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AI recommendations are leading to returns

Reported by Retail Dive, Nicole Silberstein on

Image: Retail Dive

The problem may not have to do with the technology itself, but rather the product description data, according to a new report. Despite the promise of deeper personalization, AI agents aren’t yet able to bypass the thorny issue of returns . However, the reasons for the return of AI-recommended products differ from those in more traditional retail channels. While incorrect size or fit is the most common factor leading to U.S. returns in general (42%), according to the survey, the most frequently cited problem with AI-recommended products is that the item doesn’t live up to its description.

Read the full story at Retail Dive(opens in a new tab)

This is a short excerpt credited to Retail Dive; the full article is on the publisher's site. CheckDealsDaily doesn't edit or verify third-party reporting. Prices mentioned in news stories can change — check the verified deals for prices we track.

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