Machine learning can optimize logistics and supply chain operations by analyzing vast amounts of data to predict demand patterns, improve routing, and enhance inventory management. Through continuous learning from historical data, these systems can identify inefficiencies and recommend adjustments in real-time, ensuring that resources are allocated properly. ML algorithms can also facilitate automation in decision-making processes, leading to increased efficiency and reduced costs. Ultimately, these optimizations enhance customer service by ensuring timely delivery and better managing supply chain risks.