C.H. Robinson CFO reveals how artificial intelligence drives transformative business outcomes

Damon Lee, CFO of C.H. Robinson, the leading third-party logistics company, has shared revealing details about how the organization is leveraging artificial intelligence to achieve unprecedented operational results. His perspective offers a notable contrast to the industry-wide adoption of AI, where many companies have yet to translate technology investments into tangible productivity gains.

Investors have responded positively to these initiatives. C.H. Robinson’s stock rose 55.3% during 2025, an exceptional performance within the logistics sector that year. Analysts largely attribute this growth to the development and deployment of innovative AI solutions. Although some skepticism remains, with 6.47% of shares shorted as of December 15, the overall market sentiment suggests that investors see C.H. Robinson as an operational company effectively utilizing AI at the application level—a relatively rare achievement in today’s business ecosystem.

The Differentiating Strategy: 450 Engineers Focused on Proprietary Solutions

Instead of relying on generic, ready-made AI products, CFO Lee points out that such approaches typically increase costs without delivering substantial productivity improvements, especially given the high expense of usage-based models. To overcome these limitations, C.H. Robinson has assembled a dedicated team of 450 engineers focused on developing custom, proprietary AI applications.

This approach has resulted in the deployment of 30 different AI agent tools, each calibrated to deliver measurable and specific business outcomes. The CFO’s decision to invest in internal technical capabilities sharply contrasts with the trend observed at the April annual meeting of the Transportation Intermediaries Association, where many organizations showcased AI solutions mainly aimed at automating basic processes like invoice processing or converting calls into structured data.

Operational Transformation in the Land Brokerage Business

One of the most impactful applications developed under the CFO’s strategic direction operates within the North American Surface Transport (NAST) division, responsible for core land brokerage operations. The division receives approximately 600,000 rate quote requests annually. Before implementing this AI-driven solution, C.H. Robinson could handle between 60% and 65% of these inquiries, leaving a significant portion unresponded to or processed too slowly to meet customer expectations.

With the integration of a specialized AI agent, the company now responds to every request without exception. Response times have dramatically decreased from 17-20 minutes to just 32 seconds. Beyond speed, pricing accuracy has improved significantly. While a human analyst typically relies on five to ten data points to generate a quote, the AI system processes tens of thousands, even hundreds of thousands of data points, resulting in prices that are much more accurate and competitive.

Gross Margin Arbitrage: Real-Time Optimization

The CFO also highlighted a second tool focused on revenue management optimization, which Lee describes as “gross margin arbitrage”—a concept previously unattainable in the industry. Historically, pricing strategies operated under relatively rudimentary approaches: setting a margin or volume target and evaluating results at the end of a month or quarter. Mid-cycle adjustments were difficult and rare.

The implementation of AI-powered pricing systems has revolutionized this cycle. Strategies can now be tested, evaluated, and refined in real time. A pricing strategy set on Monday morning can be analyzed and adjusted within minutes, eliminating the weeks or months of delay. This enables hundreds of strategic calibrations daily. The system constantly monitors market data, allowing the organization to optimize both prices and costs in response to instant changes in demand or supply. If freight volume is high, the system prioritizes margin expansion; if supply is limited, it can adopt a more aggressive pricing stance.

Financial Results and Market Perception

Although C.H. Robinson does not publicly disclose specific gross margin figures, its adjusted gross profit appears in quarterly earnings reports. For the quarter ending September 30, the adjusted gross profit in the truckload brokerage segment declined 2% year-over-year—a relatively moderate drop considering the significant pressure faced by the freight market in 2025. In contrast, less-than-truckload (LTL) operations saw a 10.5% increase in adjusted gross profit, with year-to-date results showing a slight contraction in full truckload services offset by a 6.7% growth in LTL operations.

The CFO acknowledges that the market still questions whether the stock’s rise reflects strong traditional brokerage performance or appreciation for AI initiatives. Lee suggests that while brokerage remains a key driver, some investors believe C.H. Robinson is particularly well-positioned to capitalize on AI within its specific sector. In a landscape where many AI value chain companies—such as chip manufacturers and data center operators—are classified as pure tech investments, discovering operational companies effectively implementing AI solutions at the application level remains exceptional. C.H. Robinson stands out as a clear leader in this category, according to the CFO’s perspective.