New research guide: The Confidence Economy, how AI is changing fashion commerce.

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VIRTUAL TRY-ON

Not a model. Not a hanger.
Them. In the outfit. Before they buy.

Every other virtual try-on tool shows a single product on a shopper. Elara’s VTO shows the complete outfit — three or four pieces assembled for their specific occasion — on their body, before they buy. Returns fall because the decision was better, not because the product changed.

30-day free trial. No developer required. Live in under an hour.

Virtual Try-On
ON MODEL
ON YOU
OUTFIT APPLIED  •  TRUE TO SIZE

The margin story

A 5% return rate reduction is worth more than a 5% conversion lift.

Most fashion returns are styling-decision failures, not product failures. VTO resolves the decision before checkout.

Most fashion returns are styling-decision failures, not product failures. VTO resolves the decision before checkout.

25-40%

Average return rate for fashion ecommerce, most caused by styling decisions, not sizing

$10-45

Per-return processing cost before inventory depreciation on every item that comes back

How it works

Built into the decision, not bolted on after.

01

Elara builds the outfit first

Every try-on starts with an outfit that was built for this specific shopper, for their specific occasion, from your live catalog. The shopper isn’t trying on a random product they found browsing. They’re validating a styling decision that was already made for them. That sequence is why the return rate impact is real.

Try on this look →

02

The shopper uploads or uses an existing photo

On first use, the shopper uploads a photo or takes one in the chat. After the first session, the photo is stored to their Elara profile. Every return visit goes directly from outfit to try-on, no re-upload, no friction. The second try-on is faster than the first. Every try-on after that is instant.

Tap to upload

03

The outfit appears on them

Every piece in the outfit, assembled by Elara for this shopper’s occasion, appears on their photo. Not as individual products stacked side by side. As a complete look, on their proportions, in the context of how it will actually look worn. The gap between the product page image and the delivered garment closes before the order is placed.

Before

On them

04

Confident decision, fewer returns

The shopper who sees a complete, occasion-appropriate outfit on their own body before buying made a fundamentally different decision than one who bought from a product photo. The return doesn’t happen because the uncertainty that causes it was resolved before checkout.

Purchased · kept

Returns fall when shoppers see it on themselves first.

Most VTO tools show a product on a shopper.
Elara shows an outfit on a shopper.
The decision being validated was already a well-reasoned one.
That is why return rates fall.

Why this matters

20-30%

20-30%

Fewer returns, industry benchmark for VTO embedded in outfit-level buying decisions

20-30%

Fewer returns on VTO-assisted outfit purchases vs. standard PDP browsing

$10-45

Processing cost per returned item - before inventory depreciation

Every return VTO prevents is direct margin recovery

Frequently asked questions

Does virtual try-on work for all garment types?

VTO works best for tops, dresses, kurtas, skirts, and outerwear. It works with good accuracy for pants. Accessories are shown as positioned overlays rather than draped items.

Does it slow down my store?

No. The VTO module loads asynchronously and only when a shopper taps try on this look. It does not affect your Lighthouse score or page load time.

How is Elara's VTO different from a standalone VTO app?

A standalone VTO app shows a single product on a shopper. Elara's VTO shows a complete outfit, assembled by the AI for this specific shopper's occasion, aesthetic, and size, on that shopper's body. A shopper who sees an individually selected garment on themselves has validated that one piece. A shopper who sees a complete, occasion-appropriate outfit on themselves has validated a purchase decision. The second one is what reduces returns.

How accurate is the virtual try-on?

Accuracy depends on photo quality and garment type. Structured garments render most accurately. Loose or heavily draped fabrics have lower accuracy and Elara flags these automatically.

Is the shopper's photo stored securely?

Yes. Photos are stored with AES-256 encryption, tied to the shopper's session, and never shared with other brands. Shoppers can delete their stored photo at any time.

Can I see return rate data per product, not just per session type?

Yes. The Elara merchant dashboard shows per-SKU return rate attribution, which products are returned less often when they appear in Elara-assisted outfit decisions versus when purchased through standard browsing. This data is available in the analytics section.

Give shoppers the confidence to buy. Keep the returns down.

See Elara apply a complete outfit to a shopper photo — built for their occasion, on their body, before they decide.

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