Virtual try-on
Shoppers explore existing outfits through AI try-on in the WeChat mini app. Live since September 1, 2026.
URBAN REVIVO
AI STYLING. REAL CUSTOMER INTENT.
An AI stylist for your shoppers. Demand intelligence for your next collection.
VIRTUAL TRY-ON · LIVE PRODUCT

The foundation we’re building on.
Shoppers explore existing outfits through AI try-on in the WeChat mini app. Live since September 1, 2026.
URBAN REVIVO
Our Fashion Engine (时尚引擎) is used by the design team to identify emerging styles across fashion weeks, runways and social media.
URBAN REVIVO
See the PerFit loop
in 25 seconds.
THE LOOP WE’RE BUILDING
Meet the AI stylist.
Follow the signal to the brand agent.
An outdoor wedding in December. Something warm that still looks good?
A winter occasion.A shopper describes the moment she is dressing for. The brand begins to understand the intent behind the visit.
FOR YOUR MERCHANDISING TEAM
Sales tell you what sold. Conversations reveal what shoppers asked for and couldn’t find.
BRAND AGENT
BuildingDRESSES
COULDN’T FIND:
Long-sleeve
formal dress
INSIDE PERFIT
BuildingWe’re connecting the AI stylist and brand agent through shared shopper preferences. New designs return to the stylist; each launch adds real outcomes to learn from.
AI sees the signal.
You make the call.
AI stylist
Recommend, visualize and refine. Learn each shopper’s preferences—and capture the requests your catalog can’t meet.
Brand agent
Combine those requests with try-on behavior and trend signals. Explore new designs, test them with shoppers and give your team the evidence to decide.
HOW IT LEARNS
What shoppers ask for, try on, buy and return feeds the next recommendation.
Fashion brands that want to give shoppers a personal AI stylist and learn what they want but can’t find. Start with styling and try-on, then use those conversations to inform your next collection.
Live: virtual try-on in Urban Revivo’s WeChat mini app. Beta: the trend engine used by its design team. Building: the conversational AI stylist and brand agent, including unmet-demand reports.
The pilot starts with your product catalog and existing storefront. We’ll work with your team on how AI styling and try-on fit into that shopping experience.
We’ll work with your team to add AI styling and try-on to one category, then build your first report on what shoppers asked for and couldn’t find. Together, we’ll agree on scope, timing and how we’ll measure the pilot.
Start with AI styling and try-on for one category. We’ll build your first unmet-demand report with you.