This trucking company had a new quoting system in place, but lacked the real-time insights needed to act on the metrics that mattered most.

Bookings Growth
Every business challenge has a data layer beneath it. For Village Transport, a new quoting system wasn't the fix it looked like. Data was flowing through it every day; almost none of it was turning into something leadership could act on. The system wasn't broken. The data strategy underneath it didn't exist yet.
The work started where it always does: understanding how Village Transport's data was actually being used before building anything new. From there, we mapped what an ideal data strategy looked like for their specific sales motion. It wasn't a generic reporting template. It was one built around how their reps worked and what their managers needed to see. That structure came first: action-based views, per-rep reporting rolling up cleanly to managers, and a flagging system tuned to leadership's own criteria for a high-priority deal. Only once that foundation was in place did AI enter the picture: agentic models trained to surface high-probability deals and put the right opportunity in front of the right person at the right time. Because leadership and reps had agreed on what mattered before a single dashboard was built, adoption was immediate: the reporting became the team's source of truth from day one.
74% bookings growth in the year that followed is the headline number. But it didn't come from hiring more reps or changing the product. It came from giving the team Village Transport already had the right information at the right moment. Sales reps and managers aligned on the same priorities for the first time, and leadership moved from reacting to sales trends to acting on them.
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