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SUMMARY:Forecast Pro Deep Dive Training Series (Session 3 of 3) – Simplifying Inventory Replenishment using Forecast Pro
DESCRIPTION:Register NowContents\n\nOverview\nRegistration\nSession Descriptions\nInstructors\n\nOverview\nDiscover how leading organizations tackle forecasting challenges in our new Forecast Pro Deep Dive training series. Each 2-hour session uses a case study approach to explore a specific forecasting challenge and includes actionable insights\, product demos\, interactive polling and expert Q&A. \nYou’ll leave each session with a clear understanding of best practices for setting up your forecasting process and with the insights you need to harness the full power of your Forecast Pro software. \nThe first three Deep Dives will teach you how to: \n\nSet up and maintain a collaborative forecasting process\nTrack\, measure and improve forecast accuracy\nSimplify inventory replenishment\n\nWho Should Attend\nDeep Dive sessions are valuable to any Forecast Pro user or prospect who is interested in improving their forecasts and their forecasting process. \nOur senior trainers\, James and Franklin\, have over 25 years of combined experience working with Forecast Pro clients across a wide variety of industries.  They have designed these sessions to share their knowledge of effective approaches to each forecasting challenge allowing you to implement best practices and improve your forecasting process. \n \nSession Descriptions\nSession 1: Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors (June 10\, 2025)\nMost Forecast Pro users work in a collaborative environment.  They receive feedback from multiple sources like sales\, marketing\, operations\, finance\, management\, etc. that need to be incorporated into the final forecasts.  To do this successfully\, it is important to set up a process to easily share forecasts\, seamlessly make adjustments\, and document every step. \nThe case study in this session will focus on a CPG company with 15 users across multiple regions and multiple product lines.  This training webinar will discuss: \n\nIT logistics for setting up data\nHow to break up data by region and product line  \nHow each user should interact with Forecast Pro to achieve a successful forecast\nProcesses for managing statistical forecast generation  \nBest practices when entering overrides\nHow to make changes in Excel and reincorporate them into the project  \nHow to consolidate all changes each cycle  \n\nThe Forecast Pro demonstrations in this session will highlight how to use the project collaboration and Excel collaboration functions to facilitate working in a large group. \nSession 2: Accuracy Tracking: A Major Key to Improving Your Forecasting Process (June 17\, 2025)\nAs the adage says\, "You can't improve what you don't measure." To improve your forecast accuracy\, you need to understand what's working—and what's not. This requires tracking forecast accuracy. Forecast Pro has multiple tools for tracking accuracy and for spotting items that need your attention. \nThe case study in this session will focus on an apparel manufacturing company that encounters lots of item turnover\, product mix changes\, and supply chain issues.  This training webinar will discuss: \n\nBest practices for measuring accuracy for new products  \nTechniques to effectively improve poor forecast accuracy  \nMethods for building custom accuracy calculations  \nTips for tracking items that have been reviewed  \n\nThe Forecast Pro demonstrations in this session will highlight how to use tracking reports\, exception reports\, item statuses\, and how to use common model-based fixes for poor performing items. \nSession 3: Simplifying Inventory Replenishment using Forecast Pro  (June 24\, 2025)\nMany people need to incorporate inventory planning in their forecast process.  Combining inventory replenishment models with dynamic forecasting can improve the corporate planning process and help optimize your supply chain. \nThe case study in this session will look at a small\, but growing food and beverage company which needs to handle replenishment within Forecast Pro.  This training webinar will discuss: \n\nHow to improve supply chain performance using replenishment models   \nCommonly used replenishment strategies and pitfalls   \nHow to implement replenishment models using Forecast Pro   \nKeys for tailoring a replenishment strategy to meet the needs of your organization   \n\nThe Forecast Pro demonstrations in this session will explore several replenishment models built using the override grid and discuss the benefits of better inventory management. \n \nRegistration\nDates & Times\nJune 10\, 2025: Session 1 – Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors  \nJune 17\, 2025: Session 2 – Accuracy Tracking: A Major Key to Improving Your Forecasting Process   \nJune 24\, 2025: Session 3 – Simplifying Inventory Replenishment using Forecast Pro   \nEach session will run from 10am-12pm EST. \nThis is NOT a progressive series – each session is independent of the others. You can attend one\, two\, or all three sessions. Sign up for two sessions and attend the third for free!   \nLocation\nThe Forecast Pro Deep Dive Sessions will be hosted online via Zoom. \nPrice\n$99 per session\, or buy 2 sessions and get the 3rd free! \nSpecial Offer\nWe will credit your Deep Dive registration fees towards any training services booked before July 15th. \nRegister Now \nInstructors\nJames Berry\nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nFranklin Rea\nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/forecast-pro-deep-dive-training-series-3/
LOCATION:Online Training Session
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2025/04/Forecast-Pro-Man-On-Computer-.png
END:VEVENT
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DTSTART;TZID=America/New_York:20250617T100000
DTEND;TZID=America/New_York:20250617T120000
DTSTAMP:20260408T160654
CREATED:20250415T205503Z
LAST-MODIFIED:20250425T213610Z
UID:10000098-1750154400-1750161600@www.forecastpro.com
SUMMARY:Forecast Pro Deep Dive Training Series (Session 2 of 3) – Accuracy Tracking: A Major Key to Improving Your Forecasting Process  
DESCRIPTION:Register NowContents\n\nOverview\nRegistration\nSession Descriptions\nInstructors\n\nOverview\nDiscover how leading organizations tackle forecasting challenges in our new Forecast Pro Deep Dive training series. Each 2-hour session uses a case study approach to explore a specific forecasting challenge and includes actionable insights\, product demos\, interactive polling and expert Q&A. \nYou’ll leave each session with a clear understanding of best practices for setting up your forecasting process and with the insights you need to harness the full power of your Forecast Pro software. \nThe first three Deep Dives will teach you how to: \n\nSet up and maintain a collaborative forecasting process\nTrack\, measure and improve forecast accuracy\nSimplify inventory replenishment\n\nWho Should Attend\nDeep Dive sessions are valuable to any Forecast Pro user or prospect who is interested in improving their forecasts and their forecasting process. \nOur senior trainers\, James and Franklin\, have over 25 years of combined experience working with Forecast Pro clients across a wide variety of industries.  They have designed these sessions to share their knowledge of effective approaches to each forecasting challenge allowing you to implement best practices and improve your forecasting process. \n \nSession Descriptions\nSession 1: Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors (June 10th)\nMost Forecast Pro users work in a collaborative environment.  They receive feedback from multiple sources like sales\, marketing\, operations\, finance\, management\, etc. that need to be incorporated into the final forecasts.  To do this successfully\, it is important to set up a process to easily share forecasts\, seamlessly make adjustments\, and document every step. \nThe case study in this session we will focus on a CPG company with 15 users across multiple regions and multiple product lines.  This training webinar will discuss: \n\nIT logistics for setting up data\nHow to break up data by region and product line  \nHow each user should interact with Forecast Pro to achieve a successful forecast\nProcesses for managing statistical forecast generation  \nBest practices when entering overrides\nHow to make changes in Excel and reincorporate them into the project  \nHow to consolidate all changes each cycle  \n\nThe Forecast Pro demonstrations in this session will highlight how to use the project collaboration and Excel collaboration functions to facilitate working in a large group. \nSession 2: Accuracy Tracking: A Major Key to Improving Your Forecasting Process (June 17th)\nAs the adage says\, "You can't improve what you don't measure." To improve your forecast accuracy\, you need to understand what's working—and what's not. This requires tracking forecast accuracy. Forecast Pro has multiple tools for tracking accuracy and for spotting items that need your attention. \nThe case study in this session will focus on an apparel manufacturing company that encounters lots of item turnover\, product mix changes\, and supply chain issues.  