IP Library Granted Patent US 11,037,119
Granted Patent B2
US 11,037,119 · App. 16/594,439 · Granted Jun 15, 2021

Architecture and associated methodology for data standardization and utilization in retail industry applications

Inventors: Vladimir Edelman (Carlsbad, CA); Trent Dethloff (San Diego, CA)
Assignee: Targetable Sciences, Inc.
G06Q20/20G06K7/10366G06Q10/06398G06Q30/0201G06Q30/0251G06Q30/0252G06Q30/06G06Q30/0641G06Q50/01G06Q99/00
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Quick Facts
Patent No.
US 11,037,119
App. No.
16/594,439
Granted
Jun 15, 2021
Kind
B2
Abstract

A system, method and server are described for creating customized, in-store customer experiences. In one embodiment, a method is described, comprising receiving proprietary retail data from a first retail establishment over a wide-area network, the proprietary retail data comprising customer purchasing information formatted in a first proprietary format, converting the proprietary retail data into a standard retail data format to produce standardized retail data, receiving an indication from the first retail establishment over the wide-area network that an event relating to the first retail establishment has occurred, and in response to receiving the indication, retrieving standardized retail data relating to the customer from a memory, and providing at least some of the standardized retail data related to the customer to the retail establishment for presentation to the customer.

Claims (59)

1. A method performed by an online server for providing standardized data to retail establishments, comprising:

creating an account associated with a retail establishment, the account comprising an identification of one or more electronic devices at the retail establishment's location;

receiving proprietary data related to a first customer of the retail establishment;

converting the proprietary data into a standardized format;

receiving a notification of an event occurring at the retail establishment involving the first customer;

generating a response to the notification, the response comprising at least some of the standardized data, the notification formatted in accordance with a first of the one or more electronic devices; and

sending the response to the retail establishment.

2. The method of claim 1 , wherein:

the proprietary data comprises point-of-sale (POS) data received from the retail establishment; and

the response comprises at least some of the standardized POS data.

3. The method of claim 1 , wherein the proprietary data comprises point-of-sale (POS) data received from the retail establishment, wherein generating the response comprises:

applying the POS data to business rules predefined by the retail establishment; and

generating the response in accordance with result of applying the POS data to business rules.

4. The method of claim 3 , wherein the business rules comprise a determination of a quantity of goods previously purchased by the first customer.

5. The method of claim 3 , wherein the business rules comprise a determination of a favorite product purchased by the first customer in the past, based on a number of products previously purchased by the first customer from the proprietary data, and the response comprises an order for the retail establishment to automatically provide the favorite product to the first customer.

6. The method of claim 1 , further comprising:

receiving an identification of the event that may occur at the retail establishment; and

receiving an identification of one or more actions to be performed when the event occurs;

wherein generating the response comprises performing the one or more actions when the event occurs.

7. The method of claim 1 , wherein the event comprises that a customer has paid or is about to pay for goods or services, and the proprietary data comprises a credit card number of the first customer, wherein the standardized response comprises the credit card number in the standardized format.

8. The method of claim 1 , wherein the proprietary data from the retail establishment comprises an identification of the first customer, the method further comprising:

retrieving proprietary customer information relating to the first customer from a social media webserver based on the identification in the proprietary data;

converting the proprietary customer information into a second standardized format;

wherein the standardized response comprises at least some of the proprietary customer information in the second standardized format.

9. The method of claim 1 , wherein the event comprises a retail customer entering the retail establishment, further comprising:

receiving an indication that the retail customer has entered the retail establishment and identifying information that identifies the first customer; and

in response to receiving the indication, obtaining the proprietary data, the proprietary data comprising information from a social media website associated with the first customer;

wherein the response comprises causing an electronic monitor at the retail establishment to display at least some of the information from the social media website.

