Inventory management computer system

• US 10,482,444 B2
• Filed: 01/19/2018
• Issued: 11/19/2019
• Est. Priority Date: 02/21/2017
• Status: Active Grant

• Current Assignee: Toshiba Tec Corporation (Toshiba Corporation)
• Original Assignee: Toshiba Tec Corporation (Toshiba Corporation)
• Inventors: Okamoto, Kentaro
• Primary Examiner(s): Ade, Garcia
• Application Number:
  US15/875,368
• Publication Number:
  US 20180240089A1
• Time in Patent Office: 669 Days
• Field of Search: 705 22
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 20/065 using e-cash
• CPC Class Codes: G06Q 20/203 Inventory monitoring
• CPC Class Codes: G06Q 20/40145 Biometric identity checks
• CPC Class Codes: G06Q 2220/00 Business processing using cryptography postage metering system using cryptography G06Q2250/05
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06V 40/16 Human faces, e.g. facial parts, sketches or expressions
• CPC Class Codes: H04L 9/50 using hash chains, e.g. blockchains or hash trees

Abstract

A computer system includes an inventory management server, a plurality of point-of-sale (POS) terminals communicating with the inventory management server over a first network, a face recognition computer having a camera communicating with the inventory management server over the first network, and a portable terminal communicating wirelessly with the inventory management server over a second network. The inventory management server is configured to generates alerts that are displayed on the portable terminal based on first data from the POS terminals and second data from the face recognition computer.

Claims

1. A computer system comprising:

an inventory management server;

a plurality of point-of-sale (POS) terminals communicating with the inventory management server over a first network;

a face recognition computer having a camera communicating with the inventory management server over the first network, wherein the face recognition computer is configured to extract feature data from images of customers captured by the camera and transmit the feature data to the inventory management server; and

a portable terminal communicating wirelessly with the inventory management server over a second network,

wherein the inventory management server is configured to;

track a quantity of each of a plurality of commodities that are on display for sale and update the quantity based on sales data received over the first network from the POS terminals;

identify customers from the feature data transmitted by the face recognition compute over the first network, retrieve historical purchase data of the identified customers, determine whether any of the commodities on display need to be replenished based on the updated quantity thereof and the historical purchase data of the identified customers; and

transmit an alert to the portable terminal over the second network, the alert indicating one or more of the commodities that need to be replenished.

2. The system according to claim 1, wherein the inventory management server includes:

a storage device that stores a customer master file that includes customer information for each of a plurality of customers, the customer information including customer identification information for identifying the customer using the feature value, and purchase history information of the customer including top three most purchased commodities of the customer, and a master commodity file that includes, for each of the plurality of commodities, the quantity of the commodity on display and a total inventory amount of the commodity;

a wireless communication interface; and

a processor configured to predict a commodity and a quantity thereof that a customer identified by the customer identification information is likely to purchase based on the purchase history information of the customer, determine whether a sufficient number of the predicted commodity is currently being displayed, and transmit, via the wireless communication interface, to the portable terminal the alert, the alert including a replenishment request indicating an additional number of the predicted commodity that needs to be displayed.

3. The system according to claim 2, wherein the processor is further configured to determine that the total inventory amount of the predicted commodity is greater than or equal to the additional number.

4. The system according to claim 2, wherein the processor is further configured to update the quantity of a commodity on display, which is stored in the commodity file, by an amount of the commodity sold as indicated in the sales data.

5. The system according to claim 2, wherein the processor is further configured to update the quantity of a commodity on display, which is stored in the commodity file, based on an image of a shelf where the commodity is displayed.

6. The system according to claim 2, wherein the customer information includes regular status information indicating whether the customer is a regular customer, and the processor is configured to determine that the customer is a regular customer prior to predicting the commodity and the quantity thereof that the customer is likely to purchase.

7. The system according to claim 1, wherein the master commodity file associates a first commodity with a second commodity that is commonly purchased by customers who purchase the first commodity, and the processor is further configured to predict the customer is likely to purchase the second commodity based on information received that the customer is carrying the first commodity.

8. An inventory tracking method, comprising:

receiving sales data at an inventory management server from a plurality of point-of-sale (POS) terminals over a first network;

receiving feature data at the inventory management server from a face recognition computer having a camera over the first network, wherein the feature data is extracted from images of customers captured by the camera;

tracking a quantity of each of a plurality of commodities that are on display for sale and updating the quantity based on sales data received over the first network from the POS terminals;

identifying customers from the feature data transmitted by the face recognition compute over the first network;

retrieving historical purchase data of the identified customers;

determining whether any of the commodities on display need to be replenished based on the updated quantity thereof and the historical purchase data of the identified customers; and

transmitting an alert wirelessly to a portable terminal over a second network, an alert indicating one or more of the commodities that need to be replenished.

9. The method according to claim 8, wherein the inventory management server includes:

a storage device that stores a customer master file that includes customer information for each of a plurality of customers, the customer information including customer identification information for identifying the customer using the feature value, and purchase history information of the customer including top three most purchased commodities of the customer, and a master commodity file that includes, for each of the plurality of commodities, the quantity of the commodity on display and a total inventory amount of the commodity;

a wireless communication interface; and

a processor configured to predict a commodity and a quantity thereof that a customer identified by the customer identification information is likely to purchase based on the purchase history information of the customer, determine whether a sufficient number of the predicted commodities commodity is currently being displayed, and transmit, via the wireless communication interface, to the portable terminal the alert, the alert including a replenishment request indicating an additional number of the predicted commodity that needs to be displayed.

10. The method according to claim 9, wherein the processor is further configured to determine that the total inventory amount of the predicted commodity is greater than or equal to the additional number.

11. The method according to claim 9, wherein the processor is further configured to update the quantity of a commodity on display, which is stored in the commodity file, by an amount of the commodity sold as indicated in the sales data.

12. The method according to claim 9, wherein the processor is further configured to update the quantity of a commodity on display, which is stored in the commodity file, based on an image of a shelf where the commodity is displayed.

13. The method according to claim 9, wherein the customer information includes regular status information indicating whether the customer is a regular customer, and the processor is configured to determine that the customer is a regular customer prior to predicting the commodity and the quantity thereof that the customer is likely to purchase.

14. The method according to claim 8, wherein the master commodity file associates a first commodity with a second commodity that is commonly purchased by customers who purchase the first commodity, and the processor is further configured to predict the customer is likely to purchase the second commodity based on information received that the customer is carrying the first commodity.