Client work

Circuit-Aware Load Matching for a Freight Brokerage

We helped a freight brokerage plan around whole driver circuits instead of single loads, cutting empty miles and turning a pool of independent drivers into a fleet it can plan around.

The client

A mid-market freight brokerage that matches shippers' loads with independent drivers and takes a margin in between. Its platform handles thousands of loads a week across the continental US, and like every brokerage its size, it lives and dies on covering loads quickly while keeping margins healthy, with shippers pressing on price and drivers pressing on rate per mile.

What everyone else tried

The AI pitches the brokerage had already heard were all about optimizing the match: better pairing algorithms, predictive pricing, demand forecasting, and automated carrier vetting. All of it was useful, and all of it was the same thing every other brokerage was buying from the same handful of vendors.

What we found

The brokerage optimized each load on its own, but a driver's real problem is the round trip. After delivering a load from Bozeman to Austin, the driver is in Austin with an empty truck, hoping something useful is posted heading home. If nothing is, they wait unpaid or drive home empty. Empty miles matter more to a driver than rate per mile, and the brokerage could see thousands of loads, lanes, and drivers at once, so it already had the data to think in circuits rather than transactions.

What we built

The first phase was circuit-aware matching. Instead of pairing a load with the nearest available driver, the system matches loads to each driver's trajectory and chains them into multi-leg circuits with as few empty miles as possible. That changes the pricing conversation, because the brokerage can offer a slightly lower rate on one leg alongside a next leg that brings the driver closer to home. The driver's paid miles for the week go up, and the shipper pays less. Sometimes the system splits a load between two drivers so that both of their circuits work.

The second phase turned the brokerage into a virtual carrier. Tracking trajectories builds a picture of each independent driver's patterns: the regions they run, the loads they prefer, and the days they take off. With that, the brokerage can commit to contract freight knowing which drivers reliably cover which lanes, offer loads to drivers before they ever reach the load board, and negotiate shipper contracts with the reliability of an asset-based carrier.

Why it works

The brokerage now competes like a carrier without owning a truck, employing a driver, or carrying the capital and insurance costs of a fleet. And a driver who keeps getting profitable loads before they go looking has little reason to check a competing board.

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