Fura Freight's AI Agent Books 40% of Loads Today — 90% by Next Year

Fura Freight's AI booking agent, Donna, now handles more than 40% of the Cincinnati brokerage's load bookings, and CEO Jeff Dangelo expects that share to hit 90% by the end of next year. The number matters because it underpins the company's entire growth model: absorb acquisitions fast, compress selling, general and administrative costs, and keep scaling while freight margins tighten across the industry.

Donna is not a standalone chatbot. She is wired into Fura's pricing algorithm, its transportation management system, and Highway for carrier compliance. The agent makes and receives phone calls, negotiates rates, and completes bookings end to end, handing off only the final negotiation confirmation to a human team lead.

"Donna is doing all of that work from compliance to negotiating to booking," Dangelo said. "We do have her handing off the finished sort of negotiation to a team lead, but for the most part, I see this even by the end of the year getting closer and closer to 90%."

Why not 100% automation?

Full autonomy remains a longer-term goal, and the reason is structural. Every acquisition brings new lanes and carrier relationships that take time to fold into the system. Each deal Fura closes effectively resets part of Donna's learning curve, which is the price the company pays for growing through M&A.

How fast can a brokerage digest a deal?

Fura's answer: roughly two weeks. All integration planning happens before closing, and in-house AI tools begin processing data and carrier-side work immediately after the deal shuts. Dangelo contrasted that with large-scale M&A, where major acquirers can take up to two years to integrate a single transaction.

The math drives the strategy. By stacking 10 to 15 smaller deals instead of one large one, Fura can add $300 million in revenue while keeping every onboarding timeline under a year, according to Dangelo.

The company has already executed eight acquisitions. The latest — Road Dog Logistics of Cincinnati, its largest deal to date at just over $30 million in revenue — added shipper relationships and deepened Fura's food and beverage vertical. Fura plans between 6 and 12 acquisitions next year, targeting $1 billion in revenue within three years. That trajectory follows growth from a $10 million revenue run rate to more than $100 million in just two years, with half of that expansion organic.

The productivity numbers are equally stark. Fura currently generates $2.5 million in revenue per employee — roughly several times the throughput of a typical brokerage — and Dangelo said that figure will keep improving as AI drives down SG&A costs further.

What is happening to capacity and costs?

Dangelo cited market data showing dry van spot cost per mile up 31%, reefer up 32%, and flatbed up 28% — a tightening capacity picture heading into the holiday season. Fura is responding by expanding its carrier sales and carrier success teams over the next three to six months, while relying on Donna's reach to contact more carriers than a human team ever could.

For shippers, the implication is direct: a broker that automates negotiation and compliance can cover capacity searches at machine scale during a squeeze. For carriers, it means more of their rate conversations may soon happen with an agent rather than a person.

How is the Supreme Court reshaping the broker landscape?

The Montgomery ruling — a unanimous 9-0 Supreme Court decision that freight brokers can be sued under state law for hiring unsafe carriers — is accelerating Fura's acquisition pipeline. Small brokers facing surging insurance costs and new liability exposure are increasingly looking to exit, widening the pool of targets for well-capitalized buyers.

"It changed the math risk overnight," Dangelo said of the ruling. He added that margin compression from rising insurance costs is a key reason Fura has invested so heavily in AI — to push its own operating costs down before the insurance bill eats the margin for it.

The combination points one direction: a consolidating brokerage sector where AI-driven cost structures decide who survives. If Donna reaches 90% autonomous bookings on schedule, Fura will have turned that thesis into an operating model — and its 6-to-12-deal pipeline suggests the consolidation itself is only beginning.