AI Virtual Trial Rooms
Let customers see the fit before they pay for it.
Computer Vision−22%
Fit-related returns
+16%
Conversion on tried items
8–12 s
Capture to preview
0
Scans stored by default
What this system does
Fashion e-commerce lives and dies on fit. Returns eat margin, and shoppers abandon carts when they cannot picture themselves in the product. Our virtual trial room reconstructs a shopper's body mesh from a phone camera or kiosk sensor and simulates how a specific garment drapes on it.
The system handles size recommendation, fabric behaviour and layered outfits, and works equally well embedded in a storefront, a mobile app or an in-store mirror kiosk. Every session also produces sizing analytics your merchandising team can act on.
- Real-time body mesh
- Fabric drape simulation
- Web & in-store kiosk ready
Why teams call us
Return rates above 30%
Most apparel returns are fit-related and each one destroys the margin of the sale.
Low conversion on new styles
Shoppers hesitate on unfamiliar cuts they cannot visualise on their own body.
No sizing feedback loop
Brands rarely learn which SKUs run small or large until the reviews pile up.
Everything included in AI Virtual Trial Rooms
Body mesh reconstruction
Accurate 3D body estimation from a short phone capture — no depth hardware required.
Garment simulation
Physically based drape, stretch and layering per fabric type and size.
Size recommendation
Per-SKU fit prediction with confidence, trained on your own returns data.
Kiosk & mirror mode
In-store hardware build with gesture control and instant QR handoff to the shopper's phone.
Merchandising analytics
Which sizes are tried, skipped and converted, mapped back to your catalogue.
Privacy by design
Body scans processed transiently and never stored without explicit consent.
How a deployment runs
- 01
Capture
The shopper records a short guided capture on phone, web cam or kiosk sensor.
- 02
Reconstruct
A body mesh with measurement landmarks is generated in seconds.
- 03
Simulate
The chosen garment is draped on the mesh with fabric-accurate physics.
- 04
Recommend
Size guidance and fit notes are shown alongside an add-to-cart action.
- 05
Learn
Conversion and return outcomes feed back into the sizing model each cycle.
Technical detail
- Capture time
- 8–12 s
- Render
- Real-time WebGL
- Catalogue onboarding
- Photo or 3D asset pipeline
- Delivery
- Web SDK, app SDK, kiosk
Built with
Questions we get asked
How do we onboard our catalogue?+
We accept product photography or existing 3D assets and build the garment library for you, typically 200–400 SKUs in the first sprint.
Does it work on low-end phones?+
Yes. Heavy simulation runs server-side with a lightweight WebGL viewer on the device.
Is body data stored?+
No, not by default. Meshes are processed transiently and discarded unless the shopper opts into a saved profile.
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