The Role of Data Science in Supply Chain Optimization: Streamlining Operations and Logistics Introducing data science into supply chain optimization represents a transformative shift towards leveraging data-driven insights to enhance efficiency, reduce costs, and improve overall performance. This introduction entails integrating advanced analytics, machine learning algorithms, and predictive modeling techniques into traditional supply chain processes. In today's fast-paced global economy, businesses across industries face the challenge of optimizing their supply chain operations and logistics. This complex process involves managing inventory, transportation, production, and distribution to meet customer demands efficiently. The emergence of data science has revolutionized the way organizations approach supply chain management. By leveraging advanced analytics, machine learning, and artificial intelligence, data science plays a crucial role in streamlining operat...