发明名称 Integrated Meal Plan Generation and Supply Chain Management
摘要 A customer profile for each user of a plurality of users is generated based on purchase history and reception of meals by the each user. A preferential fabric for each user is generated based on attributes of ingredients and dishes preferred by the user according to the user's customer profile. Users are clustered together according to the similarities of the preferential fabrics thereof. A sample product is selected based on its attributes having a high correspondence to the preferential fabrics of the users of a cluster. The sample product is transmitted to a portion of the users of the cluster and a response thereto is evaluated. In response to positive reception, direct shipment of the sample product to the cluster is invoked, bypassing a retail store. The sample product may therefore have a shelf life shorter than required to stock the sample product in a conventional retail store.
申请公布号 US2016379288(A1) 申请公布日期 2016.12.29
申请号 US201615192432 申请日期 2016.06.24
申请人 Wal-Mart Stores, Inc. 发明人 Wilkinson Bruce Walter;Houchens Kimberly Sue
分类号 G06Q30/06;G06Q30/02;G06Q10/08;G06Q10/06;H04L29/08;G06F17/30 主分类号 G06Q30/06
代理机构 代理人
主权项 1. A system for supply chain management comprising: a server system comprising one or more processors and one or more memory devices operably coupled to the one or more processors, the one or more memory devices storing executable and operational code effective to execute a supply chain engine comprising— a customer knowledge database storing for each customer of a plurality of customers, a purchase history of items purchased by the each customer and a meal plan history of meal plans executed by the each customer;a customer characterization module effective to identify, for each customer of the plurality of customers, a preferential fabric of the each customer, the preferential fabric including common attributes of the items of the purchase history of the each customer and ingredients of meal plans of the meal plan history of the each customer;a clustering module effective to analyze the preferential fabrics of the plurality of customers and meal plan histories of the plurality of customers and identify a plurality of clusters of customers, each cluster being identified as group of customers from the plurality of customers that have similar preferential fabrics;a sample module effective to (a) select, for at least one cluster of the plurality of clusters, a portion of the customers of the at least one cluster, (b) identify a sample product having similarity to the preferential fabrics of the customers of the at least one cluster meeting a threshold condition, (c) invoke shipping of a sample product to the portion of the customers of the at least one cluster, the sample product having attributes corresponding to the preferential fabrics of the customers of the at least one cluster and (d) evaluate a response of the portion of the customers of the at least one cluster to the sample product;a meal plan module effective to select the sample product for inclusion in a sample-using meal plan scheduled on a common date for the customers of the at least one cluster of the plurality of customer if the response of the portion of the customers of the at least one cluster meets a threshold condition;a supply chain module effective to invoke ordering and delivery of the sample product on the common date to the customers of the at least one cluster within a usable lifetime of the sample product, the sample product having a usable lifetime shorter than a time required to stock the sample product in a retail establishment for individual sale.
地址 Bentonville AR US