This training webinar will discuss: \n\nBest practices for measuring accuracy for new products  \nTechniques to effectively improve poor forecast accuracy  \nMethods for building custom accuracy calculations  \nTips for tracking items that have been reviewed  \n\nThe Forecast Pro demonstrations in this session will highlight how to use tracking reports\, exception reports\, item statuses\, and how to use common model-based fixes for poor performing items. \nSession 3: Simplifying Inventory Replenishment using Forecast Pro  (June 24th)\nMany people need to incorporate inventory planning in their forecast process.  Combining inventory replenishment models with dynamic forecasting can improve the corporate planning process and help optimize your supply chain. \nThe case study in this session will look at a small\, but growing food and beverage company which needs to handle replenishment within Forecast Pro.  This training webinar will discuss: \n\nHow to improve supply chain performance using replenishment models   \nCommonly used replenishment strategies and pitfalls   \nHow to implement replenishment models using Forecast Pro   \nKeys for tailoring a replenishment strategy to meet the needs of your organization   \n\nThe Forecast Pro demonstrations in this session will explore several replenishment models built using the override grid and discuss the benefits of better inventory management. \n \nRegistration\nDates & Times\nJune 10th\,\, 2025: Session 1 – Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors  \nJune 17th\, 2025: Session 2 – Accuracy Tracking: A Major Key to Improving Your Forecasting Process   \nJune 24th\, 2025: Session 3 – Simplifying Inventory Replenishment using Forecast Pro   \nEach session will run from 10am-12pm EST. \nThis is NOT a progressive series – each session is independent of the others. You can attend one\, two\, or all three sessions. Sign up for two sessions and attend the third for free!   \nLocation\nThe Forecast Pro Deep Dive Sessions will be hosted online via Zoom. \nPrice\n$99 per session\, or buy 2 sessions and get the 3rd free! \nSpecial Offer\nWe will credit your Deep Dive registration fees towards any training services booked before July 15th. \nRegister Now \nInstructors\nJames Berry\nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nFranklin Rea\nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/forecast-pro-deep-dive-training-series-2/
LOCATION:Online Training Session
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2025/04/Forecast-Pro-Man-On-Computer-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250610T100000
DTEND;TZID=America/New_York:20250610T120000
DTSTAMP:20260408T160654
CREATED:20250415T205330Z
LAST-MODIFIED:20250425T213646Z
UID:10000097-1749549600-1749556800@www.forecastpro.com
SUMMARY:Forecast Pro Deep Dive Training Series (Session 1 of 3) – Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors
DESCRIPTION:Register NowContents\n\nOverview\nRegistration\nSession Descriptions\nInstructors\n\nOverview\nDiscover how leading organizations tackle forecasting challenges in our new Forecast Pro Deep Dive training series. Each 2-hour session uses a case study approach to explore a specific forecasting challenge and includes actionable insights\, product demos\, interactive polling and expert Q&A. \nYou’ll leave each session with a clear understanding of best practices for setting up your forecasting process and with the insights you need to harness the full power of your Forecast Pro software. \nThe first three Deep Dives will teach you how to: \n\nSet up and maintain a collaborative forecasting process\nTrack\, measure and improve forecast accuracy\nSimplify inventory replenishment\n\nWho Should Attend\nDeep Dive sessions are valuable to any Forecast Pro user or prospect who is interested in improving their forecasts and their forecasting process. \nOur senior trainers\, James and Franklin\, have over 25 years of combined experience working with Forecast Pro clients across a wide variety of industries.  They have designed these sessions to share their knowledge of effective approaches to each forecasting challenge allowing you to implement best practices and improve your forecasting process. \n \nSession Descriptions\nSession 1: Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors (June 10th)\nMost Forecast Pro users work in a collaborative environment.  They receive feedback from multiple sources like sales\, marketing\, operations\, finance\, management\, etc. that need to be incorporated into the final forecasts.  To do this successfully\, it is important to set up a process to easily share forecasts\, seamlessly make adjustments\, and document every step. \nThe case study in this session we will focus on a CPG company with 15 users across multiple regions and multiple product lines.  This training webinar will discuss: \n\nIT logistics for setting up data\nHow to break up data by region and product line  \nHow each user should interact with Forecast Pro to achieve a successful forecast\nProcesses for managing statistical forecast generation  \nBest practices when entering overrides\nHow to make changes in Excel and reincorporate them into the project  \nHow to consolidate all changes each cycle  \n\nThe Forecast Pro demonstrations in this session will highlight how to use the project collaboration and Excel collaboration functions to facilitate working in a large group. \nSession 2: Accuracy Tracking: A Major Key to Improving Your Forecasting Process (June 17th)\nAs the adage says\, "You can't improve what you don't measure." To improve your forecast accuracy\, you need to understand what's working—and what's not. This requires tracking forecast accuracy. Forecast Pro has multiple tools for tracking accuracy and for spotting items that need your attention. \nThe case study in this session will focus on an apparel manufacturing company that encounters lots of item turnover\, product mix changes\, and supply chain issues.  This training webinar will discuss: \n\nBest practices for measuring accuracy for new products  \nTechniques to effectively improve poor forecast accuracy  \nMethods for building custom accuracy calculations  \nTips for tracking items that have been reviewed  \n\nThe Forecast Pro demonstrations in this session will highlight how to use tracking reports\, exception reports\, item statuses\, and how to use common model-based fixes for poor performing items. \nSession 3: Simplifying Inventory Replenishment using Forecast Pro  (June 24th)\nMany people need to incorporate inventory planning in their forecast process.  Combining inventory replenishment models with dynamic forecasting can improve the corporate planning process and help optimize your supply chain. \nThe case study in this session will look at a small\, but growing food and beverage company which needs to handle replenishment within Forecast Pro.  This training webinar will discuss: \n\nHow to improve supply chain performance using replenishment models   \nCommonly used replenishment strategies and pitfalls   \nHow to implement replenishment models using Forecast Pro   \nKeys for tailoring a replenishment strategy to meet the needs of your organization   \n\nThe Forecast Pro demonstrations in this session will explore several replenishment models built using the override grid and discuss the benefits of better inventory management. \n \nRegistration\nDates & Times\nJune 10th\,\, 2025: Session 1 – Playing Nice: How to Set up a Successful Forecasting Process with Multiple Contributors  \nJune 17th\, 2025: Session 2 – Accuracy Tracking: A Major Key to Improving Your Forecasting Process   \nJune 24th\, 2025: Session 3 – Simplifying Inventory Replenishment using Forecast Pro   \nEach session will run from 10am-12pm EST. \nThis is NOT a progressive series – each session is independent of the others. You can attend one\, two\, or all three sessions. Sign up for two sessions and attend the third for free!   \nLocation\nThe Forecast Pro Deep Dive Sessions will be hosted online via Zoom. \nPrice\n$99 per session\, or buy 2 sessions and get the 3rd free! \nSpecial Offer\nWe will credit your Deep Dive registration fees towards any training services booked before July 15th. \nRegister Now \nInstructors\nJames Berry\nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nFranklin Rea\nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/forecast-pro-deep-dive-training-series-1/
LOCATION:Online Training Session
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2025/04/Forecast-Pro-Man-On-Computer-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250608
DTEND;VALUE=DATE:20250612
DTSTAMP:20260408T160654
CREATED:20250303T212027Z
LAST-MODIFIED:20250327T205546Z
UID:10000096-1749340800-1749686399@www.forecastpro.com
SUMMARY:SAPICS 2025 Conference
DESCRIPTION:Learn More About SAPICS 2025\n  \nWe are excited to share that Forecast Pro will be exhibiting and running a pre-conference workshop at the SAPICS (South African Production and Inventory Control Society) 2025 Conference! \nCome visit us at Booth #B3\, and attend our workshop Mastering Forecast Accuracy: The Key to Supply Chain Success on Sunday\, June 8th. \nFor the last 47 years\, SAPICS has provided an exceptional platform for supply chain professionals to exchange knowledge and practical experiences at its world-class annual conference in South Africa. We hope you can join us at this year’s conference as we delve into the profound changes\, challenges\, best practices and opportunities reshaping the world of supply chain management. \nAttending SAPICS 2025? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar!
