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    • 2. 发明申请
    • SYSTEMS AND METHODS TO FORECAST AND IMPROVE PRODUCT ON-SHELF AVAILABILITY
    • 系统和方法预测和改进产品的可用性
    • US20170039498A1
    • 2017-02-09
    • US15229574
    • 2016-08-05
    • Wal-Mart Stores, Inc.
    • Aaron J. VasgaardJeffrey S. CruzRobert J. TaylorSayak S. Majumdar
    • G06Q10/06G06Q10/04G06N5/04
    • G06Q10/06313G06N20/00G06Q10/04G06Q10/063116
    • Methods, systems and apparatus are provided in predicting an On-Shelf-Availability (OSA) and/or implementing modifications to achieve a desired OSA. Some embodiments provide a system, comprising: A system comprising: an OSA control system comprising a control circuit that executes instructions from a memory to cause the control circuit to: receive a future OSA goal at the multiple shopping facilities; receive predicted workloads corresponding to the defined period of time and predicted to be assigned to the multiple shopping facilities; determine a forecasted OSA as a function of the predicted workloads relative to the planned work force availability at the shopping facilities to complete the work tasks at each of the shopping facilities; and determine whether the forecasted OSA is predicted to be within an OSA threshold of the OSA goal as a function of the predicted workloads relative to planned work force availability at the shopping facilities.
    • 提供方法,系统和装置来预测货架可用性(OSA)和/或实施修改以实现期望的OSA。 一些实施例提供一种系统,包括:一种系统,包括:OSA控制系统,其包括控制电路,所述控制电路执行来自存储器的指令以使所述控制电路:在所述多个购物设施处接收未来的OSA目标; 接收与定义的时间段对应的预测工作量,并预计分配给多个购物设施; 根据预期的工作量确定预测的OSA,相对于购物设施的计划的工作人员可用性来完成每个购物设施的工作任务; 并且确定预测的OSA是否被预测为在OSA目标的OSA阈值内,作为相对于在购物设施处的计划的工作力可用性的预测工作量的函数。
    • 3. 发明申请
    • CUSTOMER-TRIGGERED STORE MANAGEMENT
    • 客户触发的商店管理
    • US20160350787A1
    • 2016-12-01
    • US15164025
    • 2016-05-25
    • Wal-Mart Stores, Inc.
    • Robert J. TaylorAaron J. VasgaardJeffrey S. CruzSayak S. MajumdarChristopher S. Hoheisal
    • G06Q30/02G06Q10/08
    • G06Q30/0223G06Q10/087
    • In some embodiments, systems, apparatus and methods are disclosed that utilize customer feedback to obtain store intelligence and automatically respond to the customer without the need to involve a store associate or employee, thereby allowing employees to continue on with other tasks. For example, customers may provide feedback for a particular product not on the shelves and be advised that it is being pulled (if it is on-site, such as in a back room), or offered the opportunity to order the product or advised of an alternate on-site or off-site location where the product can be found. The system, method or apparatus may also identify products the store should add to its assortment of products based on such customer inquiries and/or may take automated actions in response (e.g., generating pick requests, generating orders for products, reporting potential new products to add to offerings, etc.).
    • 在一些实施例中,公开了系统,装置和方法,其利用客户反馈来获得商店智能并且自动地响应于客户,而不需要涉及商店员工或员工,从而允许员工继续执行其他任务。 例如,客户可能会对不在货架上的特定产品提供反馈意见,并告知它正在拉动(如果是在现场,如在后台),或提供订购产品或建议的机会 可以找到产品的替代现场或非现场位置。 系统,方法或装置还可以基于这种客户查询来识别商店应该添加到其分类的产品中的产品和/或可以采取自动化操作(例如,生成选择请求,产生产品订单,向潜在的新产品报告 添加到产品等)。