Method and apparatus for customer specific based food preparation prediction

• US 8,175,917 B2
• Filed: 10/29/2008
• Issued: 05/08/2012
• Est. Priority Date: 04/16/2008
• Status: Active Grant

• Current Assignee: NCR Voyix Corporation
• Original Assignee: NCR Corporation
• Inventors: Flynn, Tracy L., Pasha, Alaa E.
• Primary Examiner(s): Gart, Matthew
• Assistant Examiner(s): Goyea, Olusegun
• Application Number:
  US12/260,349
• Publication Number:
  US 20090265216A1
• Time in Patent Office: 1,287 Days
• Field of Search: 705/26, 705/14.2, 705/15, 705/37, 705/26.81, 705/10, 705/26.7, 705/14.19, 709/203, 534/74, 219/681, 219/710, 219/702, 219/703
• US Class Current: 705/14
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 30/0222 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

A food preparation predicting system and method in one embodiment includes a detector for obtaining customer information, a memory including program instructions for obtaining customer information from the detector, associating the customer information with stored customer specific preference information, generating a pseudo-order based upon the associated preference information, generating food preparation information based upon the pseudo-order, and displaying the food preparation information, and a processor operably connected to the camera and the memory for executing the program instructions.

Claims

1. A system for generating food preparation prediction information comprising:

a detector for obtaining customer information prior to a customer reaching an ordering station;

a memory including program instructions for,

obtaining customer information from the detector,

associating the customer information with stored customer specific preference information,

generating a pseudo-order based upon the associated preference information,

generating food preparation information indicative of the number of products to be maintained in a staging area based upon the pseudo-order, and

displaying the food preparation information; and

a processor operably connected to the detector and the memory for executing the program instructions.

2. The system of claim 1, wherein the memory further includes program instructions for:

obtaining vehicle identification information from a camera arranged proximate a drive thru lane.

3. The system of claim 2, wherein the memory further includes program instructions for:

displaying the pseudo-order to the customer on a display at the ordering station;

receiving verification of the pseudo-order from the customer;

converting the pseudo-order to a food order; and

updating the food preparation information.

4. The system of claim 2, wherein the memory further includes program instructions for:

obtaining food order data;

assigning a confidence weight to the pseudo-order; and

generating the food preparation information based upon the weighted pseudo-order and the food order data.

5. The system of claim 2, wherein the memory further includes program instructions for:

obtaining staging area inventory data; and

generating the food preparation information based upon the obtained staging area inventory data.

6. The system of claim 1, wherein the memory further includes program instructions for:

associating the customer information with day specific customer specific preference information.

13. The system of claim 1 wherein the pseudo-order is used in predicting a number of products to be maintained in a staging area based on historical tendencies of a specific customer identified from the customer information.

14. The system of claim 1 wherein the image includes a license plate of