How Oracle's AI Agents Streamline Supply Chain Operations

The capability to act fast without sacrificing performance is the key to building operational resilience in today's demanding business environment.

Oracle has introduced a new suite of AI agents which will help leaders respond to market shifts better and make more confident decisions.

Through this, organisations will see stronger business performance and unlock productivity gains.

Businesses around the world are turning to AI as volatility has made it difficult to operate on traditional systems.

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

Through adopting technology such as AI, digital twins, Software-as-a-Service (SaaS) applications and more, organisations are seeing more unified data points and much more streamlined operations.

Oracle is a cloud technology company providing organisations around the world with computing infrastructure and software to help them unlock operational efficiency and welcome innovation.

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

Its tools help streamline operations, seamlessly switch financial plans and connect people and data around the world.

Embedding AI across business functions

Oracle's cloud applications have embedded AI to bring consistency and unity across business functions, from resource planning, supply chain management and human capital management, to customer experience.

Oracle Fusion Cloud Applications can automate business processes in order to help leaders make faster and better decisions, anticipating change before it becomes too disruptive.

Oracle has introduced a new suite of AI agents within its Oracle Fusion Cloud Applications, which will help business leaders undergo operational transformation.

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

By embedding the agents within business processes, leaders will see new productivity gains with enhanced business performance.

The automation of end-to-end workflows will ensure businesses are being as efficient as possible, with faster insight delivery to encourage more confident decisions.

The agents are prebuilt with integrated security features and are natively integrated within Oracle Fusion Applications.

They can seamlessly embed into existing workflows to improve processes across the organisation.

Enhancing operational resilience

"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, supply chain leaders can meet customer demands and improve operational resilience by automating critical tasks, reducing manual errors, optimising resources and proactively resolving issues."

The 13 new agents have been designed specifically to target particular business functions, demonstrating the versatility of AI deployment across enterprise operations.

The automation of end-to-end workflows ensures businesses are being as efficient as possible.

By reducing manual effort and automating workflows, the agents support better decision-making across the organisation. 

Targeting specific operational functions

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

In these areas, agents automate task coordination across planning and analyse disruption.

They explore alternatives for risk mitigation and translate business goals and requirements into actionable plans.

The agents also help procurement teams with autonomous negotiation.

This ensures that operations are cohesive and are working cost-effectively to ensure competitiveness and efficiency.

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

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

They also explore workforce skills and operational priorities to intelligently assign warehouse tasks.

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

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

They can examine warehouse issues and performance to identify at-risk orders to see whether leaders need to step in and make changes.

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

The 13 new agents are intended to significantly streamline operations through the reduction of manual effort, automation of workflows and support in decision-making.

This demonstrates how AI can be deployed to solve specific operational challenges rather than serving as a general-purpose tool.