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.
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.]