Oracle AI Agents: Enhancing Manufacturing Supply Chains

In a manufacturing environment characterised by fluctuating supply chains and rising demand, the capacity to act swiftly without compromising performance has become essential for resilience.

Oracle has unveiled a new suite of AI agents designed to support leaders in responding effectively to market changes and making confident decisions.

These tools can enable manufacturing supply chains to achieve stronger business performance and unlock productivity gains.

Manufacturers globally are increasingly adopting AI to help with planning and operations as volatility has made traditional systems more challenging to operate.

Business leaders are working to implement technologies that help them anticipate risk and create mitigation strategies to avoid disruption.

By adopting technologies such as AI, digital twins and Software as a Service applications, organisations are seeing unified data points and streamlined manufacturing supply chain operations.

Oracle is a cloud technology company which provides organisations globally with computing infrastructure and software to help unlock operational efficiency.

Oracle Cloud Infrastructure assists clients with cost savings, security and performance.

It has supported businesses and organisations globally, including governments, non-profits and medical research. Its tools help streamline supply chains and connect people and data.

Embedded AI for business functions

Oracle's cloud applications have embedded AI to foster consistency and unity across business functions.

These range from resource planning, supply chain management and human capital management to customer experience.

Oracle Fusion Cloud Applications can automate business processes to assist leaders in making faster and better decisions while anticipating change before it becomes too disruptive.

Oracle has introduced a new suite of AI agents within its Oracle Fusion Cloud Applications which will support manufacturing and supply chain leaders in undergoing operational transformation.

The new agents are designed to improve decision-making capabilities and increase efficiency across planning, procurement, manufacturing, maintenance and logistics.

Streamlining upstream supply chain operations

By embedding the agents within supply chain processes, leaders could see new productivity gains alongside enhanced business performance.

The automation of end-to-end workflows is intended to ensure businesses are operating efficiently with faster insight delivery to encourage confident decisions.

The agents are prebuilt with integrated security features and are natively integrated within Oracle Fusion Applications to seamlessly embed into existing workflows.

"As supply chains grow more complex and disruptions become more frequent, organisations need faster, more automated ways to keep operations moving," says Chris Leone, Executive Vice President of Applications Development, Oracle.

"With the new AI agents embedded in Oracle Fusion Applications, leaders can meet customer demands and improve operational resilience by automating critical tasks, reducing manual errors, optimising resources and proactively resolving issues."

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The 13 new agents have been designed to target specific supply chain functions.

There are four agents to undertake roles in planning, product lifecycle management and procurement with the main aim to streamline upstream operations.

According to Oracle, these agents automate task coordination across planning, analyse disruption and explore alternatives for risk mitigation.

They also translate business goals and requirements into actionable plans and assist procurement teams with autonomous negotiation.

Reducing costs through intelligent assignment

Four agents are dedicated to manufacturing, maintenance and inventory management with the goal to optimise operations and reduce costs.

These agents estimate future costs as well as streamline compliance and supplier shipping.

Another four explore workforce skills and operational priorities to intelligently assign warehouse tasks.

The agents can identify slow-moving inventory to alert leaders of issues or low demand in order to reduce carrying costs.

The final five agents are in place to accelerate fulfilment and reduce delays across logistics, order management and service.

They can examine warehouse issues and performance to identify at-risk orders to see whether leaders need to intervene.

The agents can automatically convert purchase orders to sales orders, arrange products based on customer requirements and offer recommendations for solutions.