Summary
Used machine learning to predict product demand across fast-changing assortments and sales channels. Integrated forecasts directly into warehouse and replenishment systems for automated execution. Reduced overstock and stock-outs while improving logistics efficiency and product availability. Enabled scalable, data-driven inventory planning across markets.