Why online fashion still makes shoppers guess their size
Fashion ecommerce has transformed almost every part of the shopping journey. Choosing the right size still asks shoppers to translate abstract information into their own bodies.
In short
- Size selection is still surprisingly abstract compared with the rest of ecommerce.
- More questions and measurements do not automatically create a better shopper experience.
- AI makes it possible to turn size guidance into a visual, intuitive part of the product page.
Ecommerce fixed the journey, not the fit
Fashion ecommerce has become sophisticated across discovery, checkout, payments and delivery. Yet size selection still often reduces the shopper to a chart, a letter or a number, alongside one model who may not resemble them. The rest of the journey treats the shopper as an individual; the fit moment treats them as an abstraction.
A physical fit decision is still being made through abstract information. We started from the observation that this mismatch between how people actually choose a size and how they are asked to do it online is where the returns problem begins.
“Shoppers do not want to calculate fit. They want to recognise it.”
The answer is not another form
Many sizing experiences try to reduce uncertainty by asking shoppers for more inputs. Each extra question adds friction, and more measurements do not automatically create a better shopper experience. The task is not to collect more data; it is to make the decision feel obvious.
Our point of view is simple: the shopper should recognise rather than calculate. In Weon Fit, the shopper chooses the body closest to theirs and receives one recommended size for the specific garment and market, without needing a tape measure.
Taking the sizing question into the room with the fashion industry.
AI changes the interface, not just the prediction
The interesting part of AI is not simply a more complex model behind the scenes. It allows the shopper experience itself to become visual and intuitive. A technically strong recommendation has little value if shoppers do not understand or use the interface.
Size guidance should feel like part of the product page, not a calculator placed on top of it. The best size guide will eventually stop feeling like a size guide.
From product question to industry conversation
We have taken the sizing question to industry stages and discussions, including D-Congress 2025 and AI Salon Stockholm, because the problem needs to be tested against how brands and shoppers actually behave, not only against technical benchmarks.
At D-Congress 2025, Charlotte Nordén, CEO of Cellbes, joined our session and brought the retailer's view into the conversation. These discussions keep the work grounded in real behaviour rather than isolated metrics.
Gustav Karlsson and Jakob Kvanvig presenting Weon's approach to online fit.
Where we think size guidance is going
Size guidance has moved from static size charts to questionnaires, then to recommendation engines. The next step is a visual and adaptive layer built directly into the product page, one that makes fit easier to understand before the purchase.
Weon Fit is our first step: helping shoppers move from abstract size information to one clear recommendation for the specific garment and market. Weon Dressing Room is what we are building next, taking that idea further by letting shoppers see the garment on a body that matches their own, in the size they would actually order.
If the shopper still has to guess, the interface has not done its job.
