Oracle Unveils AI Agents for Supply Chain
Oracle has unveiled a new suite of AI agents designed to automate and augment supply chain operations. The agents provide real-time visibility and predictive analytics to improve operational efficiency. The move reflects a broader industry trend of embedding AI at the edge of logistics and manufacturing networks.
- The announcement includes 13 new AI agents specifically for Oracle Fusion Cloud Supply Chain & Manufacturing (SCM), part of a larger release of 29 agents for its Fusion Cloud Applications. These agents are prebuilt, embedded into existing workflows, and are available at no additional cost to customers. - Specific new capabilities include an Autonomous Sourcing Agent that prepares and runs competitive bidding for purchases, an Inventory Tasking Agent that assigns warehouse work based on operator skills and availability, and an Inventory Aging Advisor to reduce the carrying costs of slow-moving stock. - The new tools are built using the Oracle AI Agent Studio for Fusion Applications, which runs on Oracle Cloud Infrastructure (OCI). This studio also allows customers and partners to build their own custom AI agents and "agent teams," pointing toward a future of multi-agent collaboration requiring new governance frameworks. - This move places Oracle in a market for AI in supply chain applications that is projected to grow from $13.93 billion in 2025 to $50.41 billion by 2032. Key competitors developing similar AI-driven supply chain solutions include SAP, Blue Yonder, Kinaxis, and IBM. - For electronics manufacturing specifically, such AI applications are used to reduce unplanned production downtime by up to 50% through predictive maintenance and to optimize component inventory by more accurately forecasting demand and potential disruptions. - One of the new tools, the Purchase Order to Sales Order Converter Agent, automates the process of extracting data from PDF purchase orders to create and submit sales orders, reducing manual data entry and errors.
