Machine learning optimizes supply chain management by analyzing large datasets to forecast demand accurately, identify inefficiencies, and enhance decision-making processes. ML algorithms can detect patterns in customer behavior, predicting which products will be in demand and when. This enables businesses to streamline inventory management, reduce waste, and optimize logistics by anticipating issues before they arise. Integrating machine learning enhances responsiveness and agility within supply chains, ultimately increasing service levels while reducing costs and improving overall efficiency.