AI Agents for Supply Chain: Demand Forecasting & Inventory

Managing inventory and predicting demand can be complex, but artificial intelligence is transforming how retail and logistics operate. This text-based course guides you through the process of applying modern AI agents to supply chain management. You will explore how to transition from traditional forecasting methods to intelligent, automated systems that monitor stock levels and anticipate market needs. What you'll learn: • Understand the foundational concepts of AI agents and supply chain optimization. • Learn how to structure effective prompts for demand forecasting scenarios. • Apply Retrieval-Augmented Generation (RAG) patterns to accurately query your inventory data. • Design automated workflows for stock control and replenishment. • Practice evaluating AI-driven logistics decisions through practical written exercises. The course begins with essential terminology, defining both core supply chain metrics and the basic architecture of modern AI agents. From there, you will progress through structured, written modules that teach you how to design intelligent workflows for everyday retail challenges. Designed entirely for beginners, this course requires no prior programming or advanced logistics experience. Start reading today to modernize your supply chain skills with artificial intelligence.