Computerized method and system for automating rewards to customers

• US 10,311,457 B2
• Filed: 03/25/2015
• Issued: 06/04/2019
• Est. Priority Date: 03/25/2014
• Status: Active Grant

• Current Assignee: Nanyang Technological University
• Original Assignee: Nanyang Technological University
• Inventors: Liu, Siyuan, Han, Xiaogang, Shen, Zhiqi, Miao, Chunyan
• Primary Examiner(s): Sittner, Matthew T
• Application Number:
  US15/128,885
• Publication Number:
  US 20170140409A1
• Time in Patent Office: 1,532 Days
• Field of Search: None
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: G06V 40/20 Movements or behaviour, e.g. gesture recognition recognition of facial expressions G06V40/16
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal

Abstract

A computerized reward mechanism system is proposed which makes use both of presently collected data relating to the customer, and a database of historical data relating to the customer. Using this information, the system performs a customer preference analysis, which results in selecting rewards which are adapted to the customers'"'"' personal needs. In one form, the system is positioned at a shopping center, and includes cameras for recognising past customers by image processing. This may be done without requiring customers to participate in a process of signing up to use the system. The presently collected data include responses to questions put to the customer relating to his present shopping experience. Customer honesty is considered in the step of determining which rewards to offer the consumer, to encourage the consumers to express their feelings more clearly.

Claims

1. A computer system comprising:

a computer processor;

an interface; and

a data storage device, the data storage device storing;

for each of a plurality of customers a profile comprising historic data indicating a history of interaction with at least one retailer, and

program instructions operative to cause the processor;

to recognise that a customer is interacting with the at least one retailer;

to determine if the recognised customer is associated with one of the plurality of profiles stored in the data storage device;

to extract from the data storage device the historic data for the recognised customer if it is determined that the recognised customer is associated with one of the profiles stored in the data storage device;

to receive current data describing the present behaviour of the recognised customer and current data regarding a current shopping experience with the at least one retailer entered by the recognised customer via the interface;

to determine a current emotional state of the recognised customer during the current shopping experience based on the current data regarding the current shopping experience with the at least one retailer entered by the recognised customer via the interface; and

to use (i) the historic data, (ii) the current data describing the present behaviour of the recognised customer, (iii) the current emotional state of the recognised customer, and (iv) customer honesty associated with the current data regarding the current shopping experience and the current emotional state of the recognised customer to select, from among a predefined plurality of rewards, and provide a reward to be presented to the recognised customer.

2. A computer system according to claim 1, further comprising one or more cameras arranged to capture an image of the customer if the customer is in a geographical location associated with the at least one retailer,

the profile further storing at least one stored image of each of the customers,

the program instructions causing the processor to recognise that the customer is interacting with the at least one retailer by performing an image recognition process on an image captured by the one of more cameras using the stored images.

3. A computer system according to claim 1, wherein the program instructions are further operative to cause the processor to register the current data entered via the interface, to indicate the answers given by the said customer to questions.

4. The system of claim 2, wherein the one or more cameras record images indicating where in a shopping center associated with the at least one retailer the recognised customer goes, and wherein the current data describing the present behaviour of the recognised customer is based on the recorded images.

5. The system of claim 1, wherein the recognised customer is determined to be not associated with one of the plurality of profiles in the data storage device, the processor is configured to generate a new profile associated with the recognised customer, the new profile comprises data associated with an interaction of the recognised customer with the at least one retailer, wherein the new profile is stored in the data storage device to serve as the historic data for the recognised customer in a repeat visit.

6. A method for rewarding a customer of at least one retailer, the method comprising:

(a) to recognise that a said customer is interacting with the at least one retailer;

(b) to access a database which stores, for each of a plurality of customers a profile comprising historic data indicating a history of interaction of a respective customer with the at least one retailer;

(c) to determine if the recognised customer is associated with one of the plurality of profiles in the database;

(d) to extract from the database the historic data for the recognised customer if the recognised customer is associated with one of the plurality of profiles in the database;

(e) to receive current data from the customer comprising data describing the present behaviour of the recognised customer and current data regarding a current shopping experience with the at least one retailer entered by the recognised customer via the interface;

(f) to determine a current emotional state of the recognised customer during the current shopping experience based on the current data regarding the current shopping experience with the at least one retailer entered by the recognised customer via the interface;

(g) to use (i) the historic data, (ii) the current data describing the present behaviour of the recognised customer, (iii) the current emotional state of the recognised customer, and (iv) customer honesty associated with the current data regarding the current shopping experience and the current emotional state of the recognised customer to select, from among a predefined plurality of rewards, a reward to be presented to the customer; and

(h) to provide the selected reward to the recognised customer.

7. A method according to claim 6, further comprising capturing an image of the customers using one or more cameras arranged to capture an image of the customer if the customer is in a geographical location associated with the at least one retailer,

the profile further comprising at least one stored image of each of the customers,

step (a) being performed by performing an image recognition process on an image captured by the one or more cameras using the stored images.

8. A method according to claim 6, further comprising a step of using the historic data for the customer to determine whether or not to provide a reward to the recognised customer.

9. A method according to claim 6, wherein the current data comprises data indicating a region of the geographical location associated with a type of product, step (g) being performed to select a reward which is a product of said type.

10. The method of claim 6, wherein the recognised customer is determined to be not associated with one of the plurality of profiles in the database, further comprises generating a new profile associated with the recognised customer, the new profile comprises data associated with an interaction of the recognised customer with the at least one retailer, wherein the new profile is stored in the database to serve as the historic data for the recognised customer in a repeat visit.