URL:https://www.forecastpro.com/event/sapics-2025-conference/
LOCATION:Century City Conference Center\, Cape Town\, South Africa
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/Cape-Town-featured-image-resized-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250515
DTEND;VALUE=DATE:20250516
DTSTAMP:20260408T160654
CREATED:20250130T203008Z
LAST-MODIFIED:20250131T211651Z
UID:10000090-1747267200-1747353599@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Events
DESCRIPTION:Click Here to Register Now!\n  \nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, Franklin Rea will offer a deep dive into when and how to build custom models in Forecast Pro. \nOne of the most important tools to generate an accurate forecast are event models.  Real world data is not perfect\, and events allow you to identify and compensate for any spikes in your history.  This way your forecast is not distorted by past issues with your data.  In this webinar we will look at real work examples of how to best utilize events. \nKey Topics that will be discussed include:  \n● Modeling brand new products\n● Re-using generic event schedules\n● Applying Outlier correction to C items only\n● How many events do you need?\n● Dealing with data length post COVID vs. using events \nJoin this session to learn how to fully take advantage of all the events have to offer! \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-events/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2025/01/Events-SwFP-Webinar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250428
DTEND;VALUE=DATE:20250501
DTSTAMP:20260408T160654
CREATED:20250221T215819Z
LAST-MODIFIED:20250228T184214Z
UID:10000095-1745798400-1746057599@www.forecastpro.com
SUMMARY:Boston Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:April 28-30 Workshop RegistrationContents \n\nWorkshop Overview & Highlights\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \n\n\nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \n \n\nThe workshop will have various sessions on important forecasting topics: \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n \nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nApril 28-30 Workshop Registration\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, April 28: 9 am – 5 pm\n\n\n\n\nIntroduction to Forecasting\n\n\nExponential Smoothing\n\n\nEvent-Index Models\n\n\nEvening Cocktail Reception\n\n\n\n\n\nTuesday\, April 29: 9 am – 5 pm\n\n\n\n\nMachine Learning\n\n\nBox Jenkins (ARIMA) Models\n\n\nDynamic Regression\n\n\nMultiple-Level Forecasting\n\n\nWorkshop 1\n\n\n\n\n\nWednesday\, April 30: 9 am – 3:30 pm\n\n\n\n\nForecast Accuracy & Evaluation\n\n\nIdentifying Problems in Your Forecasting Process\n\n\nNew Product Forecasting\n\n\nWorkshop 2\n\n\n\n\nDetailed Agenda\nMonday\, April 28\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and network after the first day of the workshop. Connect with other attendees and enjoy a drink while enjoying the historic charm of the Courtyard Boston Downtown. \nTuesday\, April 29\nForecasting With Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 1\nIn this first hands-on session attendees are guided through forecasting exercises\, applying ideas discussed during the lectures. Attendees will also have time to work with their own data with the help of the instructors. \nWednesday\, April 30\nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nWorkshop 2\nIn this second hands-on session attendees will be guided through forecasting exercises\, applying ideas discussed during the lectures. Attendees will also have time to work with their own data with the help of the instructors. \n \nVenue & Accommodations\nThe workshop will be held at the beautiful historic Courtyard Boston Downtown\, located in the heart of downtown just minutes from Boston Common. Attendees can reserve rooms at the hotel at the discounted rate of $249 per night until March 28\, 2025. Reservations can be made here or by calling (617) 426-1400. \nCourtyard Boston Downtown\n275 Tremont Street\nBoston\, MA 02116\n(617) 426-1400 \n \nWorkshop Hours \nMonday\, April 28: 9 am – 5 pm\nTuesday\, April 29: 9 am – 5 pm\nWednesday\, April 30: 9 am – 3:30 pm \nLunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n \nRegistration\nRegistration Fee: The registration fee is $1\,950 USD per attendee. A Team Discount price of $1\,550 per attendee is available to organizations registering 3 or more attendees. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \nApril 28-30 Workshop RegistrationWorkshop Attendees are eligible to receive a 10% discount (up to a maximum of $750 USD) on the purchase of new Forecast Pro licenses. \n \nInstructors\n\nEric Stellwagen\nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/april-2025-boston-business-forecasting-workshop-techniques-best-practices-application-using-forecast-pro/
LOCATION:Boston\, MA
CATEGORIES:Forecast Pro Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250213
DTEND;VALUE=DATE:20250214
DTSTAMP:20260408T160654
CREATED:20241113T222408Z
LAST-MODIFIED:20250113T183526Z
UID:10000088-1739404800-1739491199@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Item Comments & Statuses
DESCRIPTION:Click Here to Register Now!\n  \nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, James Berry will introduce new tools for managing your forecasting process in Forecast Pro using item-level comments and assigning item statuses.  \nForecasting doesn’t happen in a vacuum. It is an ongoing process in which choices made today roll forward to impact next week\, next month\, or next quarter.  Each forecasting cycle brings with it new data and areas of review.   \nForecast Pro now supports attaching comments and statuses to individual items in your data hierarchy.   This allows you to better track who has viewed or made adjustments to items.  It also allows each team member to share notes with the entire team\, improving the collaborative process.    \nIn this webinar\, James will demonstrate the new comment and status functionality in scenarios that will illustrate how to streamline your forecasting process.  \nKey Topics that will be discussed include:  \n● What is a forecasting process?\n● Assigning comments to items\n● Setting and updating item statuses\n● Sharing statuses and comments between users\n● How comments can help with accuracy tracking \nJoin this session to learn how to fully take advantage of these brand–new features in Forecast Pro!  \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-item-comments/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250210
DTEND;VALUE=DATE:20250213
DTSTAMP:20260408T160654
CREATED:20250127T175413Z
LAST-MODIFIED:20250127T190658Z
UID:10000092-1739145600-1739404799@www.forecastpro.com
SUMMARY:Manifest 2025
DESCRIPTION:We are excited to announce that Forecast Pro will be exhibiting at Manifest 2025! \nManifest Vegas is the premiere gathering that unites the ecosystem of Fortune 500 global supply chain executives\, logistics service providers\, innovators and investors at the forefront of logistics tech and end-to-end supply chain. \nAttending Manifest 2025? We’d love to see you! Stop by the Forecast Pro booth #1357 to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar! \nLearn More
URL:https://www.forecastpro.com/event/manifest-2025/
LOCATION:Las Vegas\, NV
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END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250123
DTEND;VALUE=DATE:20250124
DTSTAMP:20260408T160654
CREATED:20241231T235834Z
LAST-MODIFIED:20250102T194427Z
UID:10000089-1737590400-1737676799@www.forecastpro.com
SUMMARY:Free Webinar - New Product Forecasting: Strategies for Success
DESCRIPTION:Register Now!\nDescription:\nForecasting demand for new products is about as challenging as it gets. With limited or no demand history to guide the way\, many traditional forecasting methods simply cannot be used.  But don’t despair—there are proven methodologies and strategies that can help you tackle this challenge! \nIn this one-hour webinar\, Eric Stellwagen will explore various methods for effectively forecasting new products. He will also discuss the role of judgement and market research. \nEric will review key classifications of new products and discuss the pros and cons of various forecasting methods for: \n\nReplacement products\nProduct line extensions\nNew-to-company products\nNew-to-world products\n\nDrawing from real-world examples\, Eric will demonstrate several popular forecasting techniques for new products\, including product mapping (item supersession)\, custom component models\, forecasting by analogy\, the Bass diffusion model\, and assumption-based modeling. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nWho Should Attend:\nThis webinar is perfect for demand planners and anyone responsible for forecasting new or replacement products. Whether you’re struggling with forecasting products with limited historical data or looking to refine your approach\, this session will provide you with the tools and insights you need to improve your forecasting accuracy. \nSpeaker:\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nRegister Now!
