Oracle AI Agents Accelerate End-to-End Supply Chain Performance in Fusion Cloud Applications

Oracle adds AI agents to Fusion Cloud Apps to streamline planning, manufacturing, logistics, and orders. Teams get faster decisions, less manual work, and no extra add-ons.

Categorized in: AI News Operations
Published on: Oct 16, 2025
Oracle AI Agents Accelerate End-to-End Supply Chain Performance in Fusion Cloud Applications

Oracle AI Agents Put Operations Teams on the Front Foot

Oracle announced new AI agents inside Oracle Fusion Cloud Applications that target the full supply chain lifecycle-from planning and sourcing to manufacturing, inventory, logistics, and order management. The goal is simple: shorten decision cycles, reduce manual work, and keep orders flowing.

Built with AI Agent Studio for Fusion Applications and running on Oracle Cloud Infrastructure, these agents sit inside existing workflows, inherit enterprise security, and require no separate add-on. For operations leaders, that means faster adoption and immediate process impact without switching tools.

What's new for planning, PLM, and procurement

  • Planning Advisor for Exceptions and Notes Agent: Summarizes high-impact exceptions and planning notes by value, date, or type so planners can act sooner.
  • Product 360 Advisor Agent: Shows where products are stocked or used, flags risks like recalls, and suggests alternatives to avoid disruption.
  • Product Comparison Advisor Agent: Compares components side by side-specs, cost, lead time, and compliance factors-to improve sourcing choices.
  • Quote to Purchase Requisition Assistant Agent: Converts emailed supplier quotes into requisitions automatically to cut errors and speed cycle time.

What's new for maintenance, manufacturing, and inventory

  • Disposition Assistant for Rejects Agent: Surfaces inspection history and past work orders for rejected items and recommends next steps to protect schedule and quality.
  • Maintenance Work Order Builder Agent: Creates or updates work orders, assigns parts and resources, and streamlines follow-ups for faster repairs.
  • Item Shortages Analysis Agent: Detects stockouts, shows expected supply, and recommends approved substitutes or alternate sources to keep lines running.
  • Material Expiration Analysis Agent: Identifies expiring lots by location, matches to demand, and initiates transfers to reduce waste.
  • ASN Creation Assistant Agent: Generates Advanced Shipment Notifications from plain text-pulls PO, quantities, lots, and serials without navigating multiple pages.

What's new for logistics and order management

  • Outbound Compliance Agent: Checks item and shipment data against regulations and summarizes requirements like placarding, hazardous weight limits, and compatibility. Useful reference: U.S. DOT PHMSA Hazmat.
  • Fulfillment Processing Assistant Agent: Retrieves order status, kicks off picking, recommends pack strategies, and executes shipping to clear urgent orders.
  • Sales Order Assistant Agent: Builds sales orders with customers, items, pricing, promos, availability checks, and delivery scheduling-guided in real time.
  • Data Access Advisor for Sales Orders Agent: Explains role-based access rules, user assignments, and denials to resolve security and productivity blockers.
  • Order Exception Assistant Agent: Highlights affected orders, explains exception causes, suggests fixes, and lets teams test and apply corrections.

Why this matters for operations

  • Faster decisions: Agents summarize signals, surface exceptions, and propose next steps without waiting on manual analysis.
  • Fewer touches: Routine work-quote intake, ASN creation, work order setup-gets automated inside existing workflows.
  • Continuity and compliance: Shortage detection, expiration monitoring, and shipment checks lower the risk of delays and violations.
  • Integrated by default: Embedded in Oracle Fusion Cloud SCM and related apps, with security aligned to enterprise standards.

Build your own agents

Beyond the prebuilt set, teams can use AI Agent Studio for Fusion Applications to create, test, and deploy custom agents and agent teams that reflect their specific policies, data, and KPIs. This helps standardize best practices across plants, regions, and business units.

Practical next steps

  • Pick one high-friction process per area (planning exceptions, ASN creation, or order exceptions) and pilot the relevant agent.
  • Set clear targets: lead time reduction, first-pass yield, perfect order rate, inventory turns, and planner time saved.
  • Tighten data sources and role permissions so the agents see accurate, current information.
  • Document new SOPs and create a feedback loop to refine prompts, thresholds, and exception rules.

If you're building team skills to run AI in daily operations, explore practical learning paths here: AI courses by job role.

Context

The announcement was made at Oracle AI World (Las Vegas, October 15, 2025). Oracle Fusion Cloud Applications span ERP, HCM, SCM, and CX, bringing shared data and embedded AI to core business processes.


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