10. A server for providing customized, instore shopping experiences for retail customers of a retail establishment, comprising:

a network interface for allowing communications over a wide-area network;

a memory for storing processor-executable instructions; and

a processor coupled to the network interface and the memory for executing the processor-executable instructions that cause the server to:

create an account associated with a retail establishment, the account comprising an identification of one or more electronic devices at the retail establishment's location;

receive proprietary data related to a first customer of the retail establishment;

convert the proprietary data into a standardized format;

receive a notification of an event occurring at the retail establishment involving the first customer;

generate a response to the notification, the response comprising at least some of the standardized data, the notification formatted in accordance with a first of the one or more electronic devices; and

send the response to the retail establishment.

11. The server of claim 10 , wherein:

the proprietary data comprises point-of-sale (POS) data received from the retail establishment; and

the response comprises at least some of the standardized POS data.

12. The server of claim 10 , wherein the proprietary data comprises point-of-sale (POS) data received from the retail establishment, wherein the processor-executable instructions for generating the response comprises instructions that cause the server to:

apply the POS data to business rules predefined by the retail establishment; and

generate the response in accordance with result of applying the POS data to business rules.

13. The server of claim 12 , wherein the business rules comprise a determination of a quantity of goods previously purchased by the first customer.

14. The server of claim 12 , wherein the business rules comprise a determination of a favorite product purchased by the first customer in the past, based on a number of products previously purchased by the first customer from the proprietary data, and the response comprises an order for the retail establishment to automatically provide the favorite product to the first customer.

15. The server of claim 10 , further comprising additional processor-executable instructions that cause the server to:

receive an identification of the event that may occur at the retail establishment; and

receive an identification of one or more actions to be performed when the event occurs;

wherein generating the response comprises performing the one or more actions when the event occurs.

16. The server of claim 10 , wherein the event comprises that a customer has paid or is about to pay for goods or services, and the proprietary data comprises a credit card number of the first customer, wherein the standardized response comprises the credit card number in the standardized format.

17. The server of claim 10 , wherein the proprietary data from the retail establishment comprises an identification of the first customer, further comprising additional processor-executable instructions that cause the server to:

retrieve proprietary customer information relating to the first customer from a social media webserver based on the identification in the proprietary data;

convert the proprietary customer information into a second standardized format;

wherein the standardized response comprises at least some of the proprietary customer information in the second standardized format.

18. The server of claim 10 , wherein the event comprises a retail customer entering the retail establishment, further comprising additional processor-executable instructions that cause the server to:

receive an indication that the retail customer has entered the retail establishment and identifying information that identifies the first customer; and

in response to receiving the indication, obtain the proprietary data, the proprietary data comprising information from a social media website associated with the first customer;

wherein the response comprises causing an electronic monitor at the retail establishment to display at least some of the information from the social media website.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Nov 20, 2024
From: WESTERN ALLIANCE BANK
To: TARGETABLE SCIENCES, INC.
Reel/Frame 069405/0721 →
SECURITY INTEREST Recorded Nov 13, 2024
From: TARGETABLE SCIENCES, INC.
To: MULTIPLIER CAPITAL III, LP, AS ADMINISTRATIVE AGENT AND COLLATERAL AGENT FOR THE LENDERS
Reel/Frame 069252/0073 →
SECURITY INTEREST Recorded Apr 8, 2024
From: TARGETABLE SCIENCES, INC.
To: WESTERN ALLIANCE BANK
Reel/Frame 067036/0718 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 7, 2021
From: HEROFI, INC.
To: TARGETABLE SCIENCES, INC.
Reel/Frame 056180/0944 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2021
From: EDELMAN, VLADIMIR; DETHLOFF, TRENT
To: HEROFI, INC.
Reel/Frame 055876/0608 →
Continuity (4)
Division 15356931 · Nov 21, 2016
Division 14954394 · Nov 30, 2015
Provisional Application 62171109 · Jun 4, 2015
Related Publication 20200034775A1 · Jan 30, 2020