Machine Learning (ML) has become a pop culture phenomenon thanks to natural language platforms like ChatGPT and others. But how are ML methods used commercially to drive actual business results? Forecasting is the target ML use case for many supply chain leaders. In plain English, this session will explain how and why ML applies to forecasting and how it compares to non-ML forecasting techniques. Session attendees will also review guidelines for forecast accuracy expectations and results.