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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

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.

Phased enterprise rollout

  1. Audit top PDPs by traffic — start with the 20% of SKUs that drive most views and cart hesitation.
  2. Define success metrics upfront — try-on rate, add-to-cart after try-on, and comparison vs control PDPs.
  3. Pilot one collection — 30-day A/B on a single line before enabling adjacent categories.
  4. Align quota to traffic — use the usage calculator to pick Free, Growth, or Scale before launch.
  5. Contact Style Lab for onboardingreach 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.