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Do you want to learn about forecasting techniques and best practices that can improve your bottom line, but are pressed to find the time and budget to fit educational events into your schedule? To make it easier for you to stay informed, we invite you to learn from the experts via our free educational Webinars.

Free live Webinars
This ongoing series of 60-minute sessions provides you with in-depth knowledge on specific forecasting topics delivered right to your desk. When you attend a live Webinar, you can participate in polls on key forecasting issues and submit questions directly to the presenter.

On-demand Webinars
All of our previously presented Webinars have been recorded so that you can view these sessions at your own convenience at no charge. The following archived sessions are available to you free of charge on demand:


Forecasting Weekly and Daily Data: Practical Strategies for Better Results

Creating accurate weekly or daily forecasts can be challenging. In this session, Eric Stellwagen, CEO and Sarah Darin, Senior Consultant, review a number of practical approaches-including some that tend to be overlooked-that your team can adopt to improve your weekly or daily forecasts.



Lessons Learned From 30+ Years of Forecasting Research and Experience

In this educational one-hour Webinar Dr. Len Tashman, Professor Emeritus University of Vermont, shares principles for promoting good (and avoiding bad) forecasting practices. He reviews major principles that have been revealed in the past decade for:

  • generating forecasts
  • measuring forecast accuracy and setting accuracy goals (benchmarking)
  • managing the forecasting process and establishing behaviors that don't compromise the process


The Ins and Outs of Using Dynamic Regression Models for Forecasting

Do you want to build causal factors such as prices, promotions and economic indicators into your forecasts, but fear that building regression models is too complex and difficult? This session demystifies dynamic regression modeling, demonstrating how these models can provide insight into your data and revealing why they often yield more accurate results than alternative forecasting methods.


Effective Strategies for Forecasting a Product Hierarchy

Many organizations require a consistent set of forecasts across product and/or geographical hierarchies, causing forecasters to grapple with a host of daunting issues. In this session, Eric Stellwagen, CEO, and Sarah Darin, Senior Consultant, explains the ins and outs of forecasting a product hierarchy, addressing issues such as whether your organization strive for “one-number” forecasts across departments and how to define the hierarchy to facilitate accurate forecasting. Using real-world examples, they compare and contrast different strategies for forecasting a product hierarchy, emphasizing best practices.



Effective Strategies for Forecasting New Products

Forecasting new products is a challenge. When little or no historical data are available, the trusted forecasting methods that work well for existing products often produce inaccurate results for new products. In this Webinar, Eric Stellwagen, CEO, and Sarah Darin, Senior Consultant at Business Forecast Systems, Inc., survey various pragmatic approaches for forecasting new products more accurately.



How to Boost Your Forecast Accuracy by Modeling the Impact of Promotions and Other Events

Does your forecast accuracy suffer as a result of product promotions, stockouts, large one-time orders and/or other irregular events? In this educational one-hour session, learn how and when to use event models, how event models work and how to build customized event variables that suit the needs of your business.



Tracking Accuracy: An Essential Step to Improve Your Forecasting Process

If you want to improve your forecasting process then it’s critical to track forecast accuracy. It is only by measuring and monitoring performance that your team can assess how well it is doing, understand what is and isn’t working, and identify where it can improve the process. In this session, Eric Stellwagen, CEO of Business Forecast Systems, Inc. explains how to track forecast accuracy and apply best practices that will make a difference in your own organization.



Four Basic Steps for Creating an Effective Demand Forecasting Process

No matter how sophisticated the forecasting process is in your organization, four basic steps are required for it to be effective. In this session, Eric Stellwagen, CEO of Business Forecast Systems, Inc., reviews each of these important steps—generating baseline forecasts, adding judgment, tracking accuracy and improving the process—focusing on best practices and the pitfalls to avoid.



Advancing from S&OP to True Business Integration

In this session, Professor Mark Moon provides useful tools for auditing and improving your organization's planning capabilities including a framework for assessing the extent to which your S&OP process achieves actual Business Integration. He explains what true Business Integration is, and examines how organizational structure, processes, and culture contribute to achieving this elusive goal.



Smart Strategies for Designing, Implementing and Improving a Forecasting Process

In this session, James Berry, Senior Consultant, shares his perspective on the practical challenges organizations face when creating and implementing forecasting processes. As illustrated through client case studies, he shows how to create a roadmap to guide your organization in designing, implementing and improving upon its forecasting process. He also offers valuable insight on common roadblocks and tips for getting around them.



