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Amazon turns to AI to help customers find clothes that fit when shopping online | TechCrunch

Jan 08, 2024 - news.bensbites.co
Amazon is using AI technology to improve its online apparel shopping experience and reduce return rates. The company is using large language models, generative AI, and machine learning to power four features: personalized size recommendations, a “Fit Insights” tool for sellers, AI-powered highlights from fit reviews, and reimagined size charts. The personalized size recommendations feature uses a deep learning algorithm to suggest the best-fitting size for a customer, while the Fit Insights tool provides sellers with insights into customer's fit needs to improve sizing communication.

The Fit Review Highlights feature extracts information about the apparel’s fit from customer reviews and summarizes it into an easy-to-read highlight, saving users time from reading through hundreds of reviews. Amazon is also using AI to standardize and improve the accuracy of size charts across the site. These features are part of Amazon's recent efforts to use AI to enhance the shopping experience on its site, which also include generative AI tools to help sellers write product descriptions and enhance product images.

Key takeaways:

  • Amazon is using AI technology, including large language models, generative AI, and machine learning, to help customers find clothing that fits, aiming to reduce the high return rate for online apparel purchases.
  • The company has introduced four AI-powered features: personalized size recommendations, a “Fit Insights” tool for sellers, AI-powered highlights from fit reviews, and reimagined size charts.
  • Amazon's AI extracts information about the apparel’s fit from customer reviews and summarizes the findings into an easy-to-read highlight personalized to the user, potentially saving users time by not having to read through hundreds of reviews.
  • Sellers can also benefit from AI-powered insights, gaining an understanding of customer’s fit needs to improve how they communicate sizing to customers and guide their future manufacturing efforts.
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