Cooking management

• US 10,219,651 B2
• Filed: 12/01/2015
• Issued: 03/05/2019
• Est. Priority Date: 11/23/2011
• Status: Active Grant

• Current Assignee: Starbucks Corporation
• Original Assignee: Starbucks Corporation
• Inventors: Hulett, Randy, Koller, Izaak, Shay, Brian
• Primary Examiner(s): Obaid, Fateh M
• Application Number:
  US14/956,152
• Publication Number:
  US 20160143477A1
• Time in Patent Office: 1,190 Days
• Field of Search: None
• CPC Class Codes: A47J 36/00 Parts, details or accessories of cooking-vessels A47J27/00 - A47J33/00 take precedence insofar as these parts, details or accessories are restricted to a particular kind of cooking-vessel provided for in a single one of these groups
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

A cooking management system is described that identifies a customer and orders a product for the customer based at least on current temporal data. The cooking management system identifies customers associated with previous product requests that occurred during a predetermined range of time based at least on a comparison of current temporal data with temporal data associated with the previous product requests. The cooking management system causes presentation of identifiers of the identified customers on a display. Responsive to determining that the identifier for a particular customer has been selected, the cooking management system automatically causes a cooking device to prepare a product for the particular customer based at least on customer data associated with the particular customer.

Claims

1. A computer-implemented method for automatically causing a cooking device to prepare a product, the method comprising:

under control of one or more processors configured with specific computer-executable instructions, obtaining current temporal timing data;

comparing the current temporal timing data with temporal timing data associated with a plurality of previous product purchases;

identifying in real time, using the one or more processors, a customer associated with a previous product purchase of the plurality of previous product purchases that occurred within a predetermined range of time based at least in part on said comparing; and

automatically causing, by the one or more processors, a cooking device to automatically prepare a product for the customer based at least in part on customer data stored in a data storage device and associated with the identified customer.

2. The computer-implemented method of claim 1, wherein automatically causing the cooking device to automatically prepare the product for the customer is further based at least in part on the current temporal timing data.

3. The computer-implemented method of claim 1, wherein the predetermined range of time is a different day than the current temporal timing data.

4. The computer-implemented method of claim 1, wherein the predetermined range of time is based at least in part on at least one of time of day of the current temporal timing data, day of week of the current temporal timing data, and season of the current temporal timing data.

5. The computer-implemented method of claim 1, wherein the customer data comprises data regarding one or more previous product purchases associated with the customer and wherein requesting the product for the customer is further based at least in part on the one or more previous product purchases associated with the customer.

6. The computer-implemented method of claim 1, wherein the customer data comprises product preference data of the customer.

7. The computer-implemented method of claim 1, wherein the temporal timing data associated with the previous product purchase comprises data corresponding to a time at which the previous product purchase occurred.

8. The computer-implemented method of claim 1, wherein the data storage device stores temporal timing data associated with at least one thousand previous product purchases and stores customer data associated with at least one thousand customers.

9. The computer-implemented method of claim 1, wherein the comparing the current temporal timing data with the temporal timing data associated with the previous product purchase comprises determining that the previous product purchase occurred within the predetermined range of time.

10. The computer-implemented method of claim 1, wherein the cooking device comprises a coffee machine and the product comprises a coffee beverage.

11. A system, comprising:

a processor in communication with one or more content data stores comprising customer data associated with at least one customer, data regarding at least one previous product purchase, and temporal timing data associated with the at least one previous product purchase, wherein the processor is configured to;

obtain current temporal timing data;

compare the current temporal timing data with temporal timing data associated with the at least one previous product purchase;

identify in real time a customer associated with a previous product purchase of the at least one previous product purchase that occurred during a predetermined range of time based at least in part on the comparison; and

automatically request a product for the customer based at least in part on the customer data associated with the at least one customer; and

a cooking device in communication with the processor and configured to receive the request and automatically prepare the product for the customer based at least in part on the received request.

12. The system of claim 11, wherein the processor is further configured to automatically request the product for the customer based at least in part on the current temporal timing data.

13. The system of claim 11, wherein the predetermined range of time is a different day than the current temporal timing data and is based at least in part on at least one of time of day of the current temporal timing data, day of week of the current temporal timing data, and season of the current temporal timing data.

14. The system of claim 11, wherein the cooking device comprises a coffee machine.

15. Computer-readable, non-transitory storage media having computer-executable instructions for automatically causing a cooking device to prepare a product, that, when executed by one or more processors, cause the one or more processors to:

obtain first temporal data at a first time;

compare the first temporal data with temporal data associated with a plurality of previous product purchases;

identify in real time a customer associated with a previous product purchase of the plurality of previous product purchases that occurred during a predetermined range of time based at least in part on the comparison; and

automatically cause a cooking device to automatically prepare a product for the customer based at least in part on customer data associated with the customer.

16. The computer-readable, non-transitory storage media of claim 15, wherein the computer-executable instructions, when executed, further cause the one or more processors to automatically cause the cooking device to automatically prepare the product for the customer based at least in part on the first temporal data.

17. The computer-readable, non-transitory storage media of claim 15, wherein the predetermined range of time is a different day than the first temporal data and is based at least in part on at least one of time of day of the first temporal data, day of week of the first temporal data, and season of the first temporal data.

18. The computer-readable, non-transitory storage media of claim 15, wherein the cooking device comprises a coffee machine.