URL:https://www.forecastpro.com/event/free-webinar-new-product-forecasting-strategies-for-success/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/12/2024-01-Webinar-Image-New-Products-700px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241203
DTEND;VALUE=DATE:20241206
DTSTAMP:20260408T160654
CREATED:20240503T222856Z
LAST-MODIFIED:20241120T002213Z
UID:10000013-1733184000-1733443199@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:December 3-5\nWorkshop Registration\n\n\nApril 8-10\nWorkshop Registration\n\n\nJuly 15-17\nWorkshop Registration\n\n\n\n\nContents\n\nWorkshop Overview\nOne-on-One Post Workshop Consulting Session\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. \nOne-on-One Post Workshop Consulting Session\nHave you ever run into a forecasting challenge and wish you had an expert you could turn to for help? Now you can! \nWorkshop attendees have the exclusive opportunity to add a personalized one-hour consulting session with one of the instructors. Take advantage of this limited offer to spend time with a forecasting expert at the significantly reduced price of $100! \nThis exclusive consulting session is your opportunity to apply what you learned in the workshop with hands-on guidance from an expert. This time is personalized to your specific needs\, whether that’s addressing specific challenges you’re facing\, working one-on-one with an instructor using your own data\, or gaining invaluable insights from a forecasting expert. \nThis session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. Feel free to include any other members of your team that may benefit from this exclusive consulting session. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nDecember 3-5\nWorkshop Registration\n\n\nApril 8-10\nWorkshop Registration\n\n\nJuly 15-17\nWorkshop Registration\n\n\n\n\nRegistration Fee: The registration fee is $595 USD per attendee. A Team Discount price of $495 per attendee is available to organizations registering 3 or more attendees. As a workshop attendee\, you can add a private one-hour post workshop consulting session with an instructor for an additional $100. This session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours: December 3-5\, 2024: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Standard Time (UTC/GMT -5 hours)). \nApril 8-10\, 2025: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). \nJuly 15-17\, 2025: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nDecember 3-5\nWorkshop Registration\n\n\nApril 8-10\nWorkshop Registration\n\n\nJuly 15-17\nWorkshop Registration
URL:https://www.forecastpro.com/event/december-2024-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/05/SOLD-OUT-BFS-December-2024-Workshop-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241114
DTEND;VALUE=DATE:20241115
DTSTAMP:20260408T160654
CREATED:20240821T231222Z
LAST-MODIFIED:20240924T220403Z
UID:10000077-1731542400-1731628799@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Compare Forecasts Utility
DESCRIPTION:Click Here to Register Now!\n  \nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, Franklin Rea will offer a deep dive into when and how to build custom models in Forecast Pro. \nForecast Pro’s Expert Selection works well for the majority of items. However\, there are instances where a custom model will need to be selected. In this webinar Franklin will discuss common scenarios where you may want to replace the model chosen by Expert Selection. He will walk through how to use the built in reports to identify these items. And how to use our new Compare Forecasts Utility to build and compare custom models. \nKey Topics that will be discussed include: \n● Using built in reports to identify forecast that need your attention\n● How to use the Compare Forecasts Utility\n● Modeling brand new products\n● Applying events to spikes in your historic data\n● Changing models on items with high forecast errors \nJoin this session to learn how to fully take advantage of the custom model capabilities built into Forecast Pro! \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-compare-forecasts-utility/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/08/CFU-Webinar-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241014
DTEND;VALUE=DATE:20241017
DTSTAMP:20260408T160654
CREATED:20240802T140524Z
LAST-MODIFIED:20240918T140026Z
UID:10000076-1728864000-1729123199@www.forecastpro.com
SUMMARY:Boston Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:October 14-16 Workshop RegistrationContents \n\nWorkshop Overview & Highlights\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \nThe workshop will have various sessions on important forecasting topics: \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n \nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nOctober 14-16 Workshop Registration\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, Oct. 14: 9 am – 5 pm\n\n\n\n\nIntroduction to Forecasting\n\n\nComponents of Data\n\n\nExponential Smoothing\n\n\nForecast Accuracy and Evaluation\n\n\nWorkshop 1\n\n\nEvening Cocktail Reception\n\n\n\n\n\nTuesday\, Oct. 15: 9 am – 5 pm\n\n\n\n\nBox Jenkins (ARIMA) Models\n\n\nEvent-Index Models\n\n\nLarge-Scale Forecasting\n\n\nMultiple-Level Forecasting\n\n\nWorkshop 2\n\n\n\n\n\nWednesday\, Oct. 16: 9 am – 3:30 pm\n\n\n\n\nNew Product Forecasting\n\n\nDynamic Regression\n\n\nForecasting With Machine Learning\n\n\nWorkshop 3\n\n\n\n\nDetailed Agenda\nMonday\, October 14\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nWorkshop 1\nThis first hands-on session familiarizes attendees with the use of the Forecast Pro software package as they are guided through sample exercises applying the ideas discussed during the lectures. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and network after the first day of the workshop. Connect with other attendees and enjoy a drink while enjoying the historic charm of the Courtyard Boston Downtown. \nTuesday\, October 15\nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nLarge-Scale Forecasting\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 2\nIn this session\, attendees are guided through forecasting exercises and have time to work with their own data with the help of the instructors \nWednesday\, October 16\nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nForecasting With Machine Learning\nMachine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition\, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. This session will discuss the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro. \nWorkshop 3\nThis final session consists of a regression example after which attendees have time to work with their own data. \n \nVenue & Accommodations\nThe workshop will be held at the beautiful historic Courtyard Boston Downtown\, located in the heart of downtown just minutes from Boston Common. Attendees can reserve rooms at the hotel at the discounted rate of $299 per night until September 23\, 2024. Reservations can be made online by clicking here or via phone by calling (617) 426-1400. \nCourtyard Boston Downtown\n275 Tremont Street\nBoston\, MA 02116\n(617) 426-1400 \n \nWorkshop Hours \nMonday\, October 14: 9 am – 5 pm\nTuesday\, October 15: 9 am – 5 pm\nWednesday\, October 16: 9 am – 3:30 pm \nLunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n \nRegistration\nRegistration Fee: The registration fee is $1\,950 USD per attendee. A Team Discount price of $1\,550 per attendee is available to organizations registering 3 or more attendees. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \nOctober 14-16 Workshop RegistrationWorkshop Attendees are eligible to receive a discount of up to $750 USD when licensing Forecast Pro Software. \n \nInstructors\n\nEric Stellwagen\nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College.
