Real-Time Insights Mean Better Decisions.

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.

74%

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 Challenge

  • No action-based views tied to how reps actually worked. Reports existed, but not ones built around what a rep needed to prioritize next.
  • No simple, trustworthy reporting. Leadership was reacting late to trends or debating whether the numbers were even right.
  • No way to flag high-priority opportunities before they went cold. Good data was sitting there unused, with nothing surfacing what mattered most.

How They Got There

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.

The Result

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.

  • 74% bookings growth in the year following implementation
  • 20% increase in average deal size over the following 12+ months
  • 16% increase in quote volume
  • AI-enabled deal prioritization supporting higher close rates

Backed by our Success Guarantee.

Clean reporting plus AI-enabled prioritization: that's data architecture and AI enablement, working together.

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