Oracle has embedded AI agents in its Fusion Cloud applications to help supply chain professionals act faster, reduce risk and improve operational performance.

This should let supply chain leaders accelerate decision-making and drive efficiency across planning, procurement, manufacturing, maintenance and logistics.

Built using Oracle’s AI Agent Studio for Fusion applications, the agents are embedded within supply chain processes to help unlock productivity gains and enhance business performance by automating end-to-end workflows and delivering insights that inform faster, more confident decisions.

“As supply chains grow more complex and disruptions become more frequent, organisations need faster, more automated ways to keep operations moving,” said Chris Leone, executive vice president at Oracle. “With the new AI agents embedded in Oracle Fusion applications, supply chain leaders can meet customer demands and improve operational resilience by automating critical tasks, reducing manual errors, optimising resources and proactively resolving issues.”

Running on Oracle Cloud infrastructure, the AI agents are prebuilt with integrated security features and natively integrated within Fusion applications (www.oracle.com/applications/) at no additional cost. Embedded within the existing workflows of a business, they can help users operate faster and make better decisions.

For example, a planning cycle agent helps supply chain planning teams automate task coordination and improve planning cycle efficiency. This agent retrieves, assigns and updates planning tasks within the planning workspace.

The component replacement agent helps product lifecycle management teams automate component replacement processes and reduce disruptions. This agent identifies the component being replaced, recommends alternatives, analyses supply chain impacts and generates change orders.

The planning measure expression agent helps supply chain planning teams create planning measures and KPIs more quickly and accurately. This agent translates business questions into defined planning calculations, identifies errors, explains issues and recommends corrections.

The autonomous sourcing agent helps procurement teams run competitive bidding for low-dollar, high-volume purchases. This agent identifies requisitions eligible for autonomous negotiation, prepares sourcing events, invites suppliers and sends notifications in accordance with company policies.

The maintenance work order cost estimation advisor agent helps maintenance teams optimise planning and proactively control costs. This agent estimates work order costs based on planned materials, labour and resource usage and presents consolidated data through a conversational interface.

The outside processing shipping agent helps manufacturing teams streamline shipping and improve collaboration with suppliers. This agent creates and combines shipping data for components and assemblies sent to suppliers, and helps enable compliance throughout the process.

The inventory tasking agent lets inventory management teams reduce delays and improve warehouse productivity. This agent identifies open work, evaluates operator skill sets, availability and zones, factors in real-time priorities, and assigns tasks automatically.

The inventory aging advisor agent helps inventory management teams reduce carrying costs associated with slow-moving inventory. This agent identifies aging stock across items and locations, assesses holding costs and impact, recommends actions such as returns and transfers, and executes selected actions.

The wave research advisor agent helps logistics teams resolve warehouse issues faster and improve warehouse picking and shipping performance. This agent analyses and summarises batches of warehouse work, identifies issues and root causes, and provides actionable recommendations.

The task management assistant helps logistics teams identify and prioritise at-risk orders to improve shipment reliability and fulfilment. This agent detects missing planned ship dates, surfaces key order details for supervisor review and reprioritises tasks to address potential delays.

The purchase order to sales order converter agent helps order management teams accelerate order creation and reduce fulfilment costs. This agent extracts data from PDF purchase orders, automatically creates and submits sales orders, summarises exceptions, and learns from user feedback to improve accuracy.

The product configuration agent helps order management teams automate and simplify product configuration. This agent interprets requirements in natural language, recommends and clarifies configuration options, presents side-by-side comparisons, and generates finalised configurations for quotes and sales orders.

The service parts advisor agent helps service teams accelerate service response and improve resolution accuracy. This agent uses knowledge base insights and service history to identify the right part to resolve a customer issue and automatically place orders.

Oracle Cloud SCM (www.oracle.com/scm/) provides a unified AI-powered platform that integrates supply chain and operations processes to help organisations enhance resilience and quickly adapt to market changes. In addition to the AI agents, customers and partners can also create and manage their own AI agents using AI Agent Studio (www.oracle.com/applications/fusion-ai/ai-agents/), a platform for building, testing and deploying AI agents and agent teams across the enterprise.

Texas-based Oracle (www.oracle.com) offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud.