摘要
由Robotics&Machine Learning Daily News的新闻记者兼工作人员新闻编辑-根据NewsRx记者从弗吉尼亚州亚历山大市发回的新闻报道，发明者Fo Ley、Patrick（加利福尼亚州旧金山）、Klingenberg、Bradley J.（加利福尼亚州圣马特奥）、McDonnell、John（加利福尼亚州旧金山）于2017年12月20日提交的专利于2024年专利号11983748的受让人是Stitch Fix公司。(美国加利福尼亚州圣弗兰西斯科)。记者们从发明者提供的背景资料中获得了以下引文：“网上服装零售商的一个主要困难是如何完美地搭配一件商品。传统上，顾客订购她或他期望的尺寸，例如小的、中的或大的。”当从网上零售店购买物品时。零售商会将物品运送给预期的顾客。如果物品不合适，顾客通常必须将物品换成不同尺寸的物品。交换过程可能很耗时，可能需要多次尝试才能达到合适的尺寸。在某些情况下，即使经过多次尝试，一个好的搭配是不可能的。例如，库存可能没有合适的尺寸，或者物品可能根本没有以适合客户的方式削减。这些问题在网上购买时往往很难预料。此外，即使是同样尺寸的衣服，尺寸也不能保证一致。一种款式的中号衣服不能保证与另一种款式的中号衣服一样合身。同样，一种款式的6号衣服也不能保证与另一种6号衣服一样合身。即使一个特定品牌的尺寸大致一致，不同品牌之间的一致性没有保证。在某些情况下，专业的人体造型师会帮助客户选择合适的产品尺寸。然而，即使是专业的人体造型师，如果不能测量客户，也很难准确预测尺寸选择。对于那些客户可能永远不会与造型师见面的在线零售商来说，这种困难更加严重。因此，需要一种方法来预测一个项目对特定个人的大小拟合。
Abstract
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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