Fashion Metric Virtual Sizer Collects Data For Apparel Retailers

Fashion Metric has released a solution designed to address the potential inaccuracies and reliability issues that come with online sizing. The Virtual Sizer platform deploys artificial intelligence and machine learning techniques to:

  • Predict more than 50 body measurements based on data points consumers are likely to know by heart (e.g. height, weight, bra size, shoe size), rather than requiring users to measure their waist, inseam or neck with a tape measure;



  • Integrate with retailers’ online product catalog to more accurately match customer body types with specific pieces of clothing; and

  • Aggregate customer sizing data for retailers and manufacturers, providing insights for improving inventory management, merchandising, and the pattern-making and design processes for future products.

The solution’s filtering capabilities fit for mobile shoppers as well; rather than thumbing through dozens of garments, a mobile site could provide two or three items that will fit the shopper’s individual body shape.

Virtual Sizer not only integrates with a range of retailers’ inventories, but as a plug-in API it can be deployed at a variety of points in the shopping journey. For example, some shoppers will order the same item in two different sizes, planning ahead of time to return the non-fitting garment after they receive their order.

Submit Your Solution

Let us feature your new products or services.

Featured Event

Join 5,000+ attendees for an immersive experience where you can get inspired by retail’s most innovative minds and see their big ideas in action. Use code RICE25P04 to save up to $500 on your pass!

Free Expo Pass for Retailers and Brands!
Save up to $500 on your All-Access Pass and choose from 100+ sessions with an exclusive Retail TouchPoints discount!


Access The Media Kit


Access Our Editorial Calendar

If you are downloading this on behalf of a client, please provide the company name and website information below: