AI in Supply Chain Management

This ten-lecture series is designed to provide a structured exploration of how Artificial Intelligence (AI) is transforming modern supply chain systems. The program aims to equip participants with a comprehensive understanding of both the theoretical foundations of supply chain management as well as applied methodologies of AI, focusing primarily on supervised learning (SL) and reinforcement learning (RL), as well as their integration into complex operational environments. By the end of the series, participants will have developed a strong understanding of how different AI paradigms---Supervised Learning, Reinforcement Learning, and Agentic AI---can be systematically applied to enhance efficiency, adaptability, and intelligence across all levels of supply chain management. They will be able to interpret how predictive, prescriptive, and autonomous decision-making models interact to form agent-based, self-optimizing ecosystems capable of dynamically coordinating supply, production, and logistics in real time.