Oracle today announced new AI agents within Oracle Fusion Cloud Applications to help supply chain leaders accelerate decision-making and drive greater efficiency across planning, procurement, manufacturing, maintenance, and logistics.
Built using Oracle AI Agent Studio for Fusion Applications, the new AI agents are embedded within supply chain processes to help leaders 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, organizations need faster, more automated ways to keep operations moving,” says Chris Leone, EVP of applications development, 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, optimizing resources, and proactively resolving issues.”
Oracle also announced new capabilities in Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to help organizations manage the unique requirements of process manufacturing. The latest innovations help organizations that produce goods by mixing or blending ingredients improve real-time production visibility and meet regulatory requirements by connecting formulas, recipes, materials, and batch execution in a unified cloud solution.
“Process manufacturers in complex, regulated industries, such as life sciences, chemical, and food and beverage, must deliver consistent quality at scale despite high variability in materials, yields, and production conditions,” says Derek Gittoes, group vice president, SCM product management, Oracle. “The latest innovations in Oracle Cloud SCM help customers adapt production in real time, improve batch outcomes, and maintain traceability as materials, formulas, and conditions change across operations.”
The new process manufacturing capabilities are available in Oracle Fusion Cloud Manufacturing, which connects the digital supply chain to the physical factory and supports mixed-mode manufacturing strategies across make-to-stock, make-to-order, configure-to-order, make-to-project, contract manufacturing, and outside processing environments.
Key takeaways:
For Oracle Fusion Cloud Applications:
Planning, product lifecycle management, and procurement:
- 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.
- Component Replacement Agent: Helps product lifecycle management teams automate component replacement processes and minimize disruptions. This agent identifies the component being replaced, recommends alternatives, analyzes supply chain impacts, and generates change orders.
- 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.
- 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.
Maintenance, manufacturing, inventory management:
- Maintenance Work Order Cost Estimation Advisor Agent: Helps maintenance teams optimize planning and proactively control costs. This agent estimates work order costs based on planned materials, labor, and resource usage and presents consolidated data through a conversational interface.
- 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.
- Inventory Tasking Agent: Helps 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.
- 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.
Logistics, order management, and service:
- Wave Research Advisor Agent: Helps logistics teams resolve warehouse issues faster and improve warehouse picking and shipping performance. This agent analyzes and summarizes batches of warehouse work, identifies issues and root causes, and provides actionable recommendations.
- Task Management Assistant: Helps logistics teams identify and prioritize at-risk orders to improve shipment reliability and fulfillment. This agent detects missing planned ship dates, surfaces key order details for supervisor review, and reprioritizes tasks to address potential delays.
- Purchase Order to Sales Order Converter Agent: Helps order management teams accelerate order creation and reduce fulfillment costs. This agent extracts data from PDF purchase orders, automatically creates and submits sales orders, summarizes exceptions, and learns from user feedback to improve accuracy.
- 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 finalized configurations for quotes and sales orders.
- 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.
For Oracle Manufacturing Applications:
Streamlined recipe and yield management:
- Formula-recipe-batch synchronization: Helps manufacturers maintain consistent product quality and regulatory compliance by automatically synchronizing formula changes with recipes and using AI-assisted what-if scenarios to update affected batches.
- Operation yield modeling: Helps manufacturers understand and control process loss by modeling yields for each operation and tracking batch quantities based on contributing formula ingredients.
Flexible batch manufacturing execution:
- Batch size range definition: Helps manufacturers adjust production to meet changing demand by automatically selecting the correct recipe based on batch size.
- Intermediate input and output tracking: Helps manufacturers improve production tracking accuracy by dynamically determining batch quantities based on actual materials used and outputs produced at each operation.
Connected process execution:
- Material sequencing in an operation: Helps manufacturers improve traceability and reduce errors by sequencing and issuing a material multiple times within the same operation.
- Multi-operation co-product and by-product recovery: Helps manufacturers track production outcomes by completing co-products and by-products across multiple operations.
- Electronic batch record approval: Helps manufacturers maintain regulatory compliance by enabling electronic review and signature for approval of completed batches, with a fully auditable production record.
- Smart Operations integration: Helps manufacturers improve production accuracy by capturing operation quantities directly from connected factory floor equipment through Smart Operations, a cloud-based capability that connects factory floor equipment to manufacturing execution.
Advanced materials traceability and control:
- Lot-specific unit-of-measure conversions: Help manufacturers account for lot-to-lot variability by automatically applying lot-specific unit-of-measure conversions to accurately manage inventory, production, and fulfillment.
- Lot grade capture: Helps manufacturers maintain quality standards by capturing and classifying the grade of each lot during production.
- Expired lot prevention: Helps manufacturers reduce risk and waste by blocking the use of expired materials in production.
- Automated product lot expiration calculation: Helps manufacturers improve shelf-life accuracy by automatically calculating finished goods’ expiration dates based on ingredient shelf life and production timing.
