AI body scanner for perfectly-fit clothes | Dall - e 3 Github | Bing Image Creator | Photoshop Beta | Turtles AI

  A UK-based technology spin-out from the University of Oxford has developed a groundbreaking AI tool that scans users' bodies to provide accurate measurements for clothing, with the intention of optimizing the online shopping experience and saving billions in returns for UK retailers. Aistetic, initially founded in 2019 by Duncan McKay, INSEAD MBA, and Phil Torr, professor of computer vision and deep learning at the University of Oxford, has received two Innovate UK grants and a Future Fashion Factory Grant in partnership with the University of Leeds, with a total funding of approximately £1.2 million. McKay said: "I worked for L'Oreal, Unilever, and PepsiCo, generating new product ideas and solutions for consumers. I developed a net revenue business of £18 million in one year while at PepsiCo. I got into this because I love innovation: I enjoy innovation, creation, and expanding businesses. I founded Aistetic with Phil Torr when I personally experienced the problem of ill-fitting clothing, and we both felt we could solve it with a technological solution. With the development of our pending patent solution, we quickly realized that our purpose is bigger than that: we want next-generation 3D body modelling to be available to anyone with a mobile device." Aistetic is a low-code solution that integrates into retailers' websites with a small piece of JavaScript that works on WordPress and Shopify stores. With Aistetic, users can select a garment, then use the AI software to scan their body and receive their specific clothing measurements and sizes for the retailer they are shopping for within 3 minutes or less. McKay explains that this new tool can reduce return rates by up to 30%, resulting in significant savings for retailers. "Using our tool, consumers can record themselves using their phone, tablet, or computer to receive their measurements with 98% accuracy. They just need to stand before the camera and turn for 10 seconds. We want to empower people with their body data to make more informed decisions that are right for them, and the use of this tool can reduce return rates by up to 30%. Our next step is to develop a no-code solution for Shopify customers; this will make our grey-label solution codeless and available on the Shopify app marketplace," McKay said. High return rates are not only a significant burden on the profits of retailers growing their businesses online but are also a significant environmental drain on the polluting fashion sector, which the UN estimates contributes 10% of global carbon emissions. "The carbon footprint of a return can be as high as 4.2 kg of carbon if the garment is returned to the store. This is something we often don't think about. This technology is easily accessible, it's a low-code solution that can be stuck on any site, and will help promote a more responsible approach to clothing," McKay said.