AI Tools Debut in E-commerce to Combat Online Returns

A new wave of artificial intelligence is entering the online shopping landscape with the goal of improving accuracy and reducing the substantial volume of returned goods. Journalist Marianne Jones explored these AI-powered tools, including Google's 'try it on' feature, to see if they can help consumers shop more effectively.

Online shopping has become a pervasive habit, but it is often accompanied by a high rate of returns. This practice not only creates logistical challenges for retailers but also contributes to environmental waste. To address these issues, technology companies are developing AI solutions that aim to give shoppers a better sense of how items will fit and look before they make a purchase.

Jones documented her experience using these emerging technologies, which promise to bridge the gap between virtual browsing and the physical experience of trying on clothes. The effectiveness of these AI tools in accurately predicting fit and style is crucial for their adoption by both consumers and retailers seeking to streamline the e-commerce process.