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AI Product Analyzer

In production

Nobody wants to type a name, description and category for twenty things from a cupboard clearout. Point a camera at the item instead and all three appear.

~2 secphoto to finished listing

Where the sixteen seconds went

The first version took a median of over eighteen seconds per photo, which in practice means the seller puts the phone down and wanders off. Getting it to about two changed the behaviour entirely: people now photograph a whole pile of items in one go, because there is nothing to wait for.

Why the Finnish had to be real

Machine-translated product descriptions read as machine-translated and buyers notice. Getting natural Finnish out, rather than English labels stitched together or the item's own name repeated as its description, was most of the work.

An honest note on sovereignty

The model call runs on Vertex AI, physically in Google's Finland datacentre. The data stays on EU soil but the provider is American. That is a real exception to how we build everything else, and we would rather state it plainly than bury it.

What you get
  • About 2 seconds per photo, down from 18 before we optimised it
  • 19 out of 20 items land in the right category on their own
  • Real, natural Finnish, not English labels stitched together
  • Roughly $1 in model fees per 1,000 photos analysed
Portable to other resale platforms as a bespoke integration.