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Amazon Hopes Fit Insights Tool Will Reduce Returns

Amazon
Amazon Hopes Fit Insights Tool Will Reduce Returns

Amazon is giving fashion brands access to a tool to help customers determine the fit of apparel and shoes in an effort to reduce returns. The Fit Insights tool uses artificial intelligence and machine learning technology to help meet customer sizing expectations, Amazon said.

However, a couple of sellers said customers lie about apparel not fitting in order to get free returns.

One seller responding to Amazon’s announcement wrote in part, “And before you smear this “technology” all over your website, is your AI smart enough to figure out which “wrong size/inaccurate website info” returns are customers that are simply looking for free returns?”

Another seller agreed with that premise, writing, “Laughable! 90% of customers LIE about their product not fitting just to get a FREE return!. I sell one size fits all stretchy winter caps for adults and EVERY TIME it is returned they say doesn’t fit! You are training your algorithm based on lies!!!”

In its announcement, Amazon said the Fit Insights tool analyzes returns data, size charts, and customer feedback on fit, quality, and price to recommend improvements to brands’ size charts and product listings and said it offers the following benefits:

  • Products categorized by return health, from very poor to excellent, so you can quickly identify listings that need to be updated.
  • A comparison of your product return rate against an average benchmark of best-in-class products in a similar price and style with low returns.
  • A summary of customer insights based on positive and negative customer feedback.
  • Analysis of your size charts with recommendations on how to resolve size chart issues and meet customer sizing expectations.

Fit Insights is only available to apparel and shoe brands enrolled under Amazon Brand Registry, with at least 100 units sold in the last 12 months.

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Ina Steiner
Ina Steiner
Ina Steiner is co-founder and Editor of EcommerceBytes and has been reporting on ecommerce since 1999. She's a widely cited authority on marketplace selling and is author of "Turn eBay Data Into Dollars" (McGraw-Hill 2006). Her blog was featured in the book, "Blogging Heroes" (Wiley 2008). She is a member of the Online News Association (Sep 2005 - present) and Investigative Reporters and Editors (Mar 2006 - present). Follow her on Twitter at @ecommercebytes and send news tips to ina@ecommercebytes.com. See disclosure at EcommerceBytes.com/disclosure/.

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Ina Steiner is co-founder and Editor of EcommerceBytes and has been reporting on ecommerce since 1999. She's a widely cited authority on marketplace selling and is author of "Turn eBay Data Into Dollars" (McGraw-Hill 2006). Her blog was featured in the book, "Blogging Heroes" (Wiley 2008). She is a member of the Online News Association (Sep 2005 - present) and Investigative Reporters and Editors (Mar 2006 - present). Follow her on Twitter at @ecommercebytes and send news tips to ina@ecommercebytes.com. See disclosure at EcommerceBytes.com/disclosure/.