查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting originatin g from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Fo ley, Patrick (San Francisco, CA, US), Klingenberg, Bradley J. (San Mateo, CA, US ), McDonnell, John (San Francisco, CA, US), filed on December 20, 2017, was publ ished online on May 14, 2024. The assignee for this patent, patent number 11983748, is Stitch Fix Inc. (San Fr ancisco, California, United States). Reporters obtained the following quote from the background information supplied by the inventors: “A major difficulty for online clothing retailers is perfectin g the fit of an item. Traditionally, a customer orders her or his expected size, for example, small, medium, or large, when purchasing an item from an online re tailer. The retailer then ships the item to the expecting customer. In the event the item does not fit, the customer often must exchange the item for a differen t size. The exchange process can be time consuming and may take multiple attempt s to achieve a good fit. In some scenarios, even after multiple attempts, a good fit is not possible. For example, inventory may not be available in the correct size or the item may simply not be cut in a way that fits the customer well. Th ese problems are often difficult to anticipate when purchasing online. Moreover, there is no guaranteed consistency in sizing even for items of the same size. A medium in one style is not guaranteed to fit the same as a medium in a differen t style. Similarly, a size six dress in one style is not guaranteed to fit the s ame as another dress in size six. Even when sizing is roughly consistent for a p articular brand, there is no guaranteed consistency across different brands. In some scenarios, a professional human stylist assists in selecting the appropriat e size of products for customers. However, size selection is difficult for even a professional human stylist to accurately predict without being able to measure the customer. This difficulty is compounded for online retailers whose customer s may never physically meet a stylist. Therefore, there exists a need for a meth od to predict the size fit of an item for a particular individual.”
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