See your own garments on a shopper, before they buy.
Virtual try-on trained on your catalogue rather than a stock one: sarees, formalwear, kidswear, on a kiosk on the shop floor or on the shopper’s own phone. Send us twenty products and we make those twenty try-on ready, so you can judge the thing on your own stock.
FUEiNT Technologies is a software studio in Coimbatore, India, building custom software since 2014. We build virtual try-on for textile retailers and apparel brands on an open-source stack, trained on your own garments, and the trained model belongs to you at handover.
Enough of your catalogue to see what it does to returns, without committing the rest of it first.
The model is trained on your own garments and your own photographs. Not sample data, and not somebody else’s stock.
PHP, Node, React, MySQL and MongoDB. No licence fees, and you keep the code and the trained model.
Nothing on this page asks you to register and nothing is charged before we have told you what it would be. The panel writes the brief; a person reads it and replies with a number.
Ask for the demo
Fill in a field above and the message appears here before you send it.Fill in shop or brand and the button turns on. Send this and we come back with what the first twenty products would cost to make try-on ready, and what we would need from you to do it. Photographs of the garments, mostly.
How it goes in
- Send the brief
The panel above writes it: the category, roughly how many products you carry, where it would run, and what you would judge it on.
- We pick the first twenty
Usually from whichever category comes back most, because that is where the effect shows soonest and where the argument is settled fastest.
- Twenty products, try-on ready
Trained on your photographs, on a screen designed for your brand and for the way people actually queue in your shop.
- Then the rest, if it worked
Eight to twelve weeks from those first twenty to a full catalogue. If it did not work on the twenty, you have spent a photograph shoot rather than a season.
The background, in plain words.
What the shopper actually does
They stand in front of a kiosk, or hold their own phone with an associate beside them, and see the garment on themselves. Or they upload a photograph of somebody else, which is how a gift gets chosen with the same confidence as a fitting room gives.
The result goes to WhatsApp in one tap, because that is how most of these decisions are genuinely made — sent to a sister or a mother, and waited on. Building the share in is not a flourish; leaving it out is what makes people put the phone down and walk.
On screen it can be in the language the shopper reads, and it can offer alternatives by colour, by fit or by price, so a hesitant customer is shown something they will actually buy rather than the same garment again.
Where the gain is
A shopper who cannot picture the garment on themselves does one of two things: they walk, or they order two sizes and send one back. Both are expensive, and only one of them shows up in your returns figure.
Seeing the actual garment on the actual person settles it in the shop. One size, one order, and it stays bought. That is the whole argument, and twenty products is enough to test whether it holds for your stock.
What it runs on, and who owns it
PHP, Node, React, MySQL and MongoDB — an open-source stack with no licence fees attached to it. Production is cloud-hosted; where a shop floor needs to see it running on its own hardware first, we deploy a proof of concept on-premise.
It can stand alone beside the till, with an associate locating the item the screen suggested, or it can be wired into your POS for stock lookup and checkout. Which of those is less trouble depends entirely on the POS you already have.
At handover you get the code, the documentation and the trained model. Nothing about it is rented back to you.
What the dashboard tells you afterwards
Which styles, colours and patterns are being tried on, which are being shared, and which are being bought — and how far apart those three lists are. The gap between what gets tried and what gets bought is usually the most useful thing on the screen.
That is an input to your next buying decision, from your own floor, rather than from a trend report written about somebody else’s.
Why this page is a request and not a live demo
A try-on you could run this second would have to put a stranger into a garment from a stock catalogue, which proves nothing about your stock, your photography or your fits. It would be a toy, and you would be right to distrust what it showed you.
So the demo is twenty of your own products. It takes a photograph set and one conversation to start, and it answers the only question worth asking: does this work on the things we actually sell?
Questions we are actually asked.
What do you need from us to start?
Photographs of twenty garments, at whatever quality you already shoot at, and somebody who can answer questions about how they fit. That is genuinely the list.
How long until we see the twenty?
It depends on how your garments are photographed and how quickly the answers come back, so we quote it after reading your brief rather than before. What is fixed is the step after: eight to twelve weeks from the first twenty to a full catalogue.
Kiosk, or the shopper’s own phone?
Both work, and the store layout usually decides. A standalone kiosk suits a high-traffic floor; a shopper on their own device with an associate alongside suits a smaller shop where a kiosk would be in the way.
Who owns the trained model?
You do. It is trained on your garments and it goes with the code at handover, along with the documentation. That is most of the reason we build these on an open-source stack.
What happens to the shopper’s photograph?
That is a decision you make and we implement: held for the session and discarded, or kept against a customer record if you want their try-on history. We will not make that choice for you, and whichever you pick has to be written into your privacy notice.
Does it have to touch our website?
No. It can run only in the store and never appear online. If you do want it before checkout on the website, it goes there too — but the two are separate decisions and neither one forces the other.
Is this only for sarees?
No. Sarees, formalwear, kurtas, kidswear and western wear have all been in scope. We suggest starting with whichever category comes back most, whatever that turns out to be.
Other things here that are free.
Send us twenty products and we will put them on people.
Twenty is enough to see the effect on returns without committing the catalogue. You keep the trained model either way.
Saravanampatti, Coimbatore, TN, India — 641035
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