Automate replenishment with MMF, Databricks Genie, and Amazon Quick
AWS Machine Learning describes using foundation models to simplify catalog-wide demand forecasting and then building a closed detect–decide–act loop on Databricks and Amazon Quick that compares demand surges to live supplier availability and places replenishment orders automatically, escalating to a human only when no supplier can cover a surge.