Oxford University spinout invents body scanner for accurate clothing measurements

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Online shopping is a huge convenience! It lets you purchase anything you want or need without ever having to leave your home. However, one of the biggest problems when shopping online is that it’s often difficult to get the right size. This can result in costly returns and a lot of wasted time. To address this issue, a tech spinout from Oxford University has created a “ground breaking” AI tool that uses body scanning to make accurate clothing measurements.

The innovative tool scans the user’s body using the measuring points specified by retailers. This eliminates the guesswork and ensures the customer gets the clothing in the perfect size. It uses advanced Deep Artificial Intelligence (AI) to assess the measurements and deliver accurate clothing sizes to the shoppers. This not only improves the overall shopping experience for the customers, it also saves UK retailers billions in returns.

This technology was founded in 2019 by Duncan McKay, an INSEAD MBA, and Phil Torr, a professor of Computer Vision and Deep AI. Along with their team, they have developed the engine that powers the AI tool. It is designed to be fast and intuitive, while delivering reliable results. It is also extremely scalable and can be easily adapted to fit different applications.

The AI tool is a game-changer for the e-commerce industry. It is revolutionizing the online shopping experience, eliminating the guesswork and giving customers the size and fit they need. Not only does this benefit the customers, it also has the potential to save retailers billions in returns. This is a great example of how AI technology can be used to improve customer convenience and satisfaction.






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