A pragmatic guide to AI & machine learning
Sep 30, 2020 • 1 minWhen it comes to AI & ML – data is king. Hear how data scientists and retail planning experts define what machine learning is, what kind of challenges it solves, and why many leading retailers are starting their transition toward machine learning-based demand forecasting – and how this is just the start.
This presentation was originally recorded for RELEX Live: Retail Forward.
Related Articles
How to build a consumer decision tree: why the best CDTs start with shopper behavior, not supply logic
See why CDTs based on shopper behavior beat vendor- and workshop-built trees, and how RELEX CDT Builder applies the method.
Agentic AI in manufacturing supply chain planning
Learn why most manufacturers need both general and tailored agents, meet the five core RELEX agents for manufacturing, and see how RELEX Open lets you deploy, connect, and extend AI across your supply chain planning.
Case Study: Grupo Vinoteca
See how Grupo Vinoteca, a Mexican wine and spirits distributor, reduced lost sales by 34.7%, cut store replenishment time by around 50%, and saved on inventory with RELEX's unified planning.