Morgan Stanley Technology, Media & Telecom Conference 2026
Logotype for C. H. Robinson Worldwide Inc

C. H. Robinson (CHRW) Morgan Stanley Technology, Media & Telecom Conference 2026 summary

Event summary combining transcript, slides, and related documents.

Logotype for C. H. Robinson Worldwide Inc

Morgan Stanley Technology, Media & Telecom Conference 2026 summary

8 May, 2026

Business overview and strategy

  • Operates as a major logistics platform, connecting shippers and carriers in a complex, fragmented market, handling 37 million shipments annually with 75,000 customers and 450,000 carrier relationships.

  • Focuses on simplifying logistics complexity through technology, a lean operating model, and experienced logisticians, branding their approach as Lean AI.

  • Positions itself as both a disruptor and a scalable solutions provider, aiming to decouple volume growth from incremental costs, similar to an Amazon-like model.

Technology and AI integration

  • Combines lean operating principles with advanced AI, including generative and agentic AI, to create a competitive moat that is difficult to replicate.

  • Achieved 40% enterprise-wide productivity gains since the end of 2022, with AI driving both efficiency and new revenue opportunities.

  • AI investments are tightly aligned with strategic and financial goals, focusing on operating leverage and gross margin improvement through price and cost discovery.

  • Flexible architecture allows use of any LLM, optimizing for price-performance and switching models as needed to control costs.

  • Token usage increased 85x over the past year while costs rose only 1.5x, demonstrating significant efficiency gains.

Competitive advantages and moats

  • Largest and most granular industry data set, combined with proprietary context from SOPs and human expertise, forms a strong competitive moat.

  • Internal technology building enables rapid innovation and micro-experimentation, making replication by competitors costly and slow.

  • Lean AI approach ensures every AI investment is rigorously evaluated for cost-benefit and workflow optimization, not just task automation.

  • Automation focuses on end-to-end workflows, such as the order-to-cash process, driving measurable productivity and margin improvements.

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