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Fashion tech glossary

Short definitions for the ideas behind Velvet and modern fashion software—virtual try-on, agentic workflows, and more.

Virtual try-on

Virtual try-on uses computer vision and graphics to preview how a garment might look on a person—often from a photo—before purchase. Quality depends on how faithfully the system represents body shape and fabric drape.

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Digital Double

A Digital Double is a body-accurate digital representation used to preview clothing, as opposed to a generic or cartoon avatar. The goal is to reduce surprise at delivery by aligning the preview with your proportions.

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Agentic commerce

Agentic commerce describes shopping experiences where software can take goal-directed actions on your behalf—such as searching, comparing, or curating—within limits you set, rather than only returning static search results.

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Fashion AI

Fashion AI spans recommendation, visual search, styling dialogue, and fit-related modeling. It is most useful when grounded in real inventory, transparent sourcing, and clear return policies.

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Conversational commerce

Conversational commerce lets shoppers discover products through chat-style interaction—mood, occasion, and constraints in natural language—instead of typing rigid keywords into a search box.

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Fit prediction

Fit prediction estimates how a size or cut might work for an individual using signals like measurements, past purchases, or returns. It complements—but does not replace—virtual try-on for visual confidence.

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Body twin

“Body twin” is informal language for a personalized body model used in try-on or fit tools. Velvet uses the term Digital Double to emphasize accuracy and commerce use cases rather than gaming-style avatars.

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AI personal stylist

An AI personal stylist suggests outfits or pieces based on taste, context, and constraints. The best systems combine taste models with trustworthy catalog data and ways to see items on you—such as a Digital Double.

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Fashion tech

Fashion tech is the intersection of apparel retail and software: discovery interfaces, supply chain visibility, sizing, returns analytics, and customer experience on mobile.

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Return rate optimization

Return rate optimization uses better sizing guidance, imagery, and expectation-setting to reduce unnecessary shipments and reverse logistics—an area where accurate try-on and fit signals can help.

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