Months of Dealer Research, Done Automatically

The Challenge

An automotive platform wanted two things: a list of European car dealers its sales team could approach, and a large set of real market prices to build its own pricing model. The information was out there, spread across more than 1,500 dealer websites, and no two of them looked the same. Collecting it by hand would have taken months, and by the time the list was finished, much of it would already have been out of date.

The Approach

We built a system in which AI does the reading. For every dealer website it works out where the contact details, the stock and the prices are, and collects them, without anyone writing instructions for 1,500 different sites. Everything it finds is checked, cleaned up and merged into one database, so a dealer that shows up twice is listed once. The whole run needed barely any manual work.

The Outcome

More than 1,500 dealer websites turned into 1,100+ qualified leads with clean contact details, ready for the sales team, plus 50,000+ prices to build the pricing model on. Research that would have kept a team busy for months was done in a fraction of the time, and the data came out more consistent than manual collection ever gets.

Tech Stack

What's Next

Next, the system will cover more of the existing markets and new types of dealers, and follow prices continuously, so the platform can spot market trends early and respond to what competitors do.