Size recommendation technologies are proven to increase conversion rates, but they often don’t make much of an impact on return rates. We’re taking a bold new approach, and with it, reducing return rates by 20% or more and helping brands improve sustainability and make better fitting clothes in the process.

GO BEYOND SIZE RECOMMENDATIONS


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WORKING WITH INNOVATIVE BRANDS AND RETAILERS

A BOLD NEW APPROACH TO FIT

For the last decade, online retailers have been adding a “What My Size” button to their product pages. The result is higher conversion rates but often minimal impact on return rates. We think it’s time to shake things up, and it starts with a bold new approach that does a better job of taking into account how size varies by garment style, fabric, and shopper behavior.

OUTPERFORMING THE COMPETITION

After countless live A/B tests with some of the largest brands and retailers in the world, Bold Metrics has been proven to consistently outperforms size charts, camera-based technologies, and other question-based fit recommenders. The results are a solution that does more than just increasing conversion rates, because what good is a recommendation if the customer ends up getting something that doesn’t fit?

STYLE AND FABRIC PROPERTIES MATTER

One person can wear a different size, in the same brand if the style or fabric properties are different. Taking data like this into account is critical to help shoppers find the right size the first time. This is why brands trust Bold Metrics to fit some of the most challenging garments like women’s jeans and men’s tuxedos.

GETTING THE RIGHT SIZE THE FIRST TIME

We take a fundamentally different approach to fit and sizing. First, we’ll never ask your shoppers for their favorite size in a competing brand. We also don’t believe in “body doubles” - in our book every customer is unique. Our technology was built to find the best size for each shopper the first time.

MACHINE LEARNING MEETS BODY DATA

Leveraging the apparel industry’s largest body data warehouse, we’ve used Machine Learning for 6+ years to create a concert of algorithms that provide consumers with accurate recommendations, and brands with detailed body data they can use improve inventory management, identify manufacturing issues, and make better fitting clothes.

HOW SIZING SPECIFICATIONS HAVE BEEN DEFINED

Apparel sizing relies on insights gathered from fit models, which involves a lot of assumptions to assess pattern sizing and fit. Bold Metrics is driving a departure from the traditional fit model approach with a move towards garment design informed by a brand's actual customer body data.

INTEGRATION OPTIONS

OPTIMIZED FOR YOUR CUSTOMER JOURNEY

Customers that create accounts are often the most valued, highest LTV shoppers. Why not collect data on their body measurements and how that relates to their overall fit in the garments? Simply add (minimum) four easy to answer questions to this sign-up process and start collecting valuable, actionable data on your valued customers.



    The problem with size charts is that they rarely help a shopper actually select the best size. They usually include a description of body measurements like ‘hips’ that often require a measuring tape to get right—a task that online shoppers are unlikely to do. With the Smart Size Chart, shoppers can leverage information they commonly know about themselves to get size recommendations based on accurate body measurement predictions and distinguished on a per-style basis.



      The Virtual Sizer API allows you to implement your customized sizing solution, designed to your specifications. The API returns detailed body measurement predictions in addition to fit and size recommendations. The API provides a simple programmatic interface to access the Bold Metrics technology and features. We use REST for access to the API, and return all responses in JSON, including errors.



        The flexibility of Fashion Metric allows the technology to be deployed in impactful ways throughout the customer journey. There's no reason why your in-store experience can't benefit from the same technology you use on your website. In an in-store app, shoppers can instantly find garments in their size, avoid multiple trips to the dressing room, and discover clothes they might miss on a normal store visit. Take your in-store experience to the next level, while collecting and leveraging actionable omnichannel data.



          Improve the customer experience online and allow your customer to generate a realistic avatar and see clothes drape on their body, just like they would in real life. Coupled with accurate size recommendations, your customer can finally try before they buy—online. The solution allows for side-by-side comparison of different sizes, as well as a comfort map that displays a heat map overlay to view pressure-points and overall fit.



            Apparel Insights
            Turn data into action

            Generate customer-driven body measurement predictions and learn how to improve garment specifications, better manage inventory and much more.


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            Read our Whitepaper
            Why apparel return rates are so high

            We took a deep dive into understanding apparel return rates from every possible angle. Learn more about the state of the industry as it relates to sizing and the hidden economic impact of consumer uncertainty.


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