C.H. Robinson is launching its latest AI initiative this month: the Lean AI Engineer, a system designed to constantly review supply chains for inefficiencies and recommend fixes without waiting for problems to surface. The new tool follows the company's Lean AI Planner, which the country's biggest brokerage rolled out a year ago and has since grown to autonomously handle 92% of shipments for its 4PL customers in the Managed Solutions group. The Engineer represents what Jordan Kaas, president of C.H. Robinson's Managed Solutions, calls a shift from episodic supply chain audits to continuous process improvement that runs around the clock.
The Lean AI Engineer works differently from traditional supply chain reviews. According to Kaas, most audits are a "look back" at what worked and what failed, but the Engineer holds "historical data and current data at the same time, as well as the entirety of a network," something a human can't do. The system doesn't wait for alerts or problems to emerge—it continuously analyzes entire logistics networks and serves up solutions proactively. While the Engineer and Planner tools are launching in Managed Transportation, which Kaas described as "a logistics department in a box," the technologies will eventually roll out to other parts of the business, including the company's North American Surface Transportation group that handles traditional freight brokerage.
Kaas described the system as a "closed-loop AI system" that "will run continuously, improve the operation it's running and heal itself when something breaks—without an alert or a human noticing a problem first." He explained that "the Lean AI Planner executes in real time while the Lean AI Engineer studies the results, identifies patterns, adapts logic and influences future decisions." In the company's prepared statement, Kaas noted that while talent doesn't "scale," the Engineer gives "shippers infinite talent and expertise, consistently applied across every shipment, regardless of who's available in what time zone or how much their shipping volume grows or spikes."
The practical applications show how the system works in real scenarios. Kaas gave the example of an LTL customer shipping three less-than-truckload shipments Monday, Wednesday and Friday to the same destination—the Engineer can spot that pattern and suggest consolidating them into a single truckload shipment once a week. Or it might analyze a long haul truckload route and determine intermodal is a better option. These aren't hypothetical scenarios, Kaas said—"these are real world examples of what we see happening on the 4PL side." The innovation is that this analysis runs 24 hours a day, continuously looking forward at potential improvements rather than waiting for quarterly reviews or human planners to spot inefficiencies, giving C.H. Robinson's Managed Solutions customers what Kaas called "incredibly sticky" value that keeps them engaged with the platform.