Supply Chain AI Use Case Ranking

Blue Origin, a leading aerospace company, accelerated lunar hardware development by leveraging AI agents and advanced AWS services.,The company built BlueGPT platform with over 2700 AI agents using Amazon Bedrock, Amazon Bedrock AgentCore, Amazon EKS, Amazon EC2, Amazon OpenSearch, and Strands Agents SDK.,BlueGPT enables autonomous iterative design loops, complex GPU-accelerated physics simulations, and hierarchical AI agent orchestration, drastically reducing hardware development time from years to days.,This AI-powered approach democratized AI use across 70% of employees, improving productivity and enabling the delivery of the world’s first AI agent-designed lunar hardware ready for Moon deployment.

Microsoft has transformed its supply chain by consolidating over 30 systems into a single data lake on Azure enabling AI-driven autonomous workflows. Over 25 AI agents handle tasks such as demand planning, spare-part space optimization, transport optimization, and invoice analysis. The system integrates simulations, digital twins, and AI-powered robotics to optimize warehouse and logistics operations.,The platform uses technologies including Azure Machine Learning, Microsoft Fabric, Azure IoT Operations, Microsoft 365 Copilot, Microsoft Foundry, NVIDIA Isaac Sim, Azure Kubernetes Services, Microsoft Power Automate, and Celonis Process Intelligence Graph. It hosts AI agents able to reason, plan, and act, improving operational KPIs and saving hundreds of work hours monthly across Microsoft and partner warehouses.,Physical AI robotics like humanoid robots are deployed for warehouse tasks and last-mile deliveries enhancing operational agility. Partners such as SoftServe and Celonis have implemented agentic AI and digital twin solutions, achieving significant productivity gains in pharmaceutical logistics and warehouse automation.

Vxceed, a global SaaS provider for consumer packaged goods sales and distribution, built a near real-time AI platform on AWS to improve store-level visibility and execution for retail-focused organizations.,The platform interprets store signals, produces actionable guidance for commercial teams, and generates AI news bulletins with audio and video.

Land O'Lakes, a leading US agricultural cooperative, expanded its partnership with Microsoft to launch Oz, an AI-powered digital assistant built on Azure AI Foundry. Oz gives retail agronomists instant access to two decades of proprietary crop data, supporting rapid, informed decisions for cost-effective farming interventions. The alliance aims to relieve economic pressure on US farms facing rising input costs, margin squeezes, and climate-related challenges.,The collaboration represents a broader modernization initiative, with the majority of Land O'Lakes' IT migrated to Azure Cloud and Copilot tools tailored to farm management. Additional digital platforms, like Digital Ag and Digital Dairy, enable farmers to track soil health, optimize herds, and align outputs with consumer demand.,Oz is being positioned as a precision tool for agronomists and demonstrates how AI and cloud can advance food security, climate-resilient farming, and operational efficiencies in agriculture.

Druva built DruAI, an agentic AI solution to help customers complete cyber investigations and recovery workflows.,The solution uses a multi-agent system on AWS with AgentCore Memory, AgentCore Code Interpreter, Amazon Bedrock access to Claude models, voice capabilities with Amazon Nova Sonic, and Bedrock Guardrails.,In production, DruAI coordinates 8 to 10 specialized agents across investigation, help, and recovery workflows.

Trend Micro enhanced its Companion AI assistant in its Vision One security software with long-term and short-term agentic memory capabilities.,The company used Amazon Neptune as a knowledge graph and experience layer to connect threat intelligence, alerts, investigations, and successful remediation patterns so analysts can get more explainable and personalized security recommendations.,Trend Micro combined Amazon Bedrock, Amazon Textract, and Amazon Managed Streaming for Apache Kafka to orchestrate agentic workflows, clean and enrich user conversations, and feed metadata into the graph for long-term memory and correlation analysis.

