Oracle is introducing AI-powered logistics and order management capabilities within its Fusion Cloud SCM supply chain and manufacturing offering to help organisations increase the efficiency and sustainability of global supply chains.

The updates to Oracle Transportation Management, Global Trade Management and Order Management products should help organisations improve customer satisfaction by increasing shipment visibility, lowering trade costs, enhancing transportation decision-making and reducing shipment-related emissions.

“To successfully navigate an increasingly complex global landscape, supply chain leaders need agile and efficient processes that can help them diversify and strengthen supplier networks, adapt transportation and logistics strategies, and stay ahead of regulatory changes,” said Srini Rajagopal, vice president at Oracle. “The new AI-powered capabilities in Oracle Cloud SCM help our customers address these challenges by providing the data-driven insights needed to seamlessly manage transportation, global trade and distribution processes, address regulatory compliance, and drive resiliency and sustainability across the supply chain.”

AI-powered order route predictions help transportation managers predict optimal arrival times, avoid congested ports and prevent customs delays by identifying the most cost-effective shipping routes. AI-powered transit time predictions help transportation managers improve shipment planning and reduce costs associated with delays by identifying at-risk shipments and sharing real-time arrival predictions.

A transportation emissions calculator lets transportation managers identify more sustainable and energy-efficient shipping routes by calculating transportation emissions during the shipment planning process.

Trade incentive programme processing relief helps logistics managers better use duty drawback programmes and mitigate the impact of tariffs on the supply chain by tracking goods and duties from import to export. Trade incentive programme reporting quickly generates the required data and reports needed to prepare and file drawback claims with customs authorities.

An AI-generated returns summary helps order management specialists provide timely and accurate status updates for returned orders by summarising all pertinent order information, including item specifics and user comments. The AI-generated pricing promotions summary helps pricing administrators communicate consistent descriptions of promotional details by summarising the promotional lines, benefits and conditions of a given promotion.

An item availability check helps order management specialists reduce order delays and improve customer service by simulating shipment and delivery methods to inform customers of when and how their order will be fulfilled. The order fulfilment view can reduce customer response times and provide a more precise order delivery date with visibility into potential delays or clearance issues.

Oracle Cloud SCM (oracle.com/scm) lets users 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 analyse supply chain data, generate content and augment or automate processes to improve business operations and create a resilient supply network to outpace change.

Role-based AI agents within SCM automate routine tasks and allow organisations to focus more time on supply chain initiatives. The 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 personalised insights, content and recommendations for specific tasks and specialised 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 at Oracle (www.oracle.com). “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.”