AI-Powered Engine Is Designed To Match Apparel Fit To Actual Customers

Bold Metrics Inc., a provider of technology that uses data science and machine learning to predict body measurements, has launched Apparel Insights (BMI AI). The product enables brands to leverage AI technology to take a data-driven approach to clothing design and ready-to-wear sizing.

Companies have previously used a traditional “fit model” approach to garment design — where they estimated customer body shapes and sizes. The new BMI AI solution uses actual customer data to inform fits and sizes in a more personalized manner.

“The ways clothes are made today involve a lot of assumptions and rely on insights gathered from fit models, which in most cases is an anecdotal approach to assess pattern sizing and fit,” said Daina Burnes, Co-Founder and CEO of Bold Metrics in a statement. “We see the opportunity to fundamentally change the way clothes are made by using real customer data. Apparel brands can now algorithmically obtain detailed body measurements of their shoppers and leverage this data upstream to curate AI-driven product decisions around sizing and fit.”


Although online shopping sites provide tools such as sizing charts to guide consumers in choosing the best apparel size, that method doesn’t give brands or retailers data about the specific measurements of their customers that they could use at the design and manufacturing stages. As a result, fit issues are the primary reason for online returns in the apparel category.

“We provide the same granular level of data as if your customers had stepped into a body scanner, but only require them to answer a handful of simple questions that they know off the top of their heads,” said Morgan Linton, Co-Founder and COO of Bold Metrics in a statement.

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