Schneider Electric, a global leader in energy and industrial automation, faced growing operational complexity and rising energy demands in AI-driven industrial environments. To maintain its leadership and advance sustainability, Schneider Electric developed an AI-native ecosystem centered on its EcoStruxure platform and powered by Microsoft Azure AI Foundry and Azure OpenAI. Strategic alliances with Microsoft and NVIDIA enabled the integration of AI throughout energy, automation, and sustainability applications. Schneider Electric now delivers industrial AI copilots, end-to-end AI-ready infrastructure for high-density data centers (including liquid cooling with Motivair), predictive maintenance, and a data-driven 'self-healing' supply chain. The architecture enables seamless connection from sensors and hardware to cloud AI services, driving outcomes like lower costs, accelerated delivery, and massive reductions in energy and carbon footprint. Schneider Electric has achieved a €130M+ supply chain value, reduced inventory/delivery times, and scaled recurring AI software revenues. Its open ecosystem and vertical integration make it a dominant industrial AI partner globally.

Axpo, Switzerland’s leading renewable energy producer, undertook a digital transformation to enhance power grid operational efficiency. Facing challenges with decentralized, slow asset information retrieval over a 2,400 km high-voltage grid with 90,000+ assets, Axpo developed the web-based 'Insights' platform. Leveraging Microsoft Azure Cognitive Search, Azure Maps, Power BI, Azure IoT Edge/Hub, and Azure Data Factory, the platform provides real-time asset data, AI-based drone image analysis, SCADA integration, and incident management, enabling faster and safer asset monitoring and predictive maintenance.,Key integrations enabled engineers and maintenance teams to visualize assets geographically, rapidly locate faults, and streamline both manual and drone inspection processes. The Incident Management Module improved crew response and communication. Results include a 99% reduction in asset information search times, safer line inspections via drones, and stepwise progress toward predictive maintenance, supporting grid reliability for Switzerland and Liechtenstein.

Infosys Topaz offers an AI-first suite of services, frameworks, and platforms built on Microsoft Azure, Azure OpenAI Service, and Azure Cognitive Services. The solution integrates 12,000+ AI assets and 150+ pre-trained AI models to accelerate organizations’ AI adoption and ROI across industries.,Real implementations include the Goods and Services Tax Network (GSTN), which reduced tax fraud via advanced fraud analytics processing 20 billion transactions. Molina Healthcare enhanced digital transformation and member service through AI-infused cloud technologies, while Siemens leveraged Topaz for digital workforce upskilling and personalized learning, and Booking Holdings benefited from AI-first cybersecurity threat management.,These transformations, led by Infosys in partnership with Microsoft, utilized AI to automate complex processes, optimize operational efficiencies, and strengthen regulatory compliance. The solutions provide responsible, ethical, and secure AI embedded into business operations, purpose-built to create enterprise value and customer trust.,Independent recognition includes awards for enterprise adoption of AI and strategic market leadership. The platform also includes agentic functions and has launched over 200 AI agents for various enterprise tasks. The AI-driven approach helps enterprises unlock efficiencies at scale, future-proof their investments, and build robust connected ecosystems.

Novus Hi-Tech enhanced FleetGPT to improve fleet safety operations as its deployments expanded.,The system assesses unsafe events in context, determines next-best actions, automates routine follow-up, and escalates higher-risk cases while human teams remain the validation layer.,Amazon Bedrock powers the reasoning layer across video, telemetry, and driver-behavior data; AWS IoT Core, Amazon Kinesis Video Streams, Amazon S3, and AWS Step Functions support ingestion, storage, and workflow orchestration.

Chow Tai Fook Jewellery Group standardized on Microsoft 365 E5 and Microsoft Purview, then used Microsoft Azure OpenAI Service, Microsoft Fabric, GitHub Copilot, and a Copilot ecosystem to embed AI across luxury retail operations.,The company deployed more than 400 customized AI agents, built a closed-loop AI empowerment system for diagnosis, training, and real-time execution, created a hyper-aware omnichannel AI engine linking online intent to inventory-backed recommendations, and introduced a natural-language AI Insights Platform for management.

