Oracle AI Agents Help Transform Supply Chain Workflows

New role-based AI agents embedded in Oracle Fusion Cloud SCM help organizations achieve new levels of productivity and growth across the supply chain

AUSTIN, Texas, Jan. 30, 2025 /PRNewswire/ -- Oracle CloudWorld -- Oracle today announced new role-based AI agents within Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to automate routine tasks and allow organizations to focus more time on strategic supply chain initiatives. Available to customers today, the new AI agents help supply chain professionals transform the way they work and achieve new levels of productivity by automating end-to-end processes and delivering personalized insights, content, and recommendations for specific tasks and specialized roles.

"Supply chain professionals often spend several hours every week on administrative tasks, such as data analysis, policy reviews, and order processing, which takes a significant toll on productivity and resources," said Chris Leone, executive vice president of applications development, Oracle. "Our new AI agents for supply chain management help ease the administrative burden by streamlining workflows and automating routine tasks to enable greater accuracy and efficiency, smarter decision-making, and ultimately, a more agile and responsive supply chain."

Spanning all areas of the supply chain, including procurement, manufacturing, maintenance, inventory management, sustainability, planning, and product lifecycle management, the new AI agents embedded in Oracle Cloud SCM seamlessly support supply chain professionals with:

Margin and risk resilience:

    --  Procurement policy advisor: Helps procurement professionals increase the
        speed and accuracy of creating, processing, and fulfilling purchase
        requisitions. For example, the agent can provide insight into
        procurement policies, share product recommendations, and identify
        specific information needed to complete a purchase requisition.
    --  Manufacturer onboarding advisor: Helps design engineers streamline the
        manufacturer and supplier onboarding process. For example, the agent can
        quickly assess newly added manufacturers and suppliers to determine if
        they meet risk profile and onboarding requirements.

Smart operations:

    --  Operational procedure advisor: Helps manufacturing and production
        operators confirm whether operations align with procedural guidelines
        and safety standards. For example, the agent can provide insight into
        the standard operating procedures for manufacturing processes and
        summarize information on specific safety standards and material handling
        guidelines.
    --  Quality inspection advisor: Helps quality engineers streamline
        inspection processes and confirm whether products align with compliance
        requirements. For example, the agent can review failed inspection
        history and provide preventive recommendations, such as tightening
        specification controls or suggesting new inspection actions.
    --  Material handling advisor: Helps material handlers engage in proper
        handling of products upon delivery. For example, the agent can provide
        information on specific material handling procedures and applicable
        regulatory requirements so that goods are routed and stored properly.

Perfect fulfillment:

    --  Claims policy advisor: Helps claims analysts make faster, more informed,
        and more consistent claim disposition decisions. For example, the agent
        can quickly review claim policy documents, identify claims that do not
        conform to policy, and provide suggestions on how those claims should be
        handled.
    --  Shipping placard handling advisor: Helps shipping agents assess
        compliance with hazardous materials placard regulations. For example,
        the agent can review shipment details and summarize guidance on the
        required content and placement of hazardous materials placards to
        address regulations.
    --  Goods delivery advisor: Helps warehouse operators streamline the
        delivery process. For example, the agent can provide detailed delivery
        instructions based on specific delivery location and noted time
        restrictions to reduce the likelihood of interruptions or delays.

Data-driven decision making:

    --  Supply chain collaboration advisor: Helps suppliers streamline access to
        company-specific policies and guidelines to improve productivity. For
        example, the agent can help provide information on forecasts and
        commitments, and review production progress and completion status.
    --  Sustainability policy advisor: Helps sustainability analysts more
        accurately report on corporate sustainability initiatives. For example,
        the agent can summarize the nuances of company sustainability policies
        and the latest industry standards to help confirm activities are being
        reported correctly.

Part of Oracle Fusion Cloud Applications Suite, Oracle Cloud SCM enables customers to seamlessly connect supply chain processes and quickly respond to changing demand, supply, and market conditions. In addition, embedded AI acts as an advisor to help analyze supply chain data, generate content, and augment or automate processes to help improve business operations and create a resilient supply network to outpace change.

For additional information on Oracle Cloud SCM applications, visit oracle.com/scm.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company--ushering in the new era of cloud computing.

View original content to download multimedia:https://www.prnewswire.com/news-releases/oracle-ai-agents-help-transform-supply-chain-workflows-302364180.html

SOURCE Oracle