Forecast demand
Bring market trends and your own sales data into the same product and order decisions.
For apparel merchandising & planning teams
Know what to make.And how much.
PerFit turns demand and trend data into recommendations on what to make and how much to order—with reasoning your team can review and adjust.
AI sees the signal. You make the call.
The planning problem
Demand changes. Your plan should, too.
Plan inventory
Review allocation and replenishment against demand, before committing more stock.
Shorten the decision cycle
Move from scattered research to recommendations your merchandising team can review.
How PerFit works
Connect. Decide. Learn.
Connect
Bring product, sales, inventory and customer context together. Connection requirements are scoped around your systems.
Decide
Review the recommendation and its reasoning. Your team approves it or changes the plan.
Learn
Keep the decision, the reason and the outcome together to inform the next season.
Demand planning / Interactive example
AI sees the signal.
You make the call.
See how one allocation decision connects demand, human judgement and the result.
36units recommended
Step 1 / 3
The right stock. The wrong city.
A style sells out in Shanghai, while Beijing has stock. PerFit recommends moving 36 units to meet demand.
Illustrative scenario—not a customer result or a live action.
Customer work / UR
Built for a real fashion experience.
PerFit has built an AI try-on experience for UR (Urban Revivo). Shoppers can explore styled looks and access the try-on activity shown here.
This is our current try-on work with UR—not a claim that UR uses the demand-planning OS.
View the full product screen ↗
The broader direction
Start with planning. Connect the rest.
The focus
Demand & trend intelligence
Product and quantity recommendations for merchandising and planning.
Planned expansion · timing to be confirmed
Design copilot
Connect product creation more closely to the evidence behind the plan.
Built for UR · broader integration planned
AI try-on
Bring shopper experience into the wider fashion decision process.
About PerFit
Fashion expertise. Shared company memory.
PerFit is building AI-native infrastructure for fashion brands. Our goal is to connect what a brand knows, what its people decide and what happens next—so experience stays with the business.
Inside the technology ↗Q&A
Who is PerFit for?
Merchandising and planning teams at apparel brands, especially teams coordinating product, order quantity, allocation and replenishment decisions.
Do we have to replace our software?
No. PerFit is designed to sit above existing product, sales, inventory and customer systems. Specific platform support and connection requirements need to be confirmed for your setup.
What makes it more than a chatbot?
The OS demo connects answers to source reports and recommendations to reviewable tasks. The broader workflow keeps human approval, execution and outcomes connected.
What data do you need to get started?
A scoping conversation should cover your product catalogue, sales history, inventory and the planning decision you want to improve. Don’t send customer records or production datasets through this website.
How long is implementation?
The timeline depends on your data, systems and pilot scope. Contact us to discuss those requirements; there is no fixed implementation timeline published here.
How is our data kept separate and secure?
Security, data separation, access and retention requirements should be reviewed before a pilot or data transfer. Contact us for the information needed by your security team.
Who owns models trained on our data?
Model ownership, data use and training permissions need to be agreed in writing before an engagement. The website does not establish those rights.
How does pricing work?
Contact us to discuss pricing for your brand and use case. We have not published a standard plan or price.
Bring your planning question.
Tell us what your team is trying to decide. Start a conversation about PerFit and your workflow.