Integrated Meal Plan Generation and Supply Chain Management

Patent metadata

Field	Value
Publication number	US-2016379288-A1
Application number	US-201615192432-A
Country	US
Kind code	A1
Filing date	Jun 24, 2016
Priority date	Jun 29, 2015
Publication date	Dec 29, 2016
Grant date	—

Abstract

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.

First claim

What is claimed is:

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.

2 . The system of claim 1 , wherein the supply chain module is further effective to invoke direct shipment of the sample product and one or more other ingredients.

3 . The system of claim 1 , wherein the supply chain module is further effective to invoke direct shipment of the sample product and one or more other ingredients without shelving of the sample product at a retail establishment.

4 . The system of claim 3 , wherein the sample product is perishable and wherein the supply chain module is effective to invoke ordering and delivery within a usable lifetime of the sample product.

5 . The system of claim 4 , wherein the usable lifetime of the sample product is shorter than would permit shelving of the sample product at a retail establishment.

6 . The system of claim 5 , wherein the supply chain module is further effective to schedule shipping of the sample product for delivery within the usable lifetime of the sample product.

7 . The system of claim 1 , wherein the sample product is produce, the usable lifetime of the product after harvesting of the produce is less than a time required to shelve the sample product at a retail establishment.

8 . The system of claim 7 , wherein the supply chain module is further effective to generate an order for units of the sample product prior to a growing period of the product preceding the common date.

9 . The system of claim 1 , wherein the supply chain module is further effective to generate an order for units of the sample product on an order date such that the sample product can be delivered to the customers of the at least one cluster on the common date.

10 . The system of claim 1 , wherein the sample product is a tool to facilitate meal preparation.

11 . A method for supply chain management comprising:
maintaining, by a server system, a 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; analyzing, by the server system, the purchase histories and meal plan histories of the plurality of customers and identifying a plurality of clusters of customers having similar tastes based on similarities of the purchase histories and meal plan histories of the customers of the clusters of customers; selecting, by the server system, for at least one cluster of the plurality of clusters, a portion of the customers of the at least one cluster; identifying, by the server system, a sample product having sample products having similarity to the preferential fabrics of the customers of the at least one cluster meeting a threshold condition; invoking, by the server system, shipping of a sample product to the portion of the customers of the at least one cluster evaluating, by the server system, a response of the portion of the customers of the at least one cluster to the sample product; selecting, by the server system, 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 in response to determining that the response of the portion of the customers of the at least one cluster meets a threshold condition; invoking, by the server system, ordering and delivery of the sample product on the common date to the customers of the at least one cluster.

12 . The method of claim 11 , wherein invoking ordering and delivery of the sample product on the common date to the customers of the at least one cluster the supply chain module is further comprises invoking direct shipment of the sample product and one or more other ingredients.

13 . The method of claim 11 , wherein invoking ordering and delivery of the sample product on the common date to the customers of the at least one cluster the supply chain module is further comprises invoking direct shipment of the sample product and one or more other ingredients without shelving of the sample product at a retail establishment.

14 . The method of claim 13 , wherein invoking ordering and delivery of the sample product on the common date to the customers of the at least one cluster the supply chain module is further comprises invoking ordering and delivery within a usable lifetime of the sample product.

15 . The method of claim 14 , wherein the usable lifetime of the sample product is shorter than would permit shelving of the sample product at a retail establishment.

16 . The method of claim 14 , wherein the supply chain module is further effective to schedule shipping of the sample product for delivery within the usable lifetime of the sample product.

17 . The method of claim 11 , wherein the sample product is produce, the usable lifetime of the product after harvesting of the produce being less than a time required to shelve the sample product at a retail establishment.

18 . The method of claim 17 , wherein invoking ordering and delivery of the sample product on the common date to the customers of the at least one cluster the supply chain module further comprises generatin

Assignees

• Wal Mart Stores Inc

Inventors

• Wilkinson Bruce Walter
• Houchens Kimberly Sue

Classifications

• G06Q10/06311

  Scheduling, planning or task assignment for a person or group · CPC title

• G06F17/30598

  Physics · mapped topic

• G06Q10/083

  Shipping · CPC title

• G06Q30/0621 Primary

  by configuring or customising goods or services · CPC title

• G06Q30/0201

  Market modelling; Market analysis; Collecting market data · CPC title