The next twelve months will reward carriers who can price a lane in seconds and fill a backhaul before the truck is empty.
Shipper spending rose 28.1% year over year in the second quarter, according to the U.S. Bank Freight Payment Index. Over that same period national shipment volumes fell 1.1%, they are down 2.8% from a year ago, and ATA's tonnage index dipped another 1% in July.
We are hauling the same freight we hauled last year, only with fewer trucks to do it, and ATA Chief Economist Bob Costello put it plainly when he said the recovery is “nearly all due to excess capacity leaving the market.”
We are hauling the same freight we hauled last year, only with fewer trucks to do it.
The Southwest shows it most starkly, where Q2 shipments fell 20.2% while spending rose 39.9%, a spread created by enforcement actions and cross-border scrutiny rather than by demand, which is what a market looks like when trucks are being removed from it rather than freight added to it.
So when a carrier looks at improving rates and concludes it is time to add trucks, it is solving the wrong problem, because adding capacity into flat volume is how the last oversupply happened in the first place. The better question is what makes each truck already in the fleet worth more. We spent four years learning to survive on thin margins, and the tools that got us through are now the tools that grow the business, which for us means operating technology, and it breaks into three layers.
The first layer is the transportation management system, where the bar has moved considerably, because a modern cloud-native TMS now runs load planning, rating, dispatch, driver settlements, and accounting on a single subscription priced by active truck count. Native ELD integration pulls live location and hours-of-service straight into the dispatch view, and a connected driver app gets paperwork off the truck the same day, which means billing starts sooner. With diesel where it has been this year, days of working capital are not a rounding error.
The newer piece is AI applied to planning and order management. Grand Island Express, a Nebraska refrigerated carrier running roughly 169 tractors, credits AI-assisted dispatch with a 25% revenue increase on the same number of trucks. Their VP of operations makes a point worth repeating: the system picks the best driver for the load, and that is not always the same person a dispatcher would have chosen. One carrier's result is not an industry benchmark, but it is the exact shape of the return available in a capacity-constrained market, which is more revenue per asset with no new assets.
The second layer is knowing what a lane is actually worth, and it matters now because contract rates are expected to keep climbing into 2027 even if spot has peaked, which only helps the carriers who walk into a renewal with lane-level cost and rate data rather than a gut feel.
The market-data platforms have gotten substantially better at this, working from more than 700,000 daily load posts and a transaction database north of $1 trillion. Freight matching is also shifting from search to curation, surfacing the loads that fit a given truck and lane profile at sign-in, and showing available reloads near the delivery stop before the driver commits to the outbound. One executive framed the underlying problem well: “Finding the right load takes time, and for carriers, that time is unpaid.” With fewer trucks chasing the same freight, empty miles cost more than they did in 2023.
A truck that cannot be quoted by API is a truck that does not get the load.
The third layer is the one most asset carriers have not touched, and I would argue it is the most urgent, because quoting is moving to APIs faster than the equipment conversation suggests.
Rate management platforms now pull inbound quote requests out of email, shipper TMS platforms, and RPA workflows into a single system, applying pricing rules that can be adjusted in plain language rather than rebuilt by a developer. One brokerage that connected its quoting to a shipper TMS priced more than 90% of loads by API and doubled bookings in the first month.
Most published case studies are brokerages, which is fair, because this tooling reached brokers first, but the logic applies to any carrier selling spot capacity. When a primary carrier rejects a tender, that freight hits the market under time pressure, and it goes to whoever answers in seconds rather than whoever answers in an hour. The better platforms keep a human review layer, and one vendor CEO named the reason when he said that “automation only works if they can trust it.” Rules should price the routine load, and a person should still price the relationship.
Buying the three together matters, because shippers have changed how they buy. DAT's chief of analytics described procurement teams now putting “carrier viability on par with, or even above, savings.” After the Supreme Court's unanimous ruling in Montgomery v. Caribe Transport II, brokers spent the summer reassessing which small carriers they would hire at all.
Clean data, a documented safety record, digital visibility, and fast consistent quoting now function as qualification criteria, which is to say they are how a carrier proves it is a counterparty worth routing freight to. Gulf Relay held its standards through the downturn for the same reason we are spending on systems now, which is that the carriers who define the next cycle are chosen before the cycle turns.
The capacity correction did the hard part. What happens next is earned.
The capacity correction did the hard part for us, handing the current rate environment to the survivors rather than to anyone who earned it. What happens next is earned. Fleets that spend the last quarter of 2026 on operating technology will own 2027, and the ones that spend it on iron will be right back where this cycle started.
The trucks left the market on their own. The advantage will not.
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