Oxford University spinout invents body scanner for accurate clothing measurements

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Online shopping has been a go to destination for many, especially during a pandemic as it allows us to purchase anything without ever having to leave the house. However, one of the major problems customers face while shopping online is getting the correct size for their clothes. This has become a major problem for some retailers which often result in product returns and a lot of money lost.

Thankfully now, Oxford University spinout has developed a revolutionary AI formula that helps with customers’ clothing measurements. The AI has been trained to use a video based scanning technology to accurately measure customers’ body shape and size by analysing the video feeds. This AI tool then uses these measurements to provide recommendations of the correct size and types of clothes for customers to purchase from retailers.

Initially founded in 2019, by Duncan McKay and Phil Torr, AI is set to revolutionize the online shopping experience. Not only will it aid customers in getting the right sizes, but it will also be a game changer for many retailers. It can lead to reducing the number of returns which often cost retailers billions of pounds. It also eliminates the frustration of customers who find that the clothing item they purchased doesn’t fit correctly.

Therefore, this pioneering AI tool will certainly be a great help and provide a more convenient online shopping experience. Even though the initial cost may be high, this AI technology has the potential to help retailers save more money in the long run. Therefore, it is certainly worth the investment for any e-commerce business.






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