Incorrect sizes and unmet expectations on how garments fit represent not only the main drivers of returns, but also a significant inconvenience for customers who often resort to ordering multiple sizes to then send the unwanted items back. This process is cumbersome for customers, detrimental for both retailers' profitability and the environment, and urgent to solve (Rebound Returns data shows that apparel returns have skyrocketed by 63% during the pandemic). We, at DeepGears, are developing a software aiming at solving this problem. With DeepGears, online shoppers can: ● Visualize how garments truly fit on their virtual character, featuring their very same body measurements ● Find out their perfect size ● Discover DeepGears’ recommended products, empowered by advanced analytics on users’ physical trait data As a result, online consumers will shop online more easily, enjoying an experience closer to reality and ultimately return fewer unwanted items. Drawing from a successful Shopify’s case study on accessories, we have estimated that products equipped with DeepGears' software will experience a 20+% sales increase and 30+% reduction in returns. This will not only constitute an attractive value proposition to any retailer, but also reduce the immense amount of CO2 produced by the fashion industry.