AI Virtual Try-On for Fashion Brands

The D2C conversion journey

Direct-to-consumer fashion wins on the strength of the product page. Try-on strengthens it at the exact moment of decision: the shopper sees your garment on themselves and keeps moving toward checkout instead of bouncing to compare.

Because the same photo works across your catalog, a single try-on session can cover a whole outfit or a full collection drop.

Catalog scale, without the asset pipeline

Traditional try-on needs a 3D model per SKU — a cost that caps most brands at a handful of hero products. Generative try-on needs none of that. Every product image in your Shopify catalog is immediately try-on ready.

New drops get the button automatically. There is no per-product setup, which is what makes full-catalog coverage practical.

Customer confidence as a brand asset

Confidence isn't just a conversion lever — it's a brand signal. Shoppers who can verify a fit before buying trust the store more, return less, and are more likely to describe the experience to others.

The white-label fitting room carries your logo and matches your storefront, so the experience reads as yours, not as a third-party plugin.

Integration options

• Install from the Shopify App Store — no engineering work required
• Enable per product, per collection, or across the full catalog
• Try-on events are tracked in the built-in analytics dashboard for follow-up
• Pro plans remove SnapIT branding entirely

פרטי כברירת מחדל

תמונות קונים משמשות רק ליצירת המדידה, לעולם לא לאימון מודלים של AI, ונמחקות אוטומטית לאחר 7 ימים. SnapIT מכבד את ה-webhooks לפרטיות החובה של Shopify, כך שאתם עומדים בדרישות כברירת מחדל.