Features
The AI virtual try-on features inside Kannaadi.Ai, one by one: try-on on the shopper, AI Looks, upload and scan, the kiosk, lucky draw, jewellery and eyewear try-on. Ten capabilities, each described below with what it does and where it helps.
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The core experience
The core feature: AI places the chosen garment on the shopper, so they judge colour, silhouette and style on themselves rather than on a model. The other features build on this base.
From one piece to a look
The AI outfit generator behind AI Looks suggests how pieces come together around a garment the shopper has chosen. One try-on becomes several outfit ideas, which gives shoppers a reason to keep exploring your collection.
Bring your own piece
Customers upload a photo of a dress they already have in mind and see it on themselves. For stores, it is a starting point to match the reference or recommend similar styles from the range.
Scanning…From rail to screen
Where upload starts from a photo, scanning starts from the garment itself: in store, a shopper scans a piece from the rail and brings it straight into the try-on, with no catalogue search needed.
A fitting room you can walk up to
A standing screen that works as a walk-up virtual try-on kiosk: shoppers step up, see themselves in a piece and explore looks at their own pace. Built for stores, malls and events where the experience itself helps draw people in.
Illustrative — rewards are set per campaign.
A reason to take part
A reward step after the try-on, built for campaigns, events and in-store promotions. Rewards are set per campaign, and the draw makes taking part feel like a game rather than a form.
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Pieces worn, not displayed
Necklaces, earrings and statement pieces appear on the customer so they can judge scale and style, before staff bring specific pieces out of the vault. Jewellery virtual try-on can sit at the counter, on a kiosk or online.
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Frames on your own face
Eyewear virtual try-on lets shoppers compare frames on their own face — shape, size, colour — before an optician fitting, so fitting time goes to frames they already like.
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Responsive, not rendered later
The fitting responds as the shopper moves and switches pieces, so it behaves like a mirror rather than a loading screen. It is what makes the rest of the virtual fitting room feel immediate.
Beyond the try-on
Share-ready looks, rewards and prompts that keep a shopper engaged after the try-on, shaped around the campaign or store you run. They sit around the try-on rather than replacing it.
How it works
The shopper-side flow in plain terms. How your own range is set up, and which channels it runs on, is agreed in a demo. Browse by business type or book a demo.
The shopper picks a piece from your range — or scans a garment in store, or uploads a photo of a dress they have in mind.
The piece is shown on the shopper rather than on a model, and they can switch colours and looks to compare.
AI Looks suggests how pieces come together, and campaigns can end with a share-ready look or a lucky draw.
FAQ
It places the chosen piece on the shopper so they can compare colour, shape and style. It is meant as a visual guide for choosing, so measurements, fittings and the final decision stay with your team. How closely a preview reflects a real piece from your range is something we cover in a demo.
AI Virtual Try-On and AI Looks are designed for web, kiosk and in-store screens. Scanning a dress suits the shop floor, and the kiosk experience suits stores, malls and exhibitions. Lucky Draw is built for campaigns, events and in-store promotions.
No. We show the features that fit your range and channels and leave out the ones that do not, and we can start with a focused set of pieces. Which to launch with is agreed in a demo.
The kiosk is a standing screen that shoppers walk up to in a store, mall or exhibition, with a self-guided flow that can be branded to your store or campaign. Online try-on runs on your website or product pages. Both show the piece on the shopper, and scanning a garment from the rail is an in-store flow. Whether to use one or both is agreed in a demo.
The AI outfit generator behind AI Looks suggests how pieces come together around a garment the shopper has chosen, so one try-on can lead to several outfit ideas and a reason to keep exploring your range. Which pieces and combinations it can suggest from your range is agreed in a demo.
Book a demo
Tell us what you sell and where. We will show the features that fit — and leave out the ones that do not.
