
Genlook Virtual Try-on
AI virtual try-ons for online fashion stores
Details
- Follow on
- @Genlook_appLinkedIn
- Categories
- AIProduct MarketingE-Commerce
- Target Audience
- E-Commerce StoresDTC Brands
- Pricing
- Freemium
- Platforms
- Web
- Featured in
- Best Tools for DTC Brands
Discovery signals
How AI and people discover Genlook Virtual Try-on on PeerPush
About Genlook Virtual Try-on
Online fashion has a fitting problem: shoppers cannot tell how a garment will look on them, so they hesitate, order several sizes, or return half their cart. Genlook fixes this with an AI fitting room. On any product page the shopper taps a try on button, uploads one photo, and in about nine seconds sees a realistic render of themselves wearing that exact item. The photo is reused across the whole catalog, turning browsing into a personal lookbook. For merchants it is a no code install on Shopify, WooCommerce and PrestaShop, and the widget matches the store theme and language automatically. Every try on is tracked through to add to cart and order so stores can measure revenue impact directly, and shopper emails can be captured with consent and synced to Klaviyo. Privacy is handled by default: photos are deleted after seven days and never used to train models. Brands report about 32 percent higher conversion after a try on and roughly 24 percent fewer returns. Developers can use the same engine through the Genlook try on API.
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Comments (1)
Hi PeerPush! I built Genlook so shoppers can see clothes on their own body before buying. One photo, nine seconds, works on Shopify, WooCommerce and PrestaShop. Happy to answer anything.