Machine learning contributes significantly to supply chain optimization by improving forecast accuracy and enhancing decision-making. Advanced algorithms analyze vast amounts of data, identifying patterns and trends that inform procurement strategies, inventory levels, and logistics. By predicting demand fluctuations, companies can minimize excess inventory and reduce costs. Moreover, machine learning facilitates real-time monitoring of shipments, enabling companies to respond promptly to disruptions. Ultimately, integrating machine learning into supply chain management enhances resilience and efficiency, leading to improved profitability.