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01 · Use cases— The evidence

C.H. Robinson

5 documented AI deployments at C.H. Robinson, across 2 industries. Each one links to the public source it was taken from.

Eden Prairie, United States · Founded 1905 · chrobinson.com · WikipediaSource: Wikidata, 2026-11-01

5
deployments
on record
2
industries
Logistics
20%
use AI agents
1 of these
21 Apr 2025
latest source date
1 report a measured outcome
§ 1

Public AI record

C.H. Robinson has a public AI record score of 47, where 50 is typical for companies on the hub. It is ahead of 82% of companies on depth, but behind most on evidence. Automotive operations automation is common among peers but not yet documented at C.H. Robinson.

Medium confidenceBased on 5 public cases · updated 10 Nov 2026
47
Record score
Out of 100; 50 is typical on the hub
  1. BreadthHow many different kinds of use case, across how many business areas
    72
  2. DepthShare running in production or at scale rather than pilots
    82
  3. SophisticationAgentic share and innovativeness rating
    43
  4. EvidenceShare backed by the company's own sources and measured results
    15
  5. MomentumHow recent the cases are; older cases count less
    24
How the score works
Each bar is a percentile against every company page on the hub: 70 means a stronger record than 70% of them. The score is the average of the five. It measures the public record we can document, not the quality of the company's AI.

First documented case Nov 2022, latest Apr 2025. No new deployment documented since Apr 2025. Cloud providers named: Microsoft.

§ 2

Compared with peers

Against 7 other logistics companies on the hub.

What peers document

  1. Supply chain optimization3 of 7 peers · here too
    43%
  2. Workflow automation3 of 7 peers · here too
    43%
  3. 29%
  4. Supply chain forecasting2 of 7 peers · here too
    29%
4 of 6 patterns

Gaps against the industry

Stack and approach vs peers
  • Peer cases name Microsoft 80%, AWS 16%.
  • AI agents: 20% of C.H. Robinson's cases vs 20% for peers.
  • Cases from the last 12 months: 0% vs 7% for peers.
§ 3

Deployments

5 deployments at C.H. Robinson, newest first.

  • 21 Apr 2025
    Retail

    Microsoft Azure Vision Studio Innovates Retail and Logistics with Advanced AI Automation

    C.H. Robinson · Computer vision checkout · Microsoft

    Microsoft Azure Vision Studio is a no-code platform enabling real-time visual inspections, inventory tracking, quality control automation, and enhanced supply chain visibility in retail and logistics. The platform integrates Azure's robust Computer Vision APIs including object detection, optical character recognition (OCR), spatial and facial analysis. Microsoft Azure Vision Studio improves processes such as automated shelf audits, cashierless checkout systems, package scouting, damage detection, vehicle recognition, and shipment tracking. The solution integrates with other Microsoft services like Power BI, Dynamics 365, and Azure IoT to provide business intelligence and operational improvements.

    Production

    −≤20%
    cost
  • 26 Nov 2024
    Logistics

    C.H. Robinson and Microsoft optimize global supply chains with generative AI

    C.H. Robinson · Supply chain optimization · Microsoft

    C.H. Robinson, a global logistics company, collaborated with Microsoft to develop generative AI tools embedded in TMC's Navisphere transportation management system. The joint solution automates and optimizes global supply chain and logistics processes, including document handling, exception management, and provides real-time insights across multiple transport modes and regions.

    Production

  • 19 Nov 2024
    Logistics

    C.H. Robinson automates global logistics workflows

    C.H. Robinson · Workflow automation · Microsoft

    C.H. Robinson, a global logistics company, faced decades-old barriers in automating email transaction processing in its supply chain operations. By adopting Azure AI Foundry and Azure OpenAI Service, the company integrated generative AI to streamline complex logistic processes and improve workforce productivity. The technology enabled the automation of email correspondence, which previously required significant manual effort. The solution prioritized compliance, privacy, and integration with existing systems, creating a secure, enterprise-ready deployment. As a result, C.H. Robinson achieved approximately a 15% productivity increase and enhanced customer satisfaction for a wide-ranging client base. The approach demonstrated scalable AI-powered automation for logistics operations of all sizes, from small shippers to global enterprises. Executive testimonials attest to the tangible business and operational gains since implementing the Microsoft-based solution.

    AgenticProduction

  • 14 Nov 2022
    Logistics

    Supply Chain Leaders Improve Logistics Agility and Automation

    C.H. Robinson · Supply chain forecasting · Microsoft

    The Microsoft Supply Chain Platform offers an open, composable solution that enables organizations to harmonize disparate supply chain data and unlock new insights. By integrating Azure, Dynamics 365, Microsoft Teams, Power Platform, Dataverse, and Supply Chain Center, customers gain enhanced supply chain visibility and real-time collaboration. The platform supports native integration with existing ERP and legacy solutions, with automation capabilities for order fulfillment, predictive analytics for supply constraints, and AI-powered workflows. Early adopters such as C.H. Robinson, FedEx, FourKites, and Overhaul are leveraging these capabilities. Global consulting partners like Accenture, Avanade, EY, KPMG, PwC, and TCS facilitate implementations and domain expertise. The system's modularity enables organizations to extend ecosystem solutions, anticipate disruptions, and reduce manual effort, driving both agility and sustainability.

    Production

  • Logistics

    C.H. Robinson achieves real-time shipment visibility with IoT integration

    C.H. Robinson · Microsoft

    C.H. Robinson, the world's largest third-party logistics provider, collaborated with Intel to deploy the Intel Connected Logistics Platform (CLP), integrating Microsoft Azure IoT Central to achieve near real-time tracking and monitoring of shipment location, condition, and security. Battery-operated smart wireless sensors were used to collect data throughout the shipping process, delivering centralized insights for improved inventory control. The IoT solution provided end-to-end supply chain visibility, enabling data-driven decisions and efficiency improvements. The implementation targeted previously existing gaps in transparency and reliability across shipping operations, directly addressing inventory mismanagement and security concerns. Azure IoT Central served as the command and visualization layer, aggregating sensor data for actionable intelligence. The initiative demonstrates how advancing IoT and cloud technologies can transform global logistics, improving both cost management and operational agility.

    Production

§ 4

What it builds

Computer vision checkout is the most common pattern in these deployments: 1.

§ 5

Cloud providers named

Microsoft is named in 5 of these deployments.

  1. Microsoft100% of these
    5
§ 6

Industries

C.H. Robinson deployments span 2 industries.

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