AI Beauty

Resources

How to choose a virtual try-on vendor for a mid-market beauty brand

Enterprise platforms vs widgets vs APIs: decision criteria for mid-market teams.

Mid-market beauty brands often sit between “install a plugin” and “enterprise AR suite.” This buyer’s guide lists decision criteria and points to public vendor materials. Facts below were checked on 2026-10-14; always re-verify pricing on the vendor’s site before a procurement decision.

Buyer personas

• Digital / ecommerce lead — PDP conversion and mobile UX;
• Brand / product — shade truthfulness and catalog control;
• Tech — integration path, privacy, maintenance;
• Finance / procurement — commercial model and exit terms.

Criteria matrix

• Makeup categories required in wave one;
• Photo and/or live camera;
• Brand-scoped catalog only vs open palette;
• White-label / on-domain experience;
• Shade match linked to try-on;
• Pilot with partial SKUs;
• Data processing location and DPA;
• Support timezone and language;
• Analytics events you can actually read.

Pricing model types (illustrative, cited)

Banuba (public materials, checked 2026-10-14): Banuba documents multiple commercial paths for TINT virtual try-on, including no-code Easy Virtual Try-On plans described from about $49–$349/month by volume, a Shopify app path described from about $319–$1,599/month, and custom integrations quoted on usage — see Banuba’s TINT pricing guide. Separately, Banuba Face AR SDK pricing is custom and MAU-based with no public list price (Banuba FAQ).

Perfect Corp (public materials, checked 2026-10-14): Perfect Corp markets Makeup & Look Virtual Try-On API capabilities for web/mobile/in-store via its YouCam / YCE developer surface (product page). Public pages emphasize API/unit-based access; treat any third-party dollar tables as unverified unless confirmed on Perfect Corp’s own quote or pricing UI.

AI Beauty does not claim to undercut these vendors on every SKU or feature. We position a focused mid-market pilot and white-label path for brand catalogs.

Pilot design

Prefer a time-boxed pilot with a named owner, a SKU slice, placement, and KPIs written before traffic. Integration steps: how to integrate try-on.

Where AI Beauty fits

• You need brand-scoped try-on / shade flows, not a multi-vertical AR SDK first;
• You want to start from a live demo and a pilot, then white-label;
• You will measure your own funnel instead of borrowing market-wide % claims;
• You want a reference of a live brand catalog deployment — see the Anaminerals case.

Product detail: Virtual Try-On. Book a pilot discussion with your category list and storefront constraints — we will say clearly if an enterprise suite is a better fit.

Book a pilot discussion