#The Return Crisis in Fashion E-commerce
Fashion e-commerce has a return problem that quietly destroys margins. The industry average return rate sits at 30–35%, compared to under 10% for electronics or home goods. Each returned item costs a brand an average of $33 in logistics, processing, and restocking — before accounting for the items that can't be resold at full price.
The root cause is almost always the same: the customer couldn't tell how the garment would actually look on them. Product photography is shot on a single model at a single angle. Size guides are inconsistent across brands. And shoppers are left guessing.
This is the problem AI virtual try-on solves at the point of decision.
#How AI Virtual Try-On Works
Modern virtual try-on uses a combination of techniques:
- Pose estimation — Maps the customer's body landmarks from a single photo
- Garment parsing — Separates the clothing item from its background and understands its structure
- Image synthesis — Warps and drapes the garment onto the customer's body, accounting for body shape, lighting, and fabric physics
The result is a photorealistic composite image that's generated in under 2 seconds. No app download, no AR hardware — just a selfie upload and instant result.
TryyOnYou integrates this as a JavaScript snippet that drops into any product page.
#Before vs. After: Real Brand Results
The AOV increase happens because shoppers who try on are more confident — and more likely to add a second item to their cart.
#Why This Matters More Than Size Charts
Size guides and fit predictors help, but they address the wrong question. A shopper doesn't need to know their measurements — they need to know how this dress looks on them specifically.
Virtual try-on bypasses the translation step entirely. Instead of "I'm 5'6" and 145lbs, and the guide says size M" — they see themselves wearing the item.
This is why the return-rate impact is so much stronger than size guide optimisation alone.
#Integration Requirements
Getting TryyOnYou live takes a single afternoon:
- Snippet integration: One
<script>tag on your product pages - Image specs: Product images on white/light background, minimum 800×800px
- No backend changes: TryyOnYou handles all inference on our infrastructure
Shopify merchants can use our one-click app. WooCommerce, Magento, and custom storefronts use the JavaScript SDK.
#Frequently Asked Questions
Frequently Asked Questions
#Getting Started
If you're averaging more than 500 product page views per month, a 2–3% improvement in conversion rate will pay for TryyOnYou within the first billing cycle.
Start with a 14-day free trial — no credit card required, and our team will help you get your first product category live.