From Explainable AI to Agentic AI: The Next Evolution of Decision-Centric Supply Chain Planning

For years, enterprise supply chain leaders tried to improve performance through visibility. Dashboards, control towers, analytics layers, reporting workflows, forecasting models, plus exception alerts helped teams see demand volatility, inventory exposure, supplier delays, logistics constraints, production bottlenecks, quality-release issues, and service risk more clearly.

Yet visibility alone does not make an organization better at deciding.