AI use cases for Supply Chain & Logistics
26 documented implementations
Albert Heijn uses Azure OpenAI for demand forecasting and recipe/leftover scanning, targeting over 10% food waste reduction
Albert Heijn, the Netherlands' leading supermarket chain, uses Microsoft Azure OpenAI, AI Vision and Azure Kubernetes Services for demand forecasting and generative AI customer features. It carries out daily predictions for more than 15 million store-item combinations more than 5 weeks in advance, making almost 1 billion predictions per day, and hopes to reduce its total food waste by more than 10% thanks to it. Its Dynamic Markdown initiative, which allows a product's discount to increase through the day via an Electronic Shelf Label, now saves 250,000 kilos of wasted food per year. Through its Gen AI Labs with Microsoft, Albert Heijn created a Recipe Scanner that adds a photographed recipe's ingredients to the shopping cart, and a Leftover Scanner is coming soon.
Albert Heijn· NetherlandsAzure OpenAI · Azure Kubernetes Service · AI VisionDecathlon fine-tunes Chronos-2 on AWS, cutting demand-forecast error by 11-15 points
Decathlon, one of the world's largest sporting goods retailers, replaced its previous demand-forecasting approaches (DeepAR and Holt-Winters from 2021 to 2024, then a Temporal Fusion Transformer) with the Chronos-2 time series foundation model, fine-tuned every 6 months with LoRA through AutoGluon and run on Amazon EC2 instances, with Airflow orchestration and MLflow model versioning. Benchmarked over 101 rolling cutoffs with approximately 25,000 products per cutoff, Chronos-2 fine-tuned cut 12-week WAPE by 11 percentage points in South East Asia (39% to 28%) and 15 points in Latin America (53% to 38%), and cut new-region deployment time from about 6 months to 2-3 months. It is in production for the South East Asia and Latin America supply zones, with full multi-zone rollout targeted for 2026.
DecathlonChronos-2IFS Nexus Black's Resolve cuts fault resolution time 25% for industrial field engineers
IFS Nexus Black built Resolve, an AI assistant on Claude that helps field engineers in manufacturing, energy and utilities diagnose equipment problems by analyzing images and correlating sensor readings, using Model Context Protocol to connect to legacy industrial systems. Resolve cuts fault resolution time by 25%, and at a William Grant & Sons distillery in Scotland the predictive-maintenance deployment is expected to save an estimated £8.4 million a year at that single site by shifting technicians from reactive repairs to predicting failures before they happen.
IFS Nexus BlackClaude · Model Context Protocol (MCP) · Claude Agent SDK +1ABB Leads Shift to Autonomous Operations with Genix Industrial AI Platform on Azure
ABB built its Genix Industrial IoT and AI Suite on Microsoft Azure and Azure AI Foundry Agent Service, using a multi-agent architecture so AI agents can autonomously execute workflows across assets, operations, supply chain, energy, and emissions management. Genix Copilot lets shop-floor engineers scan a QR code on an analyzer to have AI agents pull real-time data and maintenance logs and suggest a fix, cutting troubleshooting time by 60-80%. Across ABB's customer base, Genix has improved reliability of critical assets by up to 20% and reduced unplanned downtime by up to 60%. Customer Birla Opus Paints used Genix to raise its "Right First Time" production rate from 40-45% to over 80% in its first year and cut root-cause analysis time from a week to an hour.
ABB· SwitzerlandMicrosoft Azure · Azure AI Foundry Agent Service · ABB Genix Industrial IoT and AI Suite
J.B. Hunt speeds up freight matching with a Databricks lakehouse on Google Cloud
J.B. Hunt built a unified BI and AI lakehouse platform for its J.B. Hunt 360 digital freight marketplace on Google Cloud using Databricks, Delta Lake and MLflow, paired with Immuta for automated data governance, to process real-time location pings and IoT telemetry from trucks and containers. The platform trains thousands of ML models in under four hours, delivers freight recommendations to carriers 99.8% faster than before, and has produced $2.7 million in IT infrastructure savings.
J.B. HuntDatabricks Lakehouse Platform · Delta Lake · MLflow +2
Workerbase powers real-time shop floor AI workflows on Google Cloud
German manufacturing software company Workerbase uses Google Cloud's Vertex AI and Google Kubernetes Engine to deliver real-time, AI-generated troubleshooting instructions to shop floor operators when machines report faults, translating instructions into workers' preferred languages and supporting predictive maintenance. Manufacturers including Siemens and Porsche use the platform, which also lets supervisors build low-code workflow apps in hours instead of months and integrates with legacy systems like SAP.
