Your next
bestseller starts
with a
conversation.
The demand intelligence layer for fashion.
Already in the real world
Virtual try-on.
From one full-body photo, shoppers can see an outfit on themselves inside Urban Revivo’s WeChat mini app.
Live since September 1, 2026
Screen recording from the WeChat mini app · Loading time shortened
Trend prediction engine
The design team uses our Fashion Engine (时尚引擎) to spot emerging styles across fashion weeks, runways and social media.
URBAN REVIVO
Long-sleeve evening wear is rising. It’s what our shopper asked for.
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What we learned
The demand your
sales report
can’t show.
Building try-on and the trend engine showed us the gap. Brands decide what to make months before shoppers see it, using data about clothes that already exist.
2.5–5 billion estimated excess items produced in 2023 · BoF–McKinsey
We started by simulating how clothes look on people. Now we’re building technology to simulate which clothes people will want before those clothes exist.
See what we’re buildingThe loop we’re building
Two agents. One learning loop.
The stylist starts with the occasion so it can recommend looks from the brand’s catalog.
Long-sleeve gown
$189
- AI stylist · Her next visit
- Brand agent · Next collection
Frequently asked questions.
Who is PerFit for?
Fashion brands that want to know what shoppers want before they produce it. Start with styling and try-on, then use those conversations to plan your next collection.
Do we need to replace our existing software?
No. The pilot works with your product catalog and current storefront.
What does a pilot involve?
We add AI styling and try-on to one category, then build your first report on what shoppers asked for and couldn’t find. We agree on scope, timing and success measures together.
Your next collection
starts with listening.
Start with one category. We’ll build your first unmet-demand report with you.