The CFO's vision: how C.H. Robinson turns artificial intelligence into a competitive advantage

Damon Lee, Chief Financial Officer of C.H. Robinson, recently shared a revealing strategic perspective on how artificial intelligence is becoming the driving force behind business success in the logistics industry. His approach goes beyond general claims about efficiency, presenting tangible and measurable results that are redefining the sector. The company’s stock value —which increased by 55.3% during 2025— reflects how structured AI implementation is building investor confidence.

Competitive Edge: 30 In-House Developed AI Tools

C.H. Robinson is not just adopting generic AI solutions. With a portfolio of 30 custom-designed AI tools, the company is positioning itself as a clear leader in operational AI application within the logistics ecosystem. Achieving this level of sophistication required assembling a dedicated team of 450 engineers working exclusively on developing proprietary solutions. The CFO emphasizes that this personalized approach is precisely what sets C.H. Robinson apart from competitors relying on standard commercial solutions.

Radical Transformation in Quotation Processing

One of the most illustrative cases of this impact is in the North American Surface Transport (NAST) division, responsible for core ground brokerage operations. Historically, NAST received about 600,000 freight rate quote requests annually but could only respond to 60-65% of them. Responses took between 17 and 20 minutes per request, often insufficient to meet customer expectations.

Integrating an AI agent tool revolutionized this process. Now, the company responds to all requests in just 32 seconds. But the transformation goes beyond speed: while a human analyst bases quotes on approximately 5 to 10 data points, the AI system leverages tens of thousands, if not hundreds of thousands, of variables. This enables significantly more accurate and competitive pricing.

Gross Margin Arbitrage: Real-Time Optimization

The CFO also highlighted an innovation in revenue management called “gross margin arbitrage.” Traditionally, logistics companies adjusted their pricing strategies periodically —monthly or quarterly— evaluating whether they had met margin or volume targets. With C.H. Robinson’s proprietary AI tool, strategies can be tested, evaluated, and adjusted within minutes, not weeks.

This capability allows hundreds of micro-adjustments daily based on market conditions. If incoming load volume is high, the system prioritizes margin maximization. If volume drops, it can be more aggressive with pricing. The AI constantly analyzes market data, demand, and supply, responding instantly to changes. While all brokers aim to maintain this balance, C.H. Robinson’s speed and precision in adjustments create an operational advantage unprecedented in the sector.

Financial Results and Market Skepticism

In the quarter ending September 30, 2025, adjusted gross profit in truck brokerage declined by 2% year-over-year, a modest performance given the complex freight market situation. In contrast, Less Than Truckload (LTL) operations saw a 10.5% increase in adjusted gross profit, with annual totals showing a 6.7% growth in LTL.

Despite these achievements, some skepticism remains in financial markets. By the end of 2025, approximately 6.47% of the float had been sold short, a relatively high figure reflecting doubts about whether the stock’s rise is driven by traditional brokerage operations or AI initiatives. However, the CFO notes that some investors believe C.H. Robinson is particularly well-positioned to benefit from AI within its sector.

Leadership in Operational AI Adoption

Lee emphasizes a critical point: while many companies in the AI ecosystem —chip manufacturers, model providers, data center operators— are considered pure AI investments, it is notably rare to find operational companies successfully leveraging AI at the application level. C.H. Robinson stands out precisely as a leader in this regard.

This positioning stems from a clear understanding by the CFO of why many organizations have failed in AI implementation. Although numerous companies have showcased AI-driven solutions at industry conferences, they often rely on generic, ready-to-use products that increase costs without delivering significant productivity gains. C.H. Robinson’s strategy —developing customized solutions instead of relying on commercial tools— has proven to be the right approach to realize the true value of artificial intelligence in complex logistics operations.