What is machine learning in Supply Chain?

Machine learning in Supply Chain is the use of algorithms that learn patterns from historical and live data and keep improving their own predictions as more data arrives, instead of following fixed rules a person codes by hand. In planning, it reads signals like past demand, seasonality, supplier lead times, and promotions to estimate what is likely to happen next and how uncertain that estimate is. The practical shift is from describing the past to anticipating the future, so teams can decide before a shortage or an overstock forms rather than reacting once it already has.