AI agents in the supply chain

This episode of Techsplainers explores how AI agents are reshaping the modern supply chain by moving operations from reactive processes toward more adaptive, autonomous systems. As the fifth and final episode in a week focused on supply chain operations and management, it introduces AI agents through a business leadership lens and explains why they are becoming increasingly important across planning, procurement, manufacturing, warehousing and logistics. The episode walks through what makes AI agents different from traditional AI and rule-based automation, focusing on their ability to perceive incoming data, reason about tradeoffs and act within defined constraints. It covers practical use cases such as demand forecasting, intelligent procurement, adaptive production scheduling, optimized warehousing, dynamic logistics and proactive risk monitoring. It also highlights the major benefits of agentic systems, including better coordination, faster decision-making, improved accuracy, resilience, scalability and cost savings. At the same time, the discussion emphasizes the challenges and governance needs that come with autonomous systems, including data quality, system integration, transparency and human oversight. The episode concludes by looking ahead to orchestrated, end-to-end agent collaboration across the broader supply chain ecosystem. Find more information here: https://www.ibm.com/think/topics/ai-agents-supply-chain Find more episodes https://www.ibm.biz/techsplainers-podcast Narrated by Mimi Sun Longo