StyleSnap is Amazon’s latest attempt to use machine-learning to peddle you fashion.
How it works: The tool lets you upload photos of clothes and accessories you like. It then uses machine-learning algorithms to match them to similar items on Amazon.
The big picture: It’s the company’s latest crack at one of the few areas it has yet to dominate in retail. Last year, it took a different tack with the launch of a stylist assistant built into the Echo Look camera, which advised on which of two outfits looks best. But reviewers found the assistant’s logic lacking, and the product never took off.
Technical difficulties: The assistant had a tougher task: it required generating subjective opinions. With StyleSnap, Amazon may have more luck. It relies on machine learning’s biggest strength: pattern-matching in images.
—Karen Hao
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