URL:https://www.forecastpro.com/event/business-forecasting-workshop-techniques-best-practices-application-using-forecast-pro/
LOCATION:Boston\, MA
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/12/job-5382501_1280.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20241013
DTEND;VALUE=DATE:20241018
DTSTAMP:20260408T160654
CREATED:20240417T220302Z
LAST-MODIFIED:20240417T220302Z
UID:10000075-1728777600-1729209599@www.forecastpro.com
SUMMARY:Dynamics Community Summit North America 2024
DESCRIPTION:We are excited to share that Forecast Pro will be exhibiting at Dynamics Community Summit North America! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. \n\n\n\n\n\nDynamics Community Summit North America is the largest independent gathering of the Microsoft business applications ecosystem of users\, partners and ISVs on the planet\, with 500+ ‘For User\, By User’ educational sessions. \n\n\n\n\n\nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar! \nClick here for more information
URL:https://www.forecastpro.com/event/dynamics-community-summit-north-america-2024/
LOCATION:San Antonio\, TX
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/San-Antonio-Resized-scaled.jpg
ORGANIZER;CN="Dynamics Communities":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240815
DTEND;VALUE=DATE:20240816
DTSTAMP:20260408T160654
CREATED:20240513T234711Z
LAST-MODIFIED:20240513T234711Z
UID:10000014-1723680000-1723766399@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Overrides
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn this installment of the Succeeding with Forecast Pro webinar series\, James Berry will offer a deep dive into using overrides in Forecast Pro. \nOver the past few years\, Forecast Pro’s Override Grid has evolved from a tool for entering forecast adjustments and comments—allowing you to collaborate with colleagues to establish the final forecasts—into a full-fledged customizable worksheet facility. Now that you can import external information\, define calculated rows and specify alternative baseline forecasts in the Override Grid\, you have the power and flexibility to create custom worksheets for planning and S&OP purposes. \nJoin this session to learn how to unleash the power of the Override Grid! \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-overrides/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/05/Succeeding-w-FP-Overrides.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240723
DTEND;VALUE=DATE:20240726
DTSTAMP:20260408T160654
CREATED:20240501T222133Z
LAST-MODIFIED:20240529T220149Z
UID:10000012-1721692800-1721951999@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:July 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration\n\n\n\n\nContents\n\nWorkshop Overview\nOne-on-One Post Workshop Consulting Session\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. \nOne-on-One Post Workshop Consulting Session\nHave you ever run into a forecasting challenge and wish you had an expert you could turn to for help? Now you can! \nWorkshop attendees have the exclusive opportunity to add a personalized one-hour consulting session with one of the instructors. Take advantage of this limited offer to spend time with a forecasting expert at the significantly reduced price of $100! \nThis exclusive consulting session is your opportunity to apply what you learned in the workshop with hands-on guidance from an expert. This time is personalized to your specific needs\, whether that’s addressing specific challenges you’re facing\, working one-on-one with an instructor using your own data\, or gaining invaluable insights from a forecasting expert. \nThis session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. Feel free to include any other members of your team that may benefit from this exclusive consulting session. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nJuly 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration\n\n\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. As a workshop attendee\, you can add a private one-hour post workshop consulting session with an instructor for an additional $100. This session can be booked at your convenience\, but must be completed within 30 days after the conclusion of the workshop. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours: July 23 – 25\, 2024: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). \nDecember 3-5\, 2024: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Standard Time (UTC/GMT -5 hours)). \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nFranklin Rea\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nJuly 23-25\nWorkshop Registration\n\nDecember 3-5\nWorkshop Registration
URL:https://www.forecastpro.com/event/july-2024-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/04/BFS-July-2024-Workshop-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240718
DTEND;VALUE=DATE:20240719
DTSTAMP:20260408T160654
CREATED:20240611T173537Z
LAST-MODIFIED:20240611T173537Z
UID:10000015-1721260800-1721347199@www.forecastpro.com
SUMMARY:Free Webinar - The Art and Science of Exponential Smoothing
DESCRIPTION:Register Now!\nDescription:\nExponential Smoothing models are one of the most commonly employed techniques in business forecasting\, favored for their simplicity and precision. In this webinar we’ll present the pros and cons of these models emphasizing when to use them\, how to build the models and how to interpret the results. \nWhether you’re new to exponential smoothing or looking to deepen your understanding\, this webinar provides essential guidance for mastering the art and science behind this workhorse technique. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nWho Should Attend:\nIf your job responsibilities include preparing or analyzing forecasts\, this webinar is for you! The webinar will discuss the ins and outs of exponential smoothing\, providing a deeper understanding of these methods and allowing you to effectively apply exponential smoothing models to your own data. \nSpeakers:\n \nEric Stellwagen will draw from his extensive expertise in forecasting approaches to provide a comprehensive overview of these popular forecasting methods. \n  \nRegister Now!
URL:https://www.forecastpro.com/event/free-webinar-the-art-and-science-of-exponential-smoothing/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/06/2024-Webinar-Exponential-Smoothing-Image-RESIZED.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240629
DTEND;VALUE=DATE:20240704
DTSTAMP:20260408T160654
CREATED:20240417T220307Z
LAST-MODIFIED:20240417T220820Z
UID:10000011-1719619200-1720051199@www.forecastpro.com
SUMMARY:International Symposium on Forecasting 2024
DESCRIPTION:Sign Up for Pre-Conference Workshop\n  \nWe are excited to share that Forecast Pro will be exhibiting and running a pre-conference workshop at the International Symposium on Forecasting 2024 Conference! \nCome visit us at our booth\, and attend our workshop  Business Forecasting: Techniques\, Application and Best Practices  on Sunday\, June 30th. \nThe International Symposium on Forecasting (ISF) is the premier forecasting conference\, attracting the world’s leading forecasting researchers\, practitioners\, and students. Through a combination of keynote speaker presentations\, academic sessions\, workshops\, and social programs\, the ISF provides many excellent opportunities for networking\, learning\, and fun. \nAttending International Symposium on Forecasting 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar!
URL:https://www.forecastpro.com/event/international-symposium-on-forecasting-2024/
LOCATION:Dijon\, France
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/Dijon.jpg
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240609
DTEND;VALUE=DATE:20240613
DTSTAMP:20260408T160654
CREATED:20240417T215934Z
LAST-MODIFIED:20240418T223620Z
UID:10000074-1717891200-1718236799@www.forecastpro.com
SUMMARY:SAPICS 2024 Conference
DESCRIPTION:Sign Up for Pre-Conference Workshop\n  \nWe are excited to share that Forecast Pro will be exhibiting and running a pre-conference workshop at the SAPICS (South African Production and Inventory Control Society) 2024 Conference! \nCome visit us at our booth\, and attend our workshop\, Improving forecast accuracy—a vital key to an efficient supply chain on Sunday\, June 9th. \nFor the last 46 years\, SAPICS has provided an exceptional platform for supply chain professionals to exchange knowledge and practical experiences at its world-class annual conference in South Africa. We hope you can join us at this year’s conference as we delve into the profound changes\, challenges\, best practices and opportunities reshaping the world of supply chain management. \nAttending SAPICS 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar!
