A stylist on every
product page.
Klooset is the AI stylist fashion retailers embed on their own product pages. It shows shoppers the piece on themselves, calls their size and suggests the colours and looks that suit them, so they buy with confidence and fewer parcels come back.
Online, the shopper is alone with a photo.
In a shop, someone tells you the cut runs small, that the colour suits you, that the boots work with the coat. Online, a shopper gets a product photo and a size chart, and has to guess.
So they hedge. They order two sizes or two colours and send one back. Size alone accounts for 42% of fashion returns, and colour for another 18% (EFRC, 2024).
Better photography does not close that gap. Answering the shopper's real questions, on the page where they decide, does.
−40%
Fewer returns
when shoppers try on before they buy
Snap Inc., 2023
+94%
Higher conversion
for shoppers who engage with virtual try-on
Vertebrae / Snap, 2023
3×
More likely to buy
vs. shoppers who only see static images
Google / Ipsos, 2024
The planet
24 Mt
of CO₂ a year from returns, in the US alone
Optoro, 2022
Buying online should feel like buying in store.
In a store, you try the piece on. You see it on your own body, in your own size, next to the rest of your outfit. You leave knowing. Online, you get a photo and a size chart.
That is why shoppers hedge: two sizes, two colours, one parcel back. It is not a logistics problem. It is an experience that was never brought online.
Klooset brings it over. The fitting room, the mirror, the right size, the colours that suit you, the pieces that work together, on the product page itself.
The in-store shopping experience, on your e-commerce site.
One assistant, the whole job of a stylist.
Klooset runs inside your product pages, cart and collections as one white-label widget. Today it does five things, with more on the way.
Product questions
Answers from your catalogue, in the shopper's words
Virtual try-on
The piece on the shopper's own photo
Smart sizing
The right size, from your own size guide
Colour profile
A palette that actually suits them
Outfit builder
A complete look, tried on at once
Visual searchSoon
Your catalogue, from any image
Smart recommendationsSoon
Sharper on every visit
No 3D assets, no ML team, no platform migration. A script tag or the Shopify app, and Klooset works from the catalogue and product photos you already have.
A few rules we do not bend.
Photos are not ours to keep
Shopper photos are never stored on our servers. They go to the AI provider only to generate the result, then they are dropped on our side. Our privacy policy names every provider involved and where it runs.
No invented numbers
Every figure on this site comes from published research, with its source. We have no customer data of our own yet, and we will not make any up.
Your brand, not ours
The widget is white-label by default: your colours, your button text, your domain. Shoppers see your store, not Klooset.
Judged on returns and revenue
We measure Klooset on return rate and on the revenue it drives, tracked in your console. A feature that does not move those numbers does not ship.
Fewer returns, fewer parcels on the road.
Every return is a second journey: a parcel collected, shipped back, sorted, repackaged, and sometimes thrown away. In the United States alone, returns generated about 24 million tonnes of CO₂ in 2022, and nearly 4.3 million tonnes of returned goods ended up in landfill (Optoro, 2022).
Shoppers who try a piece on before they buy send far fewer back: 40% fewer returns, according to Snap (2023). A size that fits the first time is a parcel that never makes the trip back. That is the footprint Klooset works on, and it is the same number your finance team watches.
We also give 1% of every payment Klooset receives to carbon removal, through Stripe Climate. Stripe passes 100% of it to projects that remove CO₂ from the atmosphere, selected with independent scientific reviewers. It is not an offset, and we do not claim to be carbon neutral: it is a contribution to help these technologies scale.
24 Mt
CO₂ from returns
in the United States in 2022, from transport and packaging
Optoro, 2022
1%
To carbon removal
of every payment Klooset receives, through Stripe Climate
Stripe Climate
It started in Boston.
Klooset started as a student project in Boston. Grégoire PETIT was working on one question: what would a retail experience look like if it were built AI-native from day one, instead of adding AI on top of what already exists?
The spark came from his girlfriend. She told him about a startup at Station F doing virtual try-on. He started from there and asked what a better version would be. A try-on is a fitting room. A real store is also someone who knows the stock and helps you with size, colour and the full outfit. Online, brands got the fitting room and nothing else.
Klooset is that missing store: one agent, present across the whole site, working from the retailer's own catalogue and bringing the in-store experience online. White-label, live in a day, and genuinely useful to the shopper.
Grégoire is building Klooset as a solo founder, from Lyon. The conviction behind it: the next leap in fashion e-commerce is not faster delivery or better photography. It is advice that actually knows who you are.
Want to see it on your own catalogue?
Thirty minutes, on your own products, with an ROI model built on your numbers.
Book a demo