Measured over six months against the same period in 2025, using the retailer’s own returns data.
Multi-brand womenswear retailer. Named reference available under NDA.
Returns run at 24.5% of online fashion orders industry-wide, and as high as 50% on occasion wear. Each one costs a retailer around 66% of the garment’s cost price. A 14.5% reduction takes 1,450 returns out of every 10,000.
Sizible sits over your product pages as an iFrame, so there is nothing to integrate and no engineering queue to join. You go live in days, not a quarter, and nothing in your stack changes.
A shopper builds one fit profile and it works across every brand in our fit-data map. Each brand we map makes that profile more useful to shoppers, and each shopper makes it more valuable to the retailers who carry those brands.
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What a demo involves
We show the fit profile, the size recommendation and the try-on running live on your own product pages.
We map your current size-related return rate so the impact of Sizible is measured, not estimated.
About two hours to set up on brands already in our fit-data map, then a one-week testing window before you go live. Nothing in your stack changes.
Our fit-data map is proprietary to StylAi Limited, built on our own sizing standard using verifiable published data and fit data supplied directly by brand design teams.