Optimizing Supply Chain Management with Machine Learning
The capstone project explores the integration of machine learning algorithms into supply chain management to enhance efficiency and reduce costs. It involves developing predictive models for demand forecasting, inventory management, and logistics optimization. The study aims to demonstrate how data-driven insights can lead to better decision-making and streamlined operations, ultimately improving the overall performance of supply chain networks.