Oracle adds AI tools to Fusion supply chain software
Tue, 30th Jun 2026 (Today)
Oracle has added four Fusion Agentic Applications to its Fusion Cloud Supply Chain & Manufacturing software, along with new inventory optimisation tools for supply chain planning.
The new applications cover inventory planning, supplier qualification, production readiness, and Kanban administration. They are intended to help organisations manage stock availability, supplier risk, and manufacturing workflows within Oracle's existing cloud supply chain suite.
The additions come as software suppliers apply generative AI and automation to routine supply chain tasks, particularly in planning and procurement, where delays and shortages can affect service levels and costs. Oracle is positioning the latest functions as embedded tools within its broader Fusion Applications portfolio rather than as standalone products.
S.Y. Shenoy, Senior Vice President of Fusion SCM Development at Oracle, outlined the market backdrop for the release.
"Supply chain leaders are under increasing pressure to improve service levels, control costs, and respond faster to disruption amid ongoing economic and operational uncertainty," Shenoy said.
The new applications are built into Oracle Fusion Cloud Supply Chain & Manufacturing and use teams of AI agents to carry out tasks and flag exceptions for human review. They operate within the security framework of the existing Fusion Applications environment.
Four areas
The Inventory Planning Command Centre is aimed at supply chain teams that need to respond more quickly to stockouts and improve inventory availability. It shifts inventory work from manual tracking to an automated workflow focused on operational issues as they emerge.
The Supplier Qualification Workspace is designed for procurement teams managing onboarding and compliance. It guides supplier qualification through a risk-based process intended to reduce fragmented tracking and manual follow-up.
For manufacturing operations, the Production Readiness Workspace focuses on setup and pre-production checks. It is intended to replace manual checklists with prompted actions that address issues before they delay production.
The Kanban Administrative Workspace targets replenishment processes in manufacturing settings. It helps teams manage shortages and excess inventory by shifting from periodic review to an exception-based process.
Planning tools
Alongside the new applications, Oracle has introduced new inventory optimisation functions in Oracle Fusion Cloud Supply Chain Planning. These include multi-echelon inventory optimisation, which calculates recommended safety stock levels across supply chain networks based on demand and lead-time variability.
Oracle has also added an interactive inventory network visualisation tool that gives planners an integrated view of supply chain relationships, inventory levels, and service-level measures across the network.
A third addition, the Inventory Optimisation Advisor Agent, is intended to highlight the factors behind service-level shortfalls and recommend safety stock adjustments. The agent analyses inventory dependencies to identify where planners may face risk.
The wider strategy reflects a growing shift among business software providers to embed AI functions directly into core operational systems. Rather than limiting AI to question-and-answer tools, vendors are increasingly adding software that can recommend actions, manage workflows, and escalate exceptions to staff.
Customers using Fusion Applications can also use AI Agent Studio for Fusion Applications to build and connect AI automation with Oracle, partner, and external agents. This places the new supply chain applications within a broader push to weave agent-based software across finance, human resources, customer management, and operations.
Shenoy said the latest additions are intended to help customers act earlier when problems arise across supply chain functions.
"With the new agentic applications and inventory optimisation capabilities in Oracle Cloud SCM, organisations can identify issues sooner, prioritise actions, and make faster, more informed decisions across planning, procurement, and manufacturing," he said.