AI use cases for Supply Chain & Logistics
11 documented implementations
Hearst uses embedded AI for invoice recognition, cash management, and supplier-payment decisions
Hearst launched Project UniFi to standardize finance, HR, and procurement on Oracle Fusion Cloud Applications, consolidating 19 general ledgers into one chart of accounts and accelerating financial close by 66%. Hearst uses automation and embedded AI to support invoice recognition, cash management, and supplier-payment decisions; intelligent payments help identify suppliers eligible for early-payment discounts across 40,000 vendor relationships.
Hearst· United StatesOracle Fusion Cloud Applications Suite · Oracle Fusion Cloud Enterprise Resource Planning · Oracle Fusion Cloud Enterprise Performance Management +3Cohu uses embedded AI to flag supply chain exceptions across a unified cloud platform
Cohu, a global semiconductor equipment company, unified finance, HR, and supply chain on Oracle Fusion Cloud Applications after multiple acquisitions left it with fragmented systems. Embedded AI supports real-time reporting across work orders and procurement and flags supply chain exceptions, while Oracle Fusion Cloud Product Lifecycle Management reviews product data for completeness and identifies process bottlenecks affecting launches.
Cohu· United StatesOracle Fusion Cloud Applications · Oracle Fusion Cloud Supply Chain and Manufacturing · Oracle Fusion Cloud Product Lifecycle Management +4Milwaukee Tool uses predictive maintenance to flag failure risks and cut unplanned downtime
Milwaukee Tool connected manufacturing and maintenance on Oracle Fusion Cloud with IoT-driven condition monitoring. Predictive maintenance capabilities flag failure risks and generate recommended work orders aligned to changeovers and micro-stops, letting teams schedule maintenance proactively rather than reactively, improving asset reliability and first-pass yield.
Milwaukee Tool· United StatesOracle Fusion Cloud Supply Chain Execution · Oracle Fusion Cloud Supply Chain and Manufacturing · Oracle Fusion Cloud Manufacturing +2Litoplas grows production with Oracle Fusion Cloud Applications
Litoplas, a Colombia-based flexible packaging manufacturer, extended its Oracle Fusion Cloud ERP deployment with Oracle Fusion Cloud Supply Chain and Manufacturing to connect operations across countries. The company increased production by 40% and improved inventory accuracy. Litoplas is now starting to use AI capabilities built into Oracle Fusion Cloud Applications for supplier questions, supplier knowledge chat, and purchase order summaries, with plans to apply AI to production sequencing, supply chain prediction, and accelerated access to operational insights.
Reducing Waste and Transport Costs with Data Insights
Albert Heijn unified data from over 50 systems onto the Databricks Data + AI Platform to enable accurate sales forecasts across 17,000 products daily across 1,276 stores and 15 warehouses, optimizing logistics, reducing food waste and lowering transport impact.
Albert HeijnDatabricks
Foresea modernizes base yard logistics with Oracle Autonomous AI Database
Foresea, a Brazilian offshore oil and gas drilling company, migrated its dock scheduling application to Oracle Autonomous AI Database 26ai with Oracle AI Database Private Agent Factory on OCI. The company replaced an unpredictable dock receiving process with a self-service booking application giving suppliers visibility into delivery status, check-in/check-out, dwell time, and document readiness, reducing wait times and overtime hours at its base yards.
Alcar Ruote speeds planning and carbon reporting with Oracle
Alcar Ruote, a European wheel manufacturer, unified planning, finance, and emissions data on Oracle Fusion Cloud Supply Chain, Finance, and Sustainability applications. An Oracle-based AI system integrates supplier data to support faster planning and procurement, while an AI-based system extracts line-item details from supplier invoices, classifies spend, and applies emission factors for carbon accounting. Automation captured 95% of key supplier invoices with no manual intervention, and monthly carbon-footprint reporting was reduced from three weeks to overnight.
Vinli Revolutionizes Fleet Intelligence with AI-Powered Operations
Vinli launched Velona, a next-generation AI-powered fleet management platform built on the Databricks Data + AI Platform, using agentic AI to connect vehicle and driver data with actionable business outcomes. Vinli realized a 40% faster time to market, a 2-3x increase in scalability and workload performance, and a 30% reduction in project onboarding time.
VinliDatabricks · Delta Lake · MLflow +2Cutting Onboarding From 28 Days to Hours With GenAI
Mirakl, an eCommerce software platform supporting over 100,000 merchants, used the Databricks Data + AI Platform to build Catalog Transformer, a GenAI solution that automates vendor catalog onboarding. Using Delta Lake, Unity Catalog, MLflow, Lakeflow Jobs and Model Serving running GPT, Llama, Mistral and CLIP models, Mirakl cut supplier catalog onboarding from an average of 28 days to under 24 hours (a 91% reduction) with roughly 50% fewer categorization errors, and extended the platform to Mirakl Nexus for agentic commerce.
MiraklDelta Lake · Unity Catalog · MLflow +3Dongwon Improves Price Forecasting and Inventory Efficiency
Dongwon Group, a South Korean seafood, food, packaging and logistics conglomerate, adopted the Databricks Data + AI Platform to unify previously siloed data across business units and enable enterprise-wide AI-driven decision-making. Using Delta Lake and Unity Catalog, Dongwon built a raw material price forecasting model that reached approximately 96% accuracy and an inventory optimization system that saves billions of won per month, while AI/BI Genie and Databricks Assistant enabled natural-language data exploration for non-technical staff.
Martur Fompak International Boosts Throughput and Efficiency with Intelligent Robotics Enabled by Joule and Embodied AI
Martur Fompak International, a global automotive seating and interior systems manufacturer, deployed an autonomous intralogistics model using SAP's Joule solution and embodied AI capabilities, partnering with UK-based robotics company Humanoid. Built on SAP S/4HANA and SAP Extended Warehouse Management, the system gives humanoid robots and autonomous mobile robots real-time knowledge of tasks, storage locations, sequencing and production priorities, letting them identify, transport and deliver materials to the production line while continuously confirming actions back into SAP systems. The company has 400 daily production line feeds with 100% SAP software-driven decision making. Early results show increased throughput and fewer errors, with a future target of up to five times greater work efficiency for mass production. Martur Fompak International was named sole winner in the AI Excellence category at the 2026 SAP Innovation Awards.
