How Fynd AR VR Try-Ons helped Reliance Trends sell 50,000+ SKUs from a single store

One Store, Infinite Inventory: Fynd Horizon

The same Trends store, 25 times the SKUs, made-to-measure in 24 hours - built to sell a size and colour that was never on the shelf to begin with.

The Challenge

A physical store is capped by its own floor space. Reliance Trends today shows around 2,000 SKUs on the floor at any one location out of a catalogue that's far larger, and when a customer's size or colour isn't physically there, they walk out. Every garment on that floor also carries markdown risk - it sits unsold for roughly 45 days on average - and a meaningful share of what does sell online comes back because the fit was wrong, with returns running at 8.5% online.

The instinct in fast fashion has always been to hold more stock closer to the customer. Fynd Horizon starts from the opposite premise: stop guessing what a customer's exact size and preference will be, and instead let them scan, try on virtually, and buy, then manufacture that exact garment to order without ever holding it as inventory.

The Solution

Horizon turns a Reliance Trends store into a portal onto a much larger catalogue, without a single extra square foot of shelf. A body scan feeds a virtual try-on that shows a customer any of the brand's SKUs on their own body, a purchase kicks off manufacturing automatically, and the order routes either to a nearby dark store for a standard-fit item in half an hour, or to a partner factory for a made-to-measure garment cut and sewn in a day or two. It's already live: a first store went live at the end of March 2026, a Mumbai cluster followed a month later, and the Tirupur factory behind the made-to-order side has been running a 24-hour manufacturing cycle since late March.

25x the shelf, no extra stock

The same store now surfaces 50,000-plus SKUs pulled live from JCP's unified catalogue, instead of the roughly 2,000 that physically fit on the floor - a 25x jump in reach from the same footprint.

Made only what's sold

Made-to-order garments carry zero days of inventory holding, against roughly 45 days for stock sitting on a physical rack today - nothing gets made until it's sold.

Return-proof by design

A body scan accurate enough to eliminate most sizing-driven returns is targeting under 2%, against 8.5% for online orders today.

How it works

The customer journey runs in six steps - a one-time setup, then a loop that repeats on every visit:

1. One-time body scan: a selfie plus front and side photos captures shoulder width, chest, waist and inseam, reconstructed into a 3D body model.

2. Browse the full catalogue on an in-store screen or tablet - every SKU the brand carries, not just what's on this floor, filterable by occasion, colour, trend or price.

3. Try on any garment virtually, rendered on the customer's own body rather than a model, with a size recommendation pulled straight from their scan.

4. Buy with one tap - the purchase instantly kicks off manufacturing, with live status from "Order Placed" to "Cutting Fabric."

5. The garment gets made from raw fabric, not pulled off a shelf, cut and sewn to the customer's exact measurements.

6. It arrives - in half an hour from a local dark store for a standard size, or in a day or two from the partner factory for a made-to-measure piece.

Under the hood

Three platforms and a standardised hardware kit carry the whole experience:

Three-platform substrate

Fynd UNO supplies the catalogue that drives Browse, Ratl handles rendering quality assurance on every virtual try-on, and JCP routes every order to the right fulfilment path once a customer buys.

Body scan

Runs on depth-sensing cameras paired with a parametric body model that infers shape under clothing, validated at 98.3% accuracy in an internal study.

Virtual try-on

Renders in under two seconds through cloud-based generative rendering, with physics-accurate fabric drape and lighting rather than a static product photo.

In-store hardware kit

Ships as five standardised components - a life-size LED wall, a staff-and-customer tablet, dual depth cameras, a local compute box for offline fallback, and a capture camera - installable in a single working day per store.

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