Oracle introduces new Fusion Claw-powered AI agent applications for supply chains
At Oracle AI World in Las Vegas, Oracle announced agentic applications with approval flows for supply planning, shipment load planning and procurement spend.
On October 26, 2026, at Oracle AI World in Las Vegas, Oracle announced new agentic applications for supply chain operations powered by Fusion Claw. The applications compare options, prepare plans and carry out actions that teams approve. The release did not give pricing or an availability date.
In a press release issued at Oracle AI World in Las Vegas on October 26, 2026, Oracle announced new agentic applications for supply chain operations powered by Fusion Claw. Oracle describes Fusion Claw as a governed execution runtime that lets agentic applications carry out specialist work such as research, computation, simulation and continuous replanning. The applications run inside Oracle Fusion Cloud and within the permissions set by each organization.
- Supply Planning Allocation: works out how limited materials and capacity should be split between competing demands, weighing production lines and work centers, then compares scenarios and puts plans forward for team approval.
- Shipment Load Planning: aims to cut transport costs by finding ways to combine shipments within timing, capacity, service and cost constraints, and moves approved plans toward execution.
- Procurement Spend: reviews spending, supplier contract and purchasing data to spot purchases made outside contracts, estimates possible savings and suggests corrective steps.
- With no-code and pro-code tools in Oracle AI Agent Studio, companies can also build their own agentic applications by combining Oracle, partner and external agents.
Why it matters
The model in the announcement is one where people set the objective, the authority and the accountability, and agents prepare options and carry out the approved work. S.Y. Shenoy, senior vice president for applications development at Oracle, said the applications weigh options and trade-offs and then put the actions that teams have approved into practice. For manufacturers and distributors in Türkiye, material allocation, shipment consolidation and off-contract spending are concrete areas where AI agents could deliver measurable results. In such projects, clean ERP data and clearly defined approval steps are likely to be decisive.
Companies that want to bring production, purchasing and shipping data into one system can see our ERP page.
Sources
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