Portfolio · AI commerce · DACH & UK
AI commerce, for the buyer a personal shopper would serve.
AI commerce won't start with the mass market. It starts with the sophisticated buyer, someone who cares what they buy, sits between mid- and high-end, and doesn't have a personal shopper. Sprezz is theirs, in the DACH region and the UK.
01 The bet
The mass market is not where AI commerce starts.
That buyer knows what they want and can afford it. What they do not have is the time, or a stylist on call. A narrower bet than "AI shopping for everyone", and an honest one to make before the product exists.
02 What it is
A wardrobe manager that happens to recommend.
A pure recommender never earns the depth that makes its suggestions worth having. The useful part comes first. What it learns about your taste falls out of that.
- Discover
- Ten a day Ten pieces a day, then the feed ends and says so. That limit is what makes each one look chosen.
- Search
- Ask, don't filter Filters are a database made visible. When someone arrives with an intention, they should be able to say it in a sentence and be answered.
- Profile
- Taste file What you own, what fits, what you keep coming back to. You can edit any of it, which is the only way it stays accurate.
- Range
- Curated, not catalogued A short list of labels. Breadth is what makes the other shopping apps feel like search engines.
03 What is not built
The app itself.
The model above is decided and the groundwork is running. The app is not in anyone's hands yet. No launch date, no download link and no numbers appear here until they are real.
04 Its role in the portfolio
The taste layer, turning reach and data into commerce.
Sprezz turns the reach we own and Hustly's conversion data into AI-native commerce. It is the newest of the three and the one that leans hardest on the other two.
Ten a day, then it stops.
That is deliberate. This page updates when the product does.