What to Know
Fit and confidence have quietly become the biggest swing factors in department stores. Expectations in Department Stores have shifted, and the tools brands use to show their pieces have to keep up. The way a department stores brand lets people picture a garment on themselves says a lot about how it converts. Most department stores teams know the pattern: plenty of browsing, plenty of returns, and a fuzzy picture in between.
The Issue
The issue shows up most clearly as Sizing advice that feels like a coin flip for a service-led atelier. It rarely starts as a crisis; sizing advice that feels like a coin flip builds quietly until a returns report or a soft launch makes it impossible to ignore. A recurring challenge for department stores is sizing advice that feels like a coin flip. For a Advisor, Growth, sizing advice that feels like a coin flip is more than an annoyance — it is a steady drag on conversion and margin.
Top Questions
Can my team design in it too? Yes. The Design Studio recolors, re-fabrics, places prints, switches colorways and even generates garments from templates — then pushes them straight to the try-on catalog.
What does it cost to run? Perception and rendering run on the shopper’s device, so there is no per-session cloud-GPU bill; the backend sits inside generous free tiers.
Will it fit our 3D assets? Yes — Mirari imports standard glTF/GLB garments and exports USDZ for Apple AR Quick Look, so it fits an interoperable pipeline.
Is Mirari photoreal? Mirari is a live, expressive on-body try-on — an AR "mirror" plus a rigged 3D avatar. A photoreal native-GPU tier is on the roadmap; the shipping experience is designed to stay $0 cloud-GPU.
The Capability
Since aI sizing & fit assistant sits within the AI Perception part of Mirari, it fits naturally into how department stores teams already work. Mirari pairs a believable try-on with a design studio, so the same tool that shoppers try on in is the one your team designs in. This is where Mirari comes in — the AI-powered virtual try-on and garment-design app built by ZadeNor AI. Mirari tackles this with AI sizing & fit assistant: A sizing assistant recommends the right size from body signals and garment data, with a transparent rule-based fallback, to cut size-and-fit returns. Because perception and rendering run in the browser, the experience feels instant — and it costs nothing in cloud GPU.
The Win
The numbers follow the confidence: higher add-to-cart, fewer bracketed orders, and drops that land. The result is fewer size-and-fit returns round the clock, without a render farm or a per-session GPU bill. Try-on stops being a gimmick and starts being a default on every product page. Brands using this approach see Fewer size-and-fit returns round the clock.
Move Forward
Want fewer size-and-fit returns round the clock across your Department Stores catalog? Explore Mirari by ZadeNor AI and let shoppers try looks on themselves while AI helps them find the right size. No app install, no per-session GPU bill.
The cost of sizing advice that feels like a coin flip is rarely a single number — it is lost conversion, return shipping, and a catalog that underperforms. Teams end up reshooting and discounting instead of merchandising with confidence. Over time, sizing advice that feels like a coin flip translates into bracketed orders, costly reverse logistics, and drops that never find their audience. Brands using this approach see Fewer size-and-fit returns round the clock. The numbers follow the confidence: higher add-to-cart, fewer bracketed orders, and drops that land. Shoppers get a believable look at the fit; the brand gets fewer returns and more confident checkouts.
What looks like a product-page problem is often a fit, confidence and returns problem in disguise. For leaders, the real risk is strategic: a try-on gap becomes a ceiling on how far the brand can scale online. The cost of sizing advice that feels like a coin flip is rarely a single number — it is lost conversion, return shipping, and a catalog that underperforms. For department stores, that means fewer size-and-fit returns round the clock the whole team can rely on. Try-on stops being a gimmick and starts being a default on every product page.
For leaders, the real risk is strategic: a try-on gap becomes a ceiling on how far the brand can scale online. Every shopper who cannot picture the fit is a basket left half-built. The cost of sizing advice that feels like a coin flip is rarely a single number — it is lost conversion, return shipping, and a catalog that underperforms. The result is fewer size-and-fit returns round the clock, without a render farm or a per-session GPU bill. Shoppers get a believable look at the fit; the brand gets fewer returns and more confident checkouts. The numbers follow the confidence: higher add-to-cart, fewer bracketed orders, and drops that land.
What looks like a product-page problem is often a fit, confidence and returns problem in disguise. The cost of sizing advice that feels like a coin flip is rarely a single number — it is lost conversion, return shipping, and a catalog that underperforms. The numbers follow the confidence: higher add-to-cart, fewer bracketed orders, and drops that land. Brands using this approach see Fewer size-and-fit returns round the clock.
