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Savitude Simplifies Search For Women’s Fashion

With SaaS technology designed to simplify the shopping experience, Savitude is working to reshape the search for women’s fashion. The company’s visual recognition and machine learning technology uses a knowledge base that matches body shape and proportions with clothes that will fit best.

Customers answer a series of six questions designed to help categorize their body shapes. Savitude has screened and digitized hundreds of women using 3D scanners to create the body shapes, and uses this information to suggest clothes that will fit the customer’s body shape best.

Retailers that want to use the Savitude solution only need to provide access to their inventory, which Savitude sorts into nine categories using IBM Watson visual recognition technology.

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Additionally, Savitude plans to expand into menswear as well as other specialty clothing sites, according to TechCrunch.

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