How to Leverage Forecasting and a Demand Control Process to Improve Customer Service

It can become a major distraction to your organization when actual demand varies significantly from what is planned, typically leading to time-consuming exercises to “close the gap.” In this Webinar, Timm Reiher and Todd Ferguson, Principals at Oliver Wight, explain how to implement a consistent demand control process, including incorporating statistical forecasts with inputs from multiple sources to create a demand plan.



The Ins and Outs of Exponential Smoothing

It's no surprise that exponential smoothing is the method of choice for many corporate forecasters—the technique creates accurate forecasts, is easy to apply, and can be automated. In this educational one-hour live Webinar, Eric Stellwagen, Vice President of Business Forecast Systems reviews the ins and outs of this popular forecasting method.



Embracing Forecast Uncertainty: Confidence Limits, Safety Stock & Order Quantities

Most forecasters realize that it is extremely unlikely that their forecasts will be 100% accurate but still depend upon them to guide the business. Understanding the uncertainty around a forecast is essential for using it in a way that improves the decision making process. In this educational one-hour live Webinar, James Berry, Director of Training at Business Forecast Systems, explains pragmatic approaches for dealing with forecast uncertainty.



Understanding Your Data: The Key to Better Forecasting
Business forecasters rely heavily on time series methods which typically capture structure in the data—such as sales levels, trends, seasonal patterns, business cycles and responses to promotions—which is critical for creating the forecast. Eric Stellwagen, Vice President of Business Forecast Systems, teaches you how to recognize the different components in your demand history and explains which elements you can—and cannot—forecast effectively.


Addressing the Challenges of New Product Forecasting
In this educational one-hour Webinar, Dr. Kenneth Kahn, Professor of Marketing and Director of the da Vinci Center at Virginia Commonwealth University reviews a variety of pragmatic approaches that you can use to forecast new products more accurately.


How to Effectively Combine Judgment with Statistical Forecasts
In this one-hour Webinar Paul Goodwin, Professor Emeritus, University of Bath, will present a series of practical recommendations to ensure that you are making forecast adjustments for the right reasons and to show you how to avoid pitfalls.


Integrating Statistical Forecasts with Other Input to Create a Demand Plan for S&OP
In this educational, one-hour Webinar, learn from acclaimed expert Colleen "Coco" Crum, Principal at Oliver Wight, who will show you how to obtain different views of demand and integrate them to create a proposed demand plan.


Identifying Problems in Your Data and Forecasts
Although most business forecasters would welcome the chance to review each item every forecasting cycle, with limited resources this is simply not possible. Eric Stellwagen, Vice President of Business Forecast Systems, explains pragmatic approaches for identifying problem area quickly and systematically—both in the history and forecasts.


What Now? How to Proceed When Automatic Forecasting Doesn't Work
Does your organization rely heavily on automated extrapolation-based forecasting algorithms despite being dissatisfied with some of the results? Watch this educational one-hour Webinar to learn practical ways to improve your forecasts when the "one size fits all" approach of these automatic methods falls short.


Tailoring Your Forecasting Methods to Improve Accuracy
Dr. Nada Sanders of Lehigh University demonstrates how you can improve accuracy by applying different forecasting methods to different segments of your data.


A Roadmap for Improving Forecasting in Demand Planning and S&OP Processes
Forecasting is a critical part of Demand Planning and S&OP processes. Almost all organizations can improve their forecasting—often dramatically—by assessing current processes and implementing changes where they add value. In this Webinar, James Berry, Senior Consultant at Business Forecast Systems, reviews methods, best practices and processes that you can implement to improve forecasting in your organization.


How to get Good Forecasts from Bad Data
Business forecasters are expected to create accurate forecasts regardless of the quality of the inputs and, unfortunately, most have no choice but to work with less-than-perfect data. In this educational session, Ellen Bonnell, CEO of Trends Savants, shares seven guiding principles for getting good forecasts from bad data.


The 7 Habits of Highly Effective S&OP
S&OP is a process designed to bring together a variety of functions in an organization. While many companies recognize the potential benefits of S&OP, they often struggle to implement the process with any level of effectiveness. Dr. Mark Moon, Director of the Forecasting & Demand Management Forum at the University of Tennessee, explores ways to make S&OP implementations more effective–the key to success.