AI virtual try-on and virtual fitting roomLet shoppers see it on before they buy.

What is a virtual fitting room?

A virtual fitting room lets shoppers see a clothing item on themselves before they buy. They tap “Try it on” on the product page, their phone or laptop camera opens, and the item they chose appears on them in their live video. When they turn, raise an arm or walk, the item moves with them.

The biggest gap in online fashion is not being able to see an item on yourself. Model photos show how it looks on someone else; the question in the shopper’s mind is “will it suit me?”. Virtual try-on answers that on screen, before the basket.

How does it work?

This isn’t a filter stuck on top of the image. A real-time video AI model regenerates every camera frame with the garment on. Because it takes light, pose and body shape into account, drape, creases and shadows look natural.

• A product photo is enough: no 3D model per item. An existing product photo of at least 512×512 pixels on a plain background is used.
• About 1.5 seconds: the first frame arrives about 1.5 seconds after choosing an item, and the stream carries on.
• No download: it runs in the browser, and can be added natively to your iOS and Android apps.

How it differs from AR filters and 3D models

Classic augmented reality (AR) places a 3D model of the product over the camera feed. That works for rigid items like shoes and glasses, but in clothing it has two problems: every item needs its own 3D model, and the drape on the body often looks artificial. AI-based try-on works from an ordinary product photo and redraws every frame, so the result looks closer to a photo or video.

Where it’s used

• Online store: one button on the product page. One click on Shopify; a single line of code on WooCommerce, other platforms and custom sites.
• Mobile app: try-on connected to favourites, the basket and campaigns.
• Smart mirror in store: a vertical screen with a camera lets shoppers see items from the rail on themselves without the fitting room. It draws attention in windows and malls.
• Product videos without a shoot: one model video plus product photos becomes a dressed video for every item, so a new season doesn’t wait for a shoot day.
• Ads, social media and events: visitors from ads land straight on the try-on screen; big-screen try-on stands work well at fairs and launches.

Impact on sales

Virtual try-on aims to reduce hesitation and keep visitors browsing longer and further. According to the technology provider’s own measurements across real storefronts, 11.3% of shoppers who tried a garment on clicked add-to-cart or buy-now in the same window; 3 in 4 went past the first item they came for, viewing 8.7 items per visit on average. These figures are not independently verified, and results vary by product, category and traffic.

Seeing how an item looks on beforehand also aims to cut “not what I expected” returns. Virtual try-on doesn’t recommend sizes; if needed, it can be paired with a size chart or a separate size tool.

Privacy

The camera opens only after the shopper reads the notice and agrees, and they can close it at any time. Privacy notices, consent and any cross-border transfer texts are prepared with the brand’s legal adviser, and how video is processed and retained is agreed before launch. Reports contain no personal footage, only aggregate data such as try-on and basket counts.

What Dessoci does

In a discovery call we try a few items from your catalogue live and choose the right channels together. We then prepare your product images, design the button and try-on screen for your brand and set it up on your site, your app or a mirror in your store. After launch we report try-ons, add-to-baskets and the most-tried items, and use that data in your ads and social campaigns.