Retail News
AI recommendations are leading to returns
Reported by Retail Dive, Nicole Silberstein on

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.
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