Zizr understands sizing by analysing your product catalogue — not by questioning your customers.
Returns are not just a logistics problem. They quietly erode conversion, margin, and customer confidence — especially when sizing is uncertain.
Most people won't tell a website how much they weigh. Those who do often guess or round up. That's not a data problem. It's human nature. When you ask for weight, most shoppers leave.
Two people with identical height and weight can need completely different sizes. Body shape, posture, brand-specific cutting — none of it is captured in two numbers. Height and weight was never enough information to recommend the right size.
You stop a shopper who is ready to buy and ask them personal questions. Conversion drops before they even add to cart. The tool designed to reduce returns is reducing sales instead.
Clothes aren't just functional — they're personal. Being asked to measure and categorise your body at the moment of purchase is uncomfortable for many shoppers. For some, it's enough to make them leave entirely. The best sizing experience is one the shopper never notices.
"While others ask shoppers to fit the system — Zizr fits the recommendation to them. Silently. Accurately. At the moment they're ready to buy."
Zizr understands sizing by analysing your product catalogue — not by questioning your customers. Every shopper gets a precise recommendation. No body measurements. No weight. No photos. Minimal friction.
Simple for your team. Sophisticated under the hood.
Add Zizr to your Shopify store and go live in under 60 minutes. No developers needed. No data migration. No catalogue work required.
Behind that one click is SKU-level modelling across millions of data points. Every product is mapped individually, not by brand averages or size-chart approximations, so Zizr can understand fit before your first sale.
New shoppers tell Zizr one thing they already own — a specific model and size they know fits well. That's it.
From that single reference point, Zizr maps their fit profile across your catalogue and recommends the right size for anything in your store — even across brands and categories. Returning customers get instant recommendations based on what they already bought and kept.
Because every product is mapped into a living global product catalog before your store has to generate its own history.
You might wonder: if no one has bought my products through Zizr yet, how can it recommend sizes?
The answer is our Global Product Catalogue — a continuously updated intelligence layer that maps how every product in our network actually fits in real purchases. Not what the label says. Not what brand guidelines suggest. What real customers experienced, returned, and gave FitBack on.
When a new product enters your store, Zizr places it in that map. Instantly.
Every product is placed in the Global Product Catalogue from day one. Zizr already understands how your products fit — by mapping them against everything we know about how similar products fit across millions of real purchases. No waiting period. No cold start.
Every purchase, return, and FitBack response across the entire Zizr network updates the model in real time. The more the network grows, the more accurate every recommendation becomes — including for your store.
Catalog Intelligence doesn't just help shoppers. It tells you which products in your assortment are systematically causing sizing problems — at the individual product level — before they become return problems. Use it for better buying, better supplier briefings, and better product development.
Every purchase, return, and FitBack response improves the model — not just for one store, but across an international retailer network.