Enterprise Virtual Try-On for High-Volume Stores
Scale try-on across a large catalog with dedicated onboarding, priority processing, and the Scale plan (4,000 try-ons/mo).
High-volume Shopify apparel stores face a different problem than indie labels: not whether try-on works, but how to roll it out across hundreds of SKUs without blowing the quota, slowing PDPs, or losing analytics in spreadsheets.
Stylab's Scale plan supports 4,000 successful try-ons per month with priority processing and dedicated onboarding. Per-product controls let merchandising teams enable try-on by collection, season, or SKU list. Store-wide analytics and A/B buckets help you justify expansion to leadership with data — not hype.
Enterprise fit signals
- 1,000+ apparel SKUs with meaningful PDP traffic
- Merchandising team that needs per-product toggles at catalog scale
- Leadership asking for measurable try-on ROI before budget approval
Capabilities
Scale without rebuilding your stack
Scale plan: 4,000 try-ons/mo
Predictable Shopify billing at high volume. Only successful generations count.
Dedicated onboarding
Phased rollout plan: which collections first, quota allocation, and success metrics.
Catalog-scale controls
Enable or disable try-on per product from admin — no theme deploy for each SKU.
Priority support & processing
Faster generation queue and direct support channel for high-traffic stores.
Rollout
Phased enterprise rollout
- Audit top PDPs by traffic — start with the 20% of SKUs that drive most views and cart hesitation.
- Define success metrics upfront — try-on rate, add-to-cart after try-on, and comparison vs control PDPs.
- Pilot one collection — 30-day A/B on a single line before enabling adjacent categories.
- Align quota to traffic — use the usage calculator to pick Free, Growth, or Scale before launch.
- Contact Style Lab for onboarding — reach out for Scale plan setup and rollout planning.
Add AI try-on to your Shopify product pages
Start with a few products, measure shopper engagement, and see whether try-on helps customers buy with more confidence.