Algonomy’s Replenishment Optimization leverages machine learning algorithms to dynamically adjust to SKU-store level demand patterns and supply chain disruptions, ensuring hyperlocal precision in replenishment plans. This approach enhances inventory management by reducing costs, minimizing out-of-stock instances, and improving shelf availability.