Online shopping giants are turning to artificial intelligence (AI) to reduce the high rate of clothes returns, which is a major challenge for the e-commerce industry. Returns can be costly and time-consuming, and companies are looking for ways to minimize this issue.
AI-powered solutions are being used to improve the accuracy of size recommendations, reducing the likelihood of returns due to ill-fitting clothes. These solutions use machine learning algorithms to analyze customer data, including purchase history and body measurements, to provide personalized size recommendations.
Some online retailers are also using AI-powered chatbots to help customers with sizing and fit questions, reducing the need for returns. These chatbots can provide detailed product information, including measurements and fabric descriptions, to help customers make informed purchasing decisions.
Additionally, AI-powered virtual try-on capabilities are being used to allow customers to see how clothes would fit without having to physically try them on. This technology uses augmented reality (AR) and machine learning algorithms to create a virtual replica of the customer, allowing them to see how clothes would fit and look on their body.
By leveraging AI-powered solutions, online shopping giants aim to reduce returns, improve customer satisfaction, and increase sales. The use of AI in e-commerce is expected to continue growing, with mor