URL:https://www.forecastpro.com/event/sapics-2024-conference/
LOCATION:Century City Conference Center\, Cape Town\, South Africa
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/Cape-Town-featured-image-resized-scaled.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240520
DTEND;VALUE=DATE:20240524
DTSTAMP:20260408T160654
CREATED:20240417T215928Z
LAST-MODIFIED:20240417T220731Z
UID:10000073-1716163200-1716508799@www.forecastpro.com
SUMMARY:Epicor Insights 2024
DESCRIPTION:We are excited to share that Forecast Pro will be exhibiting and speaking at Epicor Insights 2024! \nCome visit us at booth #207\, and attend our talk Improving Your Forecasting—The Key to Successful Demand Planning on Wednesday\, May 22nd. \nThis is an event for Epicor customers\, authorized partners\, and invited guests to connect and come away with actionable steps and stronger skills to help you take on your biggest challenges and capture new opportunities. \nAttending Epicor Insights 2024? We’d love to see you! Stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that smoothly integrates with Epicor. \nWant to schedule a time to meet? Reach out to us and let’s get it on the calendar! \nClick here for more information
URL:https://www.forecastpro.com/event/epicor-insights-2024/
LOCATION:Nashville\, TN
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2024/04/chad-morehead-AHnmupFDWCc-unsplash-scaled.jpg
ORGANIZER;CN="Epicor":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240516
DTEND;VALUE=DATE:20240517
DTSTAMP:20260408T160654
CREATED:20240215T235439Z
LAST-MODIFIED:20240215T235439Z
UID:10000071-1715817600-1715903999@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: New Products
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn the second edition of the Succeeding with Forecast Pro webinar series Franklin Rea will address the common\, yet difficult task of forecasting new products. \nFranklin will demonstrate best practices\, strategies\, and examples related to the unique challenges that accompany forecasting new products. \nThis free session will cover: \n● Best practices for introducing new products into Forecast Pro and how to track them \n● How product mapping works and when you should use it \n● Strategies for modeling new products in Forecast Pro \n      ● The ins and outs of managing product lifecycles \nWe will present this webinar twice to accommodate attendees in various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-new-products/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/02/hyundai-motor-group-h2rWePLKxvs-unsplash-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240502
DTEND;VALUE=DATE:20240503
DTSTAMP:20260408T160654
CREATED:20240410T202000Z
LAST-MODIFIED:20240411T174330Z
UID:10000072-1714608000-1714694399@www.forecastpro.com
SUMMARY:Free Webinar - Unlocking Precision: Leveraging AI for Enhanced Forecasting and Inventory Management
DESCRIPTION:Register Now!\nDescription:\nIn today’s dynamic business landscape\, accurate forecasting and optimal inventory management are imperative for sustainable growth and profitability. Traditional methods often fall short in capturing the supply chain dynamics. However\, advancements in Artificial Intelligence (AI) have revolutionized this realm\, offering unprecedented opportunities to enhance forecasting precision and optimize inventory health. \nThis webinar delves into the transformative power of AI-based solutions in forecasting. Through real-world examples and expert insights\, attendees will discover how AI algorithms analyze vast datasets\, identify patterns\, and forecast demand with unparalleled accuracy. This webinar will also explore how these insights empower organizations to streamline operations\, reduce stockouts\, minimize excess inventory\, and ultimately improve profitability. \nKey topics to be covered include: \n• Understanding the role of AI in forecasting and inventory management.\n• Exploring AI-driven demand forecasting models and their benefits.\n• Case studies showcasing successful integration of AI solutions in diverse industries.\n• Overcoming challenges and best practices for adopting AI-based forecasting systems. \nJoin us as we uncover the transformative potential of AI in revolutionizing forecast accuracy and inventory health. Whether you’re a supply chain professional\, inventory manager\, or business leader\, this webinar promises invaluable insights to stay ahead in today’s competitive landscape. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nSheetal Yadav is a seasoned supply chain specialist with a Bachelor’s in Engineering and an MBA in Supply Chain Management. With over 8 years of consulting experience\, she excels in statistical techniques\, data modeling\, and supply chain planning. She has worked with clients across diverse industries including consumer goods\, chemical paints\, pharmaceuticals\, and retail\, delivering tailored solutions to optimize planning and forecasting processes. \nSheetal’s expertise lies in harnessing data-driven approaches to address complex supply chain challenges\, driving operational excellence and tangible results for her clients. \nThis webinar is offered by Anamind\, a reseller of Forecast Pro based in India\, in collaboration with Business Forecast Systems. \n  \nRegister Now!
URL:https://www.forecastpro.com/event/free-webinar-unlocking-precision-leveraging-ai-for-enhanced-forecasting-and-inventory-management/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/04/Sheetal-Webinar-Image-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240226
DTEND;VALUE=DATE:20240229
DTSTAMP:20260408T160654
CREATED:20231218T162629Z
LAST-MODIFIED:20240207T155314Z
UID:10000068-1708905600-1709164799@www.forecastpro.com
SUMMARY:Business Forecasting Workshop: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:Sold Out\n \nContents\n\nWorkshop Overview & Highlights\nWho should attend?\nAgenda-at-a-glance\nVenue & Accommodations\nWorkshop Hours\nRegistration\nInstructors\n\n \nWorkshop Overview\nThis workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \nDuring the hands-on workshop sessions\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \n\n\n\nThe workshop will have various sessions on important forecasting topics:  \n\nIntroduction to Forecasting\nComponents of Data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation\, dynamic regression\, and machine learning\nNew Product Forecasting methods\nForecast Accuracy and Evaluation\nLarge scale & multiple-level forecasting\nIdentifying Problems in Your Forecasting Process\n\n \n\n \nWho should attend?\nThis workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe workshop also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other forecasters during breaks\, lunches and at Monday evening’s cocktail reception. \nSold Out\n\nAgenda At-a-GlanceDetailed AgendaAgenda At-a-Glance\nMonday\, February 26: 9 am – 5 pm\n\nIntroduction to Forecasting\nComponents of Data\nExponential Smoothing\nForecast Accuracy and Evaluation\nWorkshop 1\nEvening Cocktail Reception\n\n\nTuesday\, February 27: 9 am – 5 pm\n\nBox Jenkins (ARIMA) Models\nEvent-Index Models\nLarge-Scale Forecasting\nMultiple-Level Forecasting\nWorkshop 2\n\n\n\nWednesday\, February 28: 9 am – 3:30 pm\n\nNew Product Forecasting\nDynamic Regression\nForecasting With Machine Learning\nWorkshop 3\n\n\nDetailed Agenda\nMonday\, February 26\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nWorkshop 1\nThis first hands-on session familiarizes attendees with the use of the Forecast Pro software package as they are guided through sample exercises applying the ideas discussed during the lectures. \nEvening Cocktail Reception\nA cocktail reception will be held on Monday evening\, providing the opportunity to socialize and network after the first day of the conference. Connect with other attendees and enjoy a drink while enjoying the poolside Oasis Bar & Grill. \n  \nTuesday\, February 27\nBox Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nLarge-Scale Forecasting\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nWorkshop 2\nIn this session\, attendees are guided through forecasting exercises and have time to work with their own data with the help of the instructors \nWednesday\, February 28\nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables \nForecasting With Machine Learning\nMachine Learning and AI have emerged as transformational methodologies with a multitude of applications—facial recognition\, medical diagnosing and self-driving cars—to name but a few. But can Machine Learning be used to improve your forecasting? Recent forecasting research suggests that it can. This session will discuss the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro. \nWorkshop 3\nThis final session consists of a regression example after which attendees have time to work with their own data. \n\n\n\n\n\nVenue & Accommodations\nImage courtesy of https://www.wyndhamlakebuenavista.com/ \n\nThe workshop will be held at Wyndham Lake Buena Vista located just minutes from Disney Springs and the theme park. Attendees can reserve rooms at the hotel at the discounted rate of $99 per night until February 11\, 2024. Reservations can be made online by clicking here or via phone by calling (877) 999-3223. \nWyndham Lake Buena Vista Disney Springs Resort Area\n1850 Hotel Plaza Boulevard\nLake Buena Vista\, FL 32830-8406\nhttps://www.wyndhamlakebuenavista.com/ \n(407) 828-4444 \n\n\nWorkshop Hours \nMonday\, February 26: 9 am – 5 pm\nTuesday\, February 27: 9 am – 5 pm\nWednesday\, February 28: 9 am – 3:30 pm \nLunch (including a vegetarian option) will be provided daily for attendees. \nA cocktail reception will be held on Monday evening\, providing a relaxing environment for socializing and networking after the first day of the workshop. \n\nRegistration\nRegistration Fee: The registration fee is $1\,750 USD per attendee. A Team Discount price of $1\,395 per attendee is available to organizations registering 3 or more attendees. \nClass Size: Due to the interactive nature of the live presentations\, attendance is limited and attendees will be registered on a first-come-first-served basis. These workshops typically sell out\, so register now to secure your spot! \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n \nSold Out\n\nWorkshop Attendees are eligible to receive a discount of up to $750 USD when licensing Forecast Pro Software.  \n \n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nFranklin Rea \n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor. At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\nSold Out
