aby joy

Walk onto almost any operations shop floor and ask a simple question: “What’s the biggest supply chain risk you are facing right now?” You’ll hear different answers immediately. One team points to inventory exposure. Another flags supplier delays. Someone else highlights demand volatility. None of them are wrong. But none of them are seeing the complete picture either. That’s the reality many global organizations face today.

Most supply chain teams do not suffer from a lack of data. They suffer from a lack of usable decision context. Inventory exceptions live in one dashboard. Supplier exposure lives somewhere else. Open sales orders require another screen. Late purchase orders need ad hoc follow-up.

In our previous blog, “Agentic AI in the Enterprise: How Oracle Is Powering the Next Wave of Autonomous Business,” we introduced Agentic AI as a shift beyond traditional automation, that is enabling systems that reason, plan, and act across complex workflows, not just generate insights.This blog moves from concept to practice.