How Size Recommendations Work When Every Clothing Brand Uses a Different Size Chart
Clothing brands can use their own sizing standards and size charts. Mirrorsize supports brand-specific size charts so a size recommendation can be matched to the sizing information provided by the business. A size label on its own does not explain how a particular brand defines that size. That is why a useful size recommendation process has to work with the sizing standards of the brand whose garment is being considered.
Mirrorsize approaches this by connecting customer information with brand-specific size charts. Its sizing products are designed to return a recommended garment size rather than asking the shopper to interpret a chart alone.
Why the Brand’s Size Chart Matters
A size recommendation needs a reference point. For Mirrorsize, that reference point is the brand’s own sizing information. MS Size2Fit compares information from a guided camera process with the garment’s size chart, while MS QuickSize matches a customer profile with brand size charts.
This is important because the recommendation is not presented as a universal label that applies to every brand. The size recommendation is connected to the sizing standards uploaded by the business. Mirrorsize states that businesses can upload and manage their own size charts so recommendations match their unique brand standards.
How a Size Recommendation Is Created
Mirrorsize currently provides two different routes for producing a size recommendation. One is camera-based, while the other uses a short questionnaire.
Camera-Based Sizing With MS Size2Fit
MS Size2Fit asks the user to capture one front photo and one side photo with a smartphone or tablet. The process includes guided pose verification. The captured information is then analyzed against a brand-specific size chart, and the user receives a personalized size recommendation.
The service can work through a mobile browser and also supports Android and iOS integrations. Mirrorsize describes MS Size2Fit as device-agnostic, with support across smartphones, tablets, and web browsers without special hardware.
Questionnaire-Based Sizing With MS QuickSize
MS QuickSize takes a different route. It does not require photos, a camera, or a body scan. Instead, the customer answers six questions about age, height, weight, gender, and body shape.
Mirrorsize then matches the customer profile with brand size charts to provide a personalized size recommendation. The company states that the process takes less than 10 seconds.
This route can be used for apparel such as T-shirts, shirts, trousers, jeans, jackets, uniforms, sportswear, and other categories listed by Mirrorsize. Businesses can also upload and manage their own charts so the size recommendation follows their sizing standards.
Why One Recommendation Method Does Not Have to Fit Every Business
The two approaches show that a size recommendation can be produced from different types of customer input.
MS Size2Fit is built around guided front and side photos. MS QuickSize is built around six questions and does not require image capture. Both are designed to connect the customer with a brand’s own sizing information.
For a business, the difference is therefore not simply the final size recommendation. It is also the way the customer completes the sizing journey.
Mirrorsize supports integration with websites and mobile applications. MS Size2Fit provides APIs and SDKs for web, Android, and iOS, while MS QuickSize can also be integrated with web applications, Android, iOS, Shopify, and other eCommerce platforms.
Fit Preference Can Also Be Part of Sizing
A size recommendation can also reflect fit preference. MS Size2Fit supports Regular Fit and Tight Fit recommendations. Mirrorsize describes these options as a way for shoppers to select the fit that matches their preference while the recommendation still follows the brand’s sizing standards.
What Businesses Need to Prepare
For brand-specific sizing, the size charts are central. Mirrorsize allows businesses to upload size charts and apparel information as part of the sizing setup.
Once those charts are available, the sizing journey can be connected to the business’s website or application. The customer then completes either the camera-based or questionnaire-based flow and receives a size recommendation based on the relevant chart.
Size Recommendation Is About Matching the Customer to the Brand
When clothing brands use their own size charts, the useful question is not simply, “What size is this customer?” It is, “Which size in this brand’s chart is the best match for this customer?”
That is the role of size recommendation technology in the Mirrorsize approach. MS Size2Fit uses guided front and side photos, while MS QuickSize uses six customer questions. Both connect the customer journey with brand-specific sizing information.
For shoppers, the result is a personalized size recommendation. For businesses, the process provides a way to use their own size charts inside a digital sizing experience instead of asking every customer to work through those charts independently.