case study

Listing generator

A parts marketplace where every listing took twenty minutes of typing.

auto-parts listing generator

year >

industry >

e-commerce

problem >

Every part had to be identified, matched to vehicles and written up by hand — fifteen to twenty minutes per listing.

Sellers photographed a part, then researched what it was, which makes and models it fits, and wrote the copy themselves. Listings went up slowly, half complete, and buyers could not find them.

what we did >

We built a generator that turns a photo of a part into a complete, publishable listing.

Vision models classify the part, the part number is read off the label, fitment comes from the vehicle catalogues, and the copy comes out ready for search. The seller reviews and publishes.

result >

Listing time dropped by two thirds, and the listings themselves perform better.

.

01

−65%

listing time

.

02

+19%

click-through rate

faq

Questions

A company is AI-native when AI is part of how the product works and how the work gets done — not a feature added at the end. It changes what you build and how your team operates. We work that way ourselves, which is why we can tell you what it costs.

If you already know what to build, start with software. If you do not, start with consulting. Most companies start with a two-week assessment and move straight into a build.

One call. We look at your business, product and operations, then send a short written plan with scope, timeline and price. No questionnaire, no discovery deck.

An assessment takes two weeks. A first system usually runs in production within four to eight weeks. Larger programmes run as a monthly engagement.

Companies with a real operational or product problem — funded startups through to established mid-size companies. We are based in Portugal and work remotely across Europe.

rúben martins, founder

everything you need to know before the call

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