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Big data solving the online clothing fit problem.

Big data solving the online clothing fit problem.

30-40% of online clothing purchases are returned, a hardship for both retailers and consumers. It’s so difficult for consumers to determine what will fit while shopping online that they either order improperly and have return their item, or they stick to one or two staple items that they know will fit and never try new brands/styles.

The industry is fundamentally broken, resulting in $18B in online clothing returns.

Solution: Fittery is holistically solving the online fit problem through the power of big data. Our Fit Merchandising tools guide shoppers to the clothing that fits them best by rating each individual item by how well it will fit, in real-time, and rate how well it will fit across each significant point of measure. Our Fit Insights provide sales intelligence retailers can't get from any other source, empowering product design and selection decisions with unprecedented clarity.

The best part: our return rate is only .6%, compared to the industry average of 30-40%.

Catherine Iger

Avatar for Catherine Iger
Founder at Fittery. 16 years of ecomm with major brands: AutoTrader, UPS, The Home Depot, Coca-Cola, Turner, BellSouth, Int'l Hotels Group. Studied at Emory.
VP Product @Salesfusion • Founder of @Fittery • Technologist & Biz leader • CompE / Music at @Vanderbilt University / Fmr @The Home Depot @AutoTrader.com
Total raised

$210K

Funded over

1 round

Latest round

Seed (Oct 2015)

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