Published On Mar 16, 2021
Event from March 16, 2021
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.
Panelists:
- 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
- Moderator: Michael Gilliland - marketing manager for SAS forecasting software; serves on the Board of Directors of the International Institute of Forecasters
"Data Science for Supply Chain Forecasting": https://www.degruyter.com/document/is...
Follow us on Twitter:
/ degruyter_econ
Follow us on Linkedin:
/ degbusinesseconomics
/ de-gruyter
Follow us on Facebook:
/ degruyter.publishers
Follow us on Instagram:
/ degruyter_official
Contact: Stefan.Giesen[at]degruyter.com