Foundations of AI for Supply Chain and Logistics

Supply chains are becoming increasingly complex, but artificial intelligence offers powerful new ways to manage and streamline them. If you want to understand how modern operations use data to stay ahead, learning practical AI applications is an essential step. This course demystifies how artificial intelligence is transforming logistics, procurement, and inventory management. You will learn how to transition from traditional forecasting methods to modern, data-driven approaches that optimize sourcing and reduce operational bottlenecks. What you'll learn: • Understand fundamental AI terminology and how machine learning applies to logistics • Explore predictive analytics techniques for accurate demand forecasting and inventory control • Apply modern AI concepts, including basic prompt engineering, to streamline vendor communications • Analyze how retrieval-augmented generation (RAG) patterns can assist in reviewing complex supplier contracts • Identify ways to optimize sourcing routes and reduce supply chain risks using data insights • Practice evaluating AI readiness within an organization's existing operational framework The material begins with foundational definitions of artificial intelligence before moving into practical applications for forecasting, procurement, and risk management. You will read through clear explanations and structured scenarios to build your operational knowledge step by step. This course is designed for beginners, logistics professionals, and business managers, requiring no prior programming or data science experience. Start reading today to modernize your supply chain skills and bring data-driven efficiency to your operations.