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Virtual Try-On & Fit Confidence Audit
Translate a merchant's apparel, footwear, eyewear, jewelry, or beauty catalog and current size / fit data into a deployable virtual try-on (VTO) and fit-confidence program. Output is a prioritized rollout plan: which SKUs and categories qualify for VTO, which fit / size-recommendation pattern to use, which cite-able fit signals to expose to AI shopping assistants, the measurement plan that proves return-rate reduction, and the legal / accessibility / model-diversity guardrails. This skill assumes the merchant is responding to AI-search and AI-shopping channels — including assistants that surface VTO inline (Google Search after the April 30, 2026 Doppl-to-Search migration) — and treats VTO as a return-rate and conversion lever, not a marketing demo.
This skill is kept in sync with KRASA-AI/retail-ai-skills — updated daily from GitHub.