URL:https://www.forecastpro.com/event/orlando-2024-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Orlando\, FL
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/12/job-5382501_1280.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240215
DTEND;VALUE=DATE:20240216
DTSTAMP:20260408T160654
CREATED:20240111T171056Z
LAST-MODIFIED:20240123T180511Z
UID:10000070-1707955200-1708041599@www.forecastpro.com
SUMMARY:Free Webinar - Succeeding with Forecast Pro: Project Collaboration
DESCRIPTION:Click Here to Register Now!\nDescription:\nThroughout 2024\, James and Franklin will present a 4 part webinar series: Succeeding with Forecast Pro. In the first webinar in this new quarterly series\, you’ll learn ways to improve your collaboration in Forecast Pro TRAC. \nThis free session will take a deep dive into Forecast Pro TRAC’s Project Collaboration capabilities. \nJames Berry will discuss: \n● How to set up a Parent-Child project \n● How overrides and external data get carried to and from the Parent project \n● Examples of Project Collaboration when slicing up the hierarchy by sales rep and by geography \n● When hierarchy nodes should or should not be locked \n● Whether or not to enable/disable forecasting \n● Best practices in organizing team efforts throughout the forecasting cycle (including process\, roles\, and timelines) \nThis webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nJames Berry has worked with scores of Forecast Pro clients in his role as Director of Training and Senior Consultant at BFS\, not only teaching them how to use the software\, but helping them to design\, implement\, and improve their forecasting processes. What James has gained from this experience is a unique perspective on the practical challenges users face and how to overcome them—not to mention an impressive number of frequent flier miles! \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-succeeding-with-forecast-pro-project-collaboration/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/01/Untitled-design-12.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240125
DTEND;VALUE=DATE:20240126
DTSTAMP:20260408T160654
CREATED:20240105T182059Z
LAST-MODIFIED:20240123T180428Z
UID:10000069-1706140800-1706227199@www.forecastpro.com
SUMMARY:Free Webinar: Effective Strategies for Forecasting a Product Hierarchy
DESCRIPTION:Click Here to Register Now!\nDescription:\nDoes your organization need a consistent set of forecasts across products and/or geographies? If so\, attend this free webinar to master hierarchical forecasting and navigate the challenges that come with it. \nDuring the one-hour session\, Eric Stellwagen and Sarah Darin will address key questions like: \n• Should my organization strive for “one-number” forecasts across departments?\n• How should I define the hierarchy to facilitate accurate forecasting?\n• What are the pros and cons of bottom-up\, top-down\, and custom allocations?\n• How do I know which reconciliation approach is right for my organization? \nUsing real-world examples\, this session compares and contrasts different strategies for forecasting a hierarchy emphasizing best practices throughout. \nThe webinar will be presented twice to accommodate various time zones. Completing the registration allows you to attend either session. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeakers:\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-effective-strategies-for-forecasting-a-product-hierarchy/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2024/01/Hierarchy-Webinar-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231019T130000
DTEND;TZID=America/New_York:20231019T140000
DTSTAMP:20260408T160654
CREATED:20230922T214837Z
LAST-MODIFIED:20230926T201921Z
UID:10000067-1697720400-1697724000@www.forecastpro.com
SUMMARY:Free Webinar: Forecasting with Machine Learning Demystified
DESCRIPTION:Click Here to Register Now!\nDescription:\nIn today’s fast-paced business environment there is a lot of buzz around how transformative Machine Learning (ML) can be. But how exactly does ML work? And does it have applications in demand forecasting? \nRecent research suggests Machine Learning can improve your forecasting. But although ML offers a powerful set of tools to enhance forecasts\, many people find it intimidating. \nThis free educational webinar will demystify the world of forecasting with ML\, making it accessible and understandable for both novice and seasoned forecasting professionals. \nIn this one-hour webinar Sarah Darin will discuss: \n• The fundamentals of Machine Learning in forecasting \n• How to identify scenarios where ML can improve your forecasting accuracy \n• How to use Forecast Pro’s completely automatic ML option \n• Practical tips and strategies for building custom ML models in Forecast Pro \nJoin us to understand how Machine Learning can transform your forecasting process and empower your organization to make better data-driven decisions. \nCan’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-forecasting-with-machine-learning-demystified/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/09/October-2023-Webinar-Image-SMALL.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20231015
DTEND;VALUE=DATE:20231021
DTSTAMP:20260408T160654
CREATED:20230803T180236Z
LAST-MODIFIED:20230822T180801Z
UID:10000010-1697328000-1697846399@www.forecastpro.com
SUMMARY:Dynamics Community Summit North America
DESCRIPTION:Click here for more information\n  \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at Dynamics Community Summit North America— stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. \n\n\n\n\n\nDynamics Community Summit North America is the largest independent gathering of the Microsoft business applications ecosystem of users\, partners and ISVs on the planet\, with 500+ ‘For User\, By User’ educational sessions.  Community Summit is a destination unlike any other and delivers experiences that: \n•  brings a community of new attendees and “veterans” closer \n•  fosters long-term collaboration with like-minded peers \n•  optimizes your Microsoft Business Applications with a Partner Ecosystem of services and solutions \n•  accelerates your Microsoft journey by decreasing complexities \n•  deepens your knowledge of the applications you use every day \n\n\n\n\n\n\n\n\nBusiness Forecast Systems  will be exhibiting at Dynamics Community Summit NA — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution that seamlessly integrates with Microsoft business applications. You can find us at Booth #1438 at the following show hours: \n•  Tuesday\, October 17 @ 5:30pm – 8:30pm \n•  Wednesday\, October 18 @ 12:00pm – 6:00pm \n•  Thursday\, October 19 @ 12:00pm – 6:00pm \nAttending Dynamics Community Summit NA? We’d love to see you! Reach out to us to schedule a time to meet up.
URL:https://www.forecastpro.com/event/dynamics-community-summit-north-america/
LOCATION:Charlotte\, NC
ATTACH;FMTTYPE=image/jpeg:https://www.forecastpro.com/wp-content/uploads/2023/08/charlotte-featured-image-scaled.jpg
ORGANIZER;CN="Dynamics Communities":MAILTO:summitna@dynamiccommunities.com
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230919
DTEND;VALUE=DATE:20230922
DTSTAMP:20260408T160654
CREATED:20230719T203802Z
LAST-MODIFIED:20230911T211246Z
UID:10000008-1695081600-1695340799@www.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:September Sold Out\n\n\n\n\nContents\n\nWorkshop Overview\nWho should attend?\nAgenda-at-a-glance\nRegistration\nInstructors\n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods and will cover the following: \n\nHow various forecasting methods work\nPros and cons of each method\nHow to implement best practices in Forecast Pro (via demonstrations using real-world examples)\n\nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 4 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n \nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n \n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nEvent-Index Models \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nForecasting with Machine Learning \nMultiple-Level Forecasting \nNew Product Forecasting \nOffice Hours\nQuestions & Answers \nAdditional On-Demand Presentations\nComponents of Data \nExtensions to Exponential Smoothing \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nForecasting with Machine Learning\nThis session overviews the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, how to use the completely automatic ML option in Forecast Pro and how to build custom ML models in Forecast Pro. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\n\n\nSeptember Sold Out\n\n\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 25 and attendees will be registered on a first-come-first-served basis. \nHours:  \nSeptember 19-21\, 2023: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on Tuesday\, September 26. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nFranklin Rea \n \nFranklin Rea brings over 15 years of expertise in data analysis\, technology\, marketing operations\, and mathematics to his role at BFS. With a background in the enterprise software sector\, Franklin has navigated varied industries such as cyber-security\, campaign management\, and sales training and enablement. In addition\, he has worked as a college-level mathematics instructor.  At BFS\, Franklin serves as a trainer and solutions consultant\, assisting clients in maximizing their utilization of the Forecast Pro software\, and providing a problem-solving approach and valuable insights to everyday forecasting questions. Franklin holds an M.S. in Mathematics from Northeastern University and received his undergraduate degree from Dartmouth College. \n\n\n\n\n\n\n\nSeptember Sold Out
URL:https://www.forecastpro.com/event/september-2023-online-workshop-business-forecasting-techniques-best-practices-application-using-forecast-pro/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
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DTSTART;TZID=Australia/Sydney:20230914T103000
DTEND;TZID=Australia/Sydney:20230914T113000
DTSTAMP:20260408T160654
CREATED:20230728T192248Z
LAST-MODIFIED:20230803T223933Z
UID:10000009-1694687400-1694691000@www.forecastpro.com
SUMMARY:Free Webinar: AI Driven Forecasting – Fact or Fiction?
