Logistics & Supply Chain AI Deployments

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.

ZKH Group Limited is an MRO procurement platform that modernized legacy procurement workflows and expanded globally with Alibaba Cloud.,The company built its own industry model in 2024 using the open-source Qwen model on Alibaba Cloud and fine-tuned it with e-commerce data to create a specialized expert model for daily MRO scenarios.,ZKH deployed multiple AI agents to standardize materials, provide interactive services, compare supplier prices, and recommend products from natural-language requirements.,The broader platform architecture also included ECS GPU Instances, ACK, ASM, OSS, PolarDB, MaxCompute, and Cloud Enterprise Network to support AI, storage, data processing, and international connectivity.

Verizon Connect, a global fleet management solutions provider serving businesses worldwide through its Reveal platform, faced overwhelming telematics data volume that made it hard to identify emerging safety, maintenance, and operational inefficiency patterns from fragmented logs and spreadsheets.,The company built a two-stage agentic AI solution on AWS that first detects anomalies with serverless orchestration and then uses parallel AI agents to investigate those anomalies and generate natural-language operational insights inside the Reveal application for fleet managers.

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.

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.

Bosch Mobility Platform & Solutions, a division of Bosch, built the Logistics Operating System (L.OS) with AWS to digitize fragmented trucking and logistics workflows, enable automation across providers, and support sustainability goals.,The platform uses an AWS landing zone based on AWS Control Tower, integrated regionally, and the company also built RevX on AWS using Amazon API Gateway and Amazon ECS to unify load-board data for fleet dispatchers. A chatbot POC is planned using Amazon Bedrock and Amazon Q.

Unifi, North America’s largest provider of aviation ground handling services, needed to reduce the manual effort its legal team spent processing and reviewing collective bargaining agreements and other large contract documents.,The company had struggled to achieve consistent extraction and search quality with earlier AI approaches because the documents were long, unstructured, and filled with specialized legal and industry terminology.,Using Copilot Studio, Power Platform, SharePoint, Dataverse, Power Automate, AI Builder, and Power BI, Unifi built a low-code contract management solution that automatically extracts contract text, identifies key clauses, generates summaries, structures metadata, and makes the content searchable for legal teams.

Swoop Aero is an integrated drone logistics service operating in 14 countries, including Australia, the UK, Malawi, Mozambique, and the Democratic Republic of Congo.,The company needed scalable, reliable technology to support autonomous aircraft operations in remote areas with poor or no connectivity while maintaining situational awareness and safe landing reliability.

DoorDash, a local commerce platform, wanted to enhance self-service support for Dashers, Consumers, and Merchants by reducing live agent interactions and improving contact center user experience.,Collaborating with AWS Generative AI Innovation Center, DoorDash built a voice-operated generative AI self-service contact center solution using Amazon Bedrock foundation models (Anthropic Claude) and Amazon Connect Customer, implementing retrieval-augmented generation from public help center data for accurate response.,The AI-powered contact center handles hundreds of thousands of calls daily, reducing agent transfers by 49%, improving first contact resolution by 12%, and cutting development time by 50%.,The solution operates with response latency of 2.5 seconds or less, is fully rolled out to all Dashers, and achieves $3M annual operational cost savings with plans for expansion.

Vxceed Technologies NZ LTD, a SaaS provider for transportation and logistics, built LimoConnectQ to improve the transport booking experience for government customers in Australia and New Zealand.,The conversational application lets users create, edit, cancel, and query ground transport bookings through text or voice, while keeping booking conversations in a private, encrypted environment.

OPLOG is a technology-driven fulfillment company serving major brands and global marketplaces across fashion, cosmetics, and electronics in shared warehouses across multiple countries.,As its customer-agnostic operating model scaled, operational complexity increased and critical resource-allocation decisions that once took hours became obsolete before implementation.,The company wanted to move from reactive decision-making to near real-time orchestration while supporting production-grade AI agents that could make thousands of intelligent decisions each day.

Composabl Platform is an end-to-end industrial AI SaaS platform built to orchestrate, train, benchmark, and deploy multi-agent systems in real-world industrial environments.

Amazon Logistics is the last-mile delivery arm of Amazon, and its Sustainability Engineering team manages electric vehicle charging point deployment across the delivery station network.,The team built a serverless design review portal on AWS that uses Automated Reasoning checks in Amazon Bedrock Guardrails and Claude in Amazon Bedrock to extract information from heterogeneous proposals, convert technical specifications into verifiable policies, and validate engineering variables with transparent compliance explanations.

ASAPP built GenerativeAgent for airlines to automate complex customer service across voice and digital channels.,The platform uses Amazon Bedrock for model orchestration and Amazon Connect for voice initiation, with API integration to airline systems and human-in-the-loop routing.

TRLLN, a subsidiary of IFCO, turned supply chain expertise into a global Tracking-as-a-Service platform on Google Cloud.,It processes IoT signals from BLE Intelligent Nodes and Super Nodes to provide near-real-time asset tracking, geo-zones, alerts, and navigable maps across reusable assets in multiple industries.

IBS Software's cargo system processes thousands of bilingual cargo logistics email messages daily, extracting critical information such as air waybill numbers, flight details, weights, and delivery instructions in English and Japanese.,The team built a production-ready bilingual named entity recognition solution to identify 23 entity types across the two languages while keeping inference cost low and supporting real-time processing.

Singapore-based startup TetriXX helps customers save up to millions of dollars per year by eliminating logistics inefficiencies.,With Google Cloud, TetriXX provides an AI platform that turns raw data from transportation and logistics invoices into clear, actionable insights.,Using Vertex AI and the Agent Development Kit, TetriXX rapidly develops new AI features and agents, moving them from R&D to production with ease.,The platform also integrates data from external sources to fully inform agent outputs, ensuring they’re accurate, complete, and ready to drive smarter decision-making.,Internally, the organization uses Gemini 3 Pro, Gemini Gems, and NotebookLM to support competitor analysis, consistent responses across functions, and founder knowledge capture.

SaM Solutions developed AI agents using Microsoft Azure AI platform to enhance logistics and supply chain operations.,Implemented adaptive AI agents for warehouse robotics optimization, inventory demand management, delivery route optimization, and fleet predictive maintenance.,AI-powered customs and documentation processing improved compliance and reduced errors.

CrossTech, a UK transport network inspection company, built an automated AI infrastructure inspection platform called Hubble to analyze video data captured from trains and identify hazards such as overgrown vegetation, signal obstructions, level crossing sighting risks, and track ballast issues.,The company migrated to Google Cloud and built a containerized microservices architecture using Cloud Run and Compute Engine for near-real-time processing and autoscaling, with Vertex AI and Vertex AI Notebooks used to accelerate model development and prototyping.,The article also notes continued experimentation with Gemini Enterprise to automate tasks and streamline internal agentic workflows, and with Firebase Studio to simplify coding.

Azure AI Foundry provides an open, secure, and interoperable AI agent ecosystem designed to enhance automation and collaboration across organizational boundaries in complex logistics and enterprise technology processes.