Workerbase· GermanyGoogle Cloud Vertex AI · Google Kubernetes Engine (GKE) · BigQuery +1
Carlsberg builds AI knowledge base in two days with Microsoft Unified
Carlsberg Group built Global Brain, a large language model knowledge assistant on Azure OpenAI Service and Copilot Studio, developed in two days, that reduces time to query 4,000 operational supply chain standards by about 99% for over 10,000 supply chain workers, cutting 30-minute manual searches down to seconds.
Carlsberg Group· DenmarkAzure OpenAI in Foundry Models · Microsoft Copilot Studio · Microsoft Power Platform +2Building an agent mesh in 3 days: Syngenta's Bedrock AgentCore journey
Swiss agriculture company Syngenta built a federated multi-account agent mesh using Amazon Bedrock AgentCore, deploying the initial architecture in 3 days and six cross-functional agents in 4 weeks, achieving 20% better latency and 40% faster deployment, with its Austyn data-analytics agent now used by up to 12,000 internal monthly active users.
John Keells Holdings scales retail advanced analytics with Azure Databricks
John Keells Holdings' OCTAVE Center of Excellence used Azure Databricks, Delta Lake and MLflow to unify siloed data across 70 companies and seven industry verticals, running over 40 advanced analytics use cases including a store-clustering supply chain optimization pilot for its Keells supermarket chain that improved dry-category revenue and cut the time for annual category review.
Aggreko embeds machine learning across global operations with Azure Databricks
Aggreko, a supplier of temporary power generation equipment across 265+ locations worldwide, used Azure Databricks and Delta Lake to unify data silos and analyze real-time IoT data from tens of thousands of field assets, embedding machine learning for predictive maintenance, saving over 30,000 hours of productivity, reducing service material costs by 10%, and achieving 140% of its cost-reduction target in the first half of 2020.
Kotahi unifies supply chain data analytics on Azure Databricks
Kotahi implemented a unified data analytics solution on Azure Databricks with Delta Lake to consolidate siloed data from over 50 New Zealand exporters, importers and transport specialists, cutting a nine-hour data process down to 20 minutes, achieving 27x faster data pipelines, and reducing customer decision-making time by more than 50% via new Chilled Produce Reporting products.
Al-Futtaim becomes customer-centric with Databricks
Al-Futtaim, a Middle East conglomerate distributing brands like Toyota, IKEA and Marks & Spencer across 200+ brands, built a unified 'golden customer record' on the Databricks Data + AI Platform with Delta Lake and Delta Sharing, replacing a legacy on-premises data warehouse. This delivered a 10% increase in automotive sales, a 30% decrease in lost sale opportunity and inventory holding cost, and 4x faster time-to-insight.
Ushering in a new era of personalized retail shopping
Emart24, a Korean convenience store chain with over 6,500 stores, migrated to the Databricks Data + AI Platform to process transaction data from more than 6 billion transactions and 80,000 products, cutting analysis time from 27 hours to 1 hour (96% reduction) and lowering compute costs by 93%. The new platform underpins AI-powered product recommendation services, a cashierless smart store system, and demand forecasting for logistics centers.
Enabling business growth with happier consumers
Aditya Birla Fashion and Retail Ltd. (ABFRL) unified data from 4,000 retail locations onto the Databricks Data + AI Platform to power machine learning across markdown pricing, in-store recommendations, detractor segmentation via k-means clustering, and market basket analysis, achieving 20x faster ML serving for markdown models and cutting model development time in half. The company also uses LLMs to auto-generate product descriptions and NLP for sentiment analysis and topic classification of customer feedback.
Michelin uses machine learning to predict stock outages 15 days ahead in its supply chain
Michelin used the Databricks Data + AI Platform to democratize data access across the organization and build machine learning models trained on past supply chain data to predict stock levels 15 days ahead and recommend actions to prevent outages. Michelin used Databricks for unifying input data, collaborating on model training, and deploying and orchestrating models into production, with data continuously streamed and kept up to date in Delta Lake. The stock-outage prediction use case was an early success that helped Michelin scale to hundreds of AI and data use cases across the company.
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 HeijnDatabricksForesea 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.
