The predictive analytics capabilities of these agents could potentially lower transportation costs by 15-20% and improve order management, reducing response times by up to 50%.

Overall, these updates are expected to significantly enhance customer satisfaction by increasing shipment visibility and reducing trade costs.

This strategic expansion of AI capabilities positions Oracle to capture a larger share of the $28.9 billion supply chain management software market.

Despite some earnings falling short of analysts' expectations, Oracle's shares have risen by 41% over the past year, showcasing its resilience in the competitive tech landscape.

Oracle has launched new role-based AI agents within its Fusion Cloud Supply Chain & Manufacturing (SCM) platform, aimed at boosting productivity for supply chain professionals.

These AI agents are designed to automate routine administrative tasks across various domains, including procurement, manufacturing, maintenance, inventory management, and sustainability.

By streamlining workflows and enhancing decision-making, these agents provide personalized insights that contribute to a more agile supply chain.

Chris Leone, Oracle's executive vice president of applications development, noted that supply chain workers often waste time on administrative tasks, which these AI agents are intended to alleviate.

Among the new features are order route predictions and a transportation emissions calculator, which promote sustainable shipping practices and optimize logistics.

These advancements come as global enterprises face pressure to optimize supply chains due to inflation and geopolitical tensions, potentially saving millions in shipping-related costs.

Oracle's updates enhance its competitive standing against rivals like SAP and Microsoft, particularly in sustainability compliance amid growing ESG requirements.

In addition to these AI capabilities, Oracle is investing heavily in AI infrastructure through the Stargate Project, which aims to commit up to $500 billion in developing AI data centers in the U.S.