After recently turning to generative AI to enhance its product reviews, e-commerce giant Amazon today shared how it’s now using AI technology to help customers shop for apparel online. The company explains it’s now using large language models, generative AI and machine learning to power four AI-powered features that will help customers find clothing that fits — an ongoing challenge when shopping online and the leading cause for apparel returns.
According to a study by Coresight Research, the average return rate for clothing ordered online is 24.4%, which is eight percentage points higher than the overall online return rate. In addition, retailers and brands said online returns had grown over the past two years. Often, that’s in part because today’s consumers will buy an item in multiple sizes or colors and then return those that don’t work out, as the process of home try-ons and shipping items back has become easier.
To address this challenge, Amazon has introduced AI into the online shopping experience in four ways: in personalized size recommendations, a “Fit Insights” tool for sellers, AI-powered highlights from fit reviews left by other customers and reimagined size charts.
With the personalized size recommendations, Amazon Fashion used AI