Does 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.
Recent 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. This free educational webinar will demystify the world of forecasting with ML, making it accessible and understandable for both novice and seasoned forecasting professionals.In 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.
One of the biggest challenges in forecasting is knowing how to create accurate forecasts that consider all the variables that could impact demand. Leveraging additional inputs makes it possible to forecast these variables in order to capture the whole story and improve accuracy. In this free one-hour webinar Eric Stellwagen will explore different types of inputs and explain when they can add value.
One of the biggest challenges in forecasting is knowing how to create accurate forecasts that consider all the variables that could impact demand. Leveraging additional inputs makes it possible to forecast these variables in order to capture the whole story and improve accuracy. In this free one-hour webinar Eric Stellwagen will explore different types of inputs and explain when they can add value.
Just as the Covid-19 pandemic has disrupted all our lives, it has also significantly impacted virtually all business planning processes. Even years after the onset of the pandemic there is still incredible uncertainty, making business forecasting extremely challenging for demand planners. In this free one-hour webinar, James Berry will discuss common problems organizations are facing and offer some solutions to these problems. He will provide pragmatic insight into how to use various forecasting methods and techniques to create accurate forecasts as we continue to navigate uncertainty from the global pandemic.
In this one-hour webinar, Spyros will provide a brief history of the forecasting field, highlighting the importance of the Makridakis competitions in guiding its progress, and emphasizing the recent achievements of machine learning (ML) methods. In addition, he will discuss the future of forecasting and the challenges and changing role of the professional forecaster when ML methods become widely adopted. This webinar is a recording of Spyros Makridakis' Keynote Presentation from the 2022 Forecast Pro User Conference.
In this educational one-hour live webinar, Marco Arias Vargas, Founding Partner of Macrologistica and seasoned supply chain educator, will review how to improve resilience and performance in the supply chain based on replenishment models, commonly used replenishment strategies and pitfalls, how to implement replenishment models using Forecast Pro, and keys for tailoring a replenishment strategy to meet the needs of your organization.
In this live one-hour educational webinar, Eric Stellwagen and Sarah Darin will discuss strategies for forecasting weekly and daily data, and some issues that may come up when working with this data. Through real-life case studies, you will learn practical approaches for defining the calendar, accommodating Week 53, correcting for the number working days, tracking holidays, forecasting multiple cycles (e.g., day of week and week of year), and converting between different periodicities.
New product forecasting is challenging—you can no longer rely on methods you use for existing products when there is little to no historical data available. In this one-hour webinar, Eric Stellwagen and Sarah Darin will survey various approaches for effectively forecasting new products. They will review pros and cons of forecasting methods for replacement products, product line extensions, new-to-company products and new-to-world products.
Machine 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. In this webinar, Sarah Darin overviews the basics and benefits of automated Extreme Gradient Boosting (XG Boost) an effective and accurate Machine Learning algorithm recently implemented in Forecast Pro.
