Supply chains that think, decide, and act
Efficient supply chain management (SCM) has always been complex, with vast data, shifting variables, and multiple stakeholders making it difficult for humans to manage effectively. Agentic AI changes this by enabling autonomous decision-making, proactive planning, and seamless execution across procurement, logistics, and inventory management. Unlike traditional automation or generative AI, it acts independently - executing tasks, adapting to conditions, and orchestrating processes in real time. Early deployments already show measurable gains in speed, resilience, and cost savings, and EY predicts that by 2030, half of cross-functional supply chain solutions will integrate agentic AI, underscoring its transformative potential. One of the most impactful applications in SCM is demand forecasting . Companies like Blue Yonder use agentic AI to match supply and demand, optimize warehouse labor, and reduce excess inventory. For example, a global retailer deploying AI-driven forecasting...