Case study — Heavy-truck dealers · Automotive & freight
One view of a fragmented used-truck market.
We built pricing and analytics software that brings listings from across online marketplaces into one place, so heavy-truck dealers can see where a truck should be priced before they buy it or list it.
- ENGAGEMENT
- Done for You
- DATA
- Listings from multiple online marketplaces
- BUILT FOR
- Non-technical dealer staff
- CAPABILITIES
- Predictive pricing and trend analysis
The challenge
Used heavy trucks sell across many online marketplaces, and no two are identical: make, model, year, mileage, spec and region all move the price. Dealers had no single view of the market, so pricing a truck meant searching listing sites by hand. Mistakes are expensive. Buy the wrong truck, or price it badly, and it sits on the lot.
What we did
- 01
Unify the market data
We sourced listings from a range of online marketplaces and normalized them into one dataset.
- 02
Make it filterable
Dealers narrow the market by region, make, model, mileage and more, down to the trucks that genuinely compare.
- 03
Add predictive pricing and analytics
Predictive pricing, trend analysis and availability views show what a truck is worth against the market, and which way that is moving.
- 04
Design for non-technical users
A simple interface lets dealer staff compare the whole market, or one slice of it, without an analyst.
The outcome