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Oracle Debuts Agentic AI Applications to Automate Supply Chain Operations

Oracle has introduced four new agentic applications within its Fusion Cloud Supply Chain & Manufacturing suite, designed to move beyond simple assistance toward autonomous execution. By deploying specialized AI agent teams, the company aims to help organizations resolve stockouts, accelerate supplier qualification, and prevent manufacturing delays through proactive, reasoning-based workflows.

Oracle Debuts Agentic AI Applications to Automate Supply Chain Operations
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The new suite, which runs on Oracle Cloud Infrastructure, leverages large language models to manage routine tasks within established enterprise guardrails. These tools—the Inventory Planning Command Center, Supplier Qualification Workspace, Production Readiness Workspace, and Kanban Administrative Workspace—are engineered to surface critical trade-offs and exceptions that require human intervention, effectively shifting supply chain management from manual tracking to automated, outcome-driven processes.

Alongside these agentic tools, Oracle is rolling out enhanced inventory optimization features within its Cloud Supply Chain Planning platform. These include multi-echelon inventory optimization to calculate safety stock targets across complex networks, interactive visualization of inventory dependencies, and an Inventory Optimization Advisor Agent. According to S.Y. Shenoy, senior vice president of Fusion SCM development, these capabilities allow leaders to identify issues earlier and prioritize decisions across planning, procurement, and manufacturing as they navigate ongoing economic uncertainty.

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