Webinar: Demand Forecasting - Current Challenges and Emerging Best Practices


Please join us on Tuesday, March 16 for what should be an exciting discussion on the current challenges and emerging best practices in demand forecasting. I'll be moderating this very distinguished panel:

  • Nicolas Vandeput - supply chain data scientist, specialized in demand forecasting and inventory optimization; author of the book "Data Science for Supply Chain Forecasting" (De Gruyter)
  • Stefan de Kok - supply chain innovator, CEO of Wahupa
  • Spyros Makridakis - professor at the University of Nicosia, director of the Institute For the Future (IFF); founder of the Makridakis Open Forecasting Center (MOFC)
  • Edouard Thieuleux - founder of AbcSupplyChain

From the description:

How can excellence in demand forecasting be achieved? Data science and machine learning can be key when it comes to avoiding supply chain pitfalls and roadblocks. This webinar discusses the general issues and challenges of demand forecasting. The panelists have extensive professional experience in this area, providing insights into best practices (process, models) and discussing how data science and machine learning impact those forecasts.

Prof. Makridakis will share findings/insights from 2020's M5 Forecasting Competition, and give us a preview of the upcoming M6 and how it will differ from past competitions.

We welcome your active participation, and will be holding 20 minutes for questions from the audience.

Webinar Registration is free.

Time: Tuesday March 16, 2021 -- 3pm GMT / 11am EDT / 4pm CET

 [The webinar will be recorded and made available on De Gruyter's YouTube channel.]         



About Author

Mike Gilliland

Product Marketing Manager

Michael Gilliland is a longtime business forecasting practitioner and formerly a Product Marketing Manager for SAS Forecasting. He is on the Board of Directors of the International Institute of Forecasters, and is Associate Editor of their practitioner journal Foresight: The International Journal of Applied Forecasting. Mike is author of The Business Forecasting Deal (Wiley, 2010) and former editor of the free e-book Forecasting with SAS: Special Collection (SAS Press, 2020). He is principal editor of Business Forecasting: Practical Problems and Solutions (Wiley, 2015) and Business Forecasting: The Emerging Role of Artificial Intelligence and Machine Learning (Wiley, 2021). In 2017 Mike received the Institute of Business Forecasting's Lifetime Achievement Award. In 2021 his paper "FVA: A Reality Check on Forecasting Practices" was inducted into the Foresight Hall of Fame. Mike initiated The Business Forecasting Deal blog in 2009 to help expose the seamy underbelly of forecasting practice, and to provide practical solutions to its most vexing problems.

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