Fujitsu faced time-consuming and manual sales proposal creation processes, hampering staff productivity and slowing the onboarding of new salespeople. To address these challenges, Fujitsu developed an orchestrated multi-agent AI system using Microsoft Azure AI Agent Service, Azure AI Foundry, and Semantic Kernel, allowing them to automate data gathering and proposal drafting. The new system integrates with Fujitsu's existing workflows and leverages multiple specialized AI agents to dynamically retrieve, synthesize, and tailor sales proposals from dispersed enterprise data sources. As a result, Fujitsu boosted sales team productivity by 67%, enabling staff to focus on customer engagement, faster onboarding for new hires, and delivery of more accurate, data-driven, and current proposals.

IKS Health modernized its healthcare delivery platform with Google Cloud, leveraging AI and DORA principles to improve operational efficiency, clinician satisfaction, and financial resilience for over 850 healthcare enterprises.,The IKS Care Enablement Platform combines intelligent automation, data intelligence, and human expertise to offload healthcare chores across clinical documentation, revenue cycle, care navigation, and operational intelligence.

World Surf League (WSL) built a first-of-its-kind data platform with AWS and generative AI to deliver near-real-time analytics for surfing competitions.,The platform combines real-time wearable telemetry from Apple Watches with wave data, weather conditions, judging data, and historical records so commentators can ask natural-language questions and get grounded answers within seconds.

OPLOG, a technology-driven fulfillment company, built a production-ready business intelligence system using AI agents deployed on Amazon Bedrock AgentCore.,The solution processes business transactions autonomously across sales pipeline management, data quality enforcement, and prospect research, integrating HubSpot, Microsoft Teams, Amazon S3, and Amazon Bedrock Knowledge Bases.

IBM faced major productivity drag across HR, procurement, IT, supply chain, sales, and tax because employees spent time searching for policies, navigating siloed systems, handling routine support, and manually aggregating data.,IBM set out to create an enterprise-wide productivity blueprint using AI, hybrid cloud, and automation, with domain assistants such as AskIT, AskHR, and AskSales deployed across workflows.

Worldbox is a Swiss business intelligence company with a database of more than 400 million businesses worldwide.,It partnered with AllCloud to design a secure, two-tiered data distribution model on AWS Marketplace that lets customers search, discover, and purchase data using agentic AI tools.,The solution adapts Worldbox’s existing API interface to agentic AI workflows through a Model Context Protocol (MCP) server.

FM Logistic, a global logistics provider operating warehouse operations in Poland, used Google Cloud's AlphaEvolve and Gemini models to improve traveling-salesman-style routing for ride-on electric trucks in a large fulfillment facility.,The team seeded AlphaEvolve with FM Logistic's existing routing algorithm and used Gemini to generate and refine code variants, then evaluated candidates with a custom scoring function over 60 representative tours to minimize average travel distance while penalizing operational failures such as capacity, order, FIFO, and computation-time violations.,The improved routing logic was deployed in production after the Poland pilot and is intended to support higher order volumes with the same team and equipment.

Totogi automates change request processing for telecom business support systems (BSS) with its BSS Magic platform.,The solution addresses the complexity of telco stacks that include hundreds of vendor applications and require costly customizations, lengthy testing, and specialized engineering expertise.,BSS Magic uses a telco ontology and a multi-agent framework to automate the full software development lifecycle for change requests, including business analysis, technical architecture generation, code generation, automated QA, and test suite generation.,Amazon Bedrock provides the foundation models, while AWS Step Functions and AWS Lambda coordinate state, orchestration, and workflow execution.

Thomson Reuters built an AI-powered platform engineering hub for internal operational workflows using Amazon Bedrock AgentCore.,The solution uses a modular orchestrator named Aether, specialized service agents, a custom agent registry, and a secure web portal so internal users can request infrastructure and operational actions through natural language.