DESCRIPTION:Click Here to Register Now!\nDescription:\nAs AI becomes more advanced and engrained in our lives\, it is normal to ponder its various business applications. \nThere is potential for AI & Machine Learning (ML) to be useful in demand forecasting – but does it actually work in practice\, or only in theory? Recent forecasting research suggests that ML can be used to improve your forecasting. \nIn this free one-hour webinar Sarah Darin will provide an overview of how a Machine Learning algorithm like the one implemented in Forecast Pro works\, and discuss the benefits of its application in demand forecasting. \nDuring this one-hour webinar you will learn: \n• The basics of Machine Learning powered forecasting \n• When ML is likely to improve your forecasts \n• How to use the completely automatic ML option in Forecast Pro \n• How to build custom ML models in Forecast Pro \nThis session accommodates time zones in the Asia Pacific Region. Can’t attend the live webinar? Register for the session and we will notify you via email when the recording is available for on-demand viewing. \nSpeaker:\n \nSarah Darin has 20 years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \nThis webinar is offered by Supply Chain Business Solutions\, an Asia Pacific Region reseller of Forecast Pro based in Australia\, in collaboration with Business Forecast Systems. \n  \nClick Here to Register Now!
URL:https://www.forecastpro.com/event/free-webinar-ai-driven-forecasting-fact-or-fiction/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
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DTSTART;VALUE=DATE:20230911
DTEND;VALUE=DATE:20230914
DTSTAMP:20260408T160654
CREATED:20230803T223815Z
LAST-MODIFIED:20230803T223815Z
UID:10000066-1694390400-1694649599@www.forecastpro.com
SUMMARY:ASCM Connect 2023: North America
DESCRIPTION:Click here for more information\n  \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at ASCM Connect 2023: North America — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. \nASCM Connect 2023: North America is the destination for end-to-end supply chain education\, networking and innovation. It is three days filled with engaging speakers\, action-oriented sessions\, and incredible ideas to grow your supply chain. \nThere’s something for everyone — expect to: \n• Build knowledge: Topics cover every aspect of the supply chain\, with a focus on today’s trends and hot topics \n• Get inspired: Three days of influential keynote speakers plus sessions led by industry experts who have overcome the biggest challenges that you’re facing right now. \n•  See supply chain in action: Explore companies and distilleries that call Louisville home on one of our Facility Tours\, visit the latest and greatest tech and engage in opportunities all in the Expo Hall. \n• Have fun: on us at our After-Dark party\, Movie Night and catered lunches. Make and share new memories with your supply chain colleagues. And maybe enjoy a little bourbon too! \nBusiness Forecast Systems (the makers of Forecast Pro) will be exhibiting at ASCM Connect 2023: North America — stop by the Forecast Pro booth to see how to improve your demand forecasting with our comprehensive solution. You can find us at Booth #423 at the following show hours: \n• Monday\, September 11 @ 11:30 am – 5:30 pm \n• Tuesday\, September 12 @ 11:30 am – 5:30 pm \nAttending ASCM Connect 2023: North America? We’d love to see you! Reach out to us to schedule a time to meet up.
URL:https://www.forecastpro.com/event/ascm-connect-2023-north-america/
LOCATION:Louisville\, KY
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ORGANIZER;CN="Association for Supply Chain Management (ASCM)":MAILTO:support@ascm.org
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DTSTART;TZID=America/New_York:20230625T090000
DTEND;TZID=America/New_York:20230625T160000
DTSTAMP:20260408T160654
CREATED:20230322T192729Z
LAST-MODIFIED:20230421T214921Z
UID:10000005-1687683600-1687708800@www.forecastpro.com
SUMMARY:ISF 2023 Workshop | Business Forecasting: Techniques\, Application and Best Practices
DESCRIPTION:Business Forecast Systems (the makers of Forecast Pro) will be running a preconference workshop at the 2023 International Symposium on Forecasting. The workshop is entitled Business Forecasting: Techniques\, Application and Best Practices and will take place on Sunday\, June 25th. We’ll also be exhibiting at the conference which takes place June 25-28—stop by and say hello! \nContents\n\nWorkshop Overview\nAgenda\nRegistration\nInstructors\n\nWorkshop Overview\nThis workshop surveys commonly implemented business forecasting methods\, explains how they work conceptually\, reveals their strengths and limitations\, and offers best practices for applying them in a business environment. \nNumerous real-life examples from a range of industries will be presented. The workshop will utilize the Forecast Pro software to illustrate how the techniques are applied to corporate data. \nYou will leave the workshop with a working knowledge of quantitative and qualitative forecasting methods\, enabling you to improve your forecast process and your forecast accuracy . \n \n\n\n\nAgendaAgenda\nPart I: Introduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, and resources for forecasters. \nPart II: Univariate Forecasting\nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models\, Croston’s intermittent demand model and a model designed to forecast items that exhibit significant volume only at certain times of the year. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \n  \nBox-Jenkins (ARIMA) Models\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures\, and model diagnostics. \nPart III: Multivariate Forecasting\nA discussion of the benefits and requirements for using multivariate forecasting methods followed by a closer look at event-index models\, machine learning approaches\, and dynamic regression models. \n  \nEvent-index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, stock outs and other events that move around the calendar. This unit addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \n  \nForecasting with Machine Learning\nAn overview of the basics and benefits of forecasting with machine learning (ML). Topics include the basics of machine learning powered forecasting\, when ML is likely to improve your forecasts\, and the steps involved in generating ML forecasts. A particular emphasis will be placed on extreme gradient boosted trees\, an ML approach that performed well in the M5 forecasting competition. \n  \nDynamic Regression\nA detailed look into the ins and outs of regression forecasting. Topics include when regression models are best applied\, how to build a regression model\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” variables. \nPart IV: Post Workshop Video Access\nIn addition to the live workshop\, attendees will have two weeks of access to an on-demand video library of the topics that will not be presented live. These include: \n  \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \n  \nForecasting Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \n  \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \n  \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include discussion of the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \n  \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification\, and a review of popular methods including item supersession\, forecasting by analogy and the Bass diffusion model. \n\n\nRegistration\n\n\n\n\n\nThis workshop is part of the 2023 International Symposium on Forecasting. For more details on the event and how to sign up\, visit the ISF website.  \nHours: The Business Forecasting Workshop will take place on Sunday\, June 25th from 9am to 4pm. \nCost: There is a fee of $150 for this full day workshop. When registering for the symposium\, you will be given the option to sign up. \n\n\n\n\n\n\n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\n\n\n\nLearn More
URL:https://www.forecastpro.com/event/isf-2023-workshop-business-forecasting-techniques-application-and-best-practices/
LOCATION:Charlottesville\, VA
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://www.forecastpro.com/wp-content/uploads/2023/03/isf-workshop-image-w-logo.png
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
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