PAVA Logistics Scaled to 200 Trucks Without Losing Control of Its Margins
Pavlo Vayda built PAVA Logistics the way most carriers say they want to build a trucking company but rarely do; slowly, with cash, and with a close eye on cost per mile. Founded in 2011 with a single truck, PAVA grew to 200 trucks and 220 trailers by maintaining truck debt below 60 percent of total value, paying most trailers in cash, and keeping the fleet modern: trucks from 2023 or newer, trailers no older than 2022. The company adds 30 to 40 trucks per year. It does not chase the highest-paying load. It watches margin.
The problem, as the fleet scaled, was that the data PAVA needed to run that way was scattered across systems. The previous TMS could not keep pace with the operation. Cost and performance reports were assembled manually. Dispatch, driver, and financial data lived in separate places. The discipline was there. The visibility wasn’t.
PAVA migrated fully to Datatruck in two months.
“In this business, you don’t win by chasing the highest-paying load; you win by controlling cost per mile and knowing exactly where every dollar is going,” said Vayda. “Our old system kept that information scattered. Datatruck gave us one place to see profit, revenue, and driver performance per truck, which is the data we actually run the company on.”
After implementation, the operations team could navigate between dispatch, driver, and financial data without switching systems. Driver and dispatcher performance became trackable in real time. Wage and equipment comparisons that previously required manual reconciliation now surface instantly. Because Datatruck mirrored PAVA‘s existing workflow, training time was low and disruption during cutover was minimal.
For a carrier running a distributed operations model with a workforce sized precisely to the fleet, not to the market, that last point matters. Adding reporting headcount to chase down anomalies isn’t in PAVA‘s model. The TMS has to do that work. With cost per mile now tracked in real time across all 200 trucks, the operations team spends its time on margin discipline and equipment decisions rather than spreadsheets.
“PAVA is exactly the kind of company we built Datatruck for,” said Shah Rahmanov, CEO and co-founder of Datatruck. “Pavlo and his team run on cost-per-mile discipline, and they needed a platform that could surface profit and performance per truck without a finance team chasing spreadsheets.”
PAVA continues to grow on the platform, adding trucks at its established pace with full visibility into what each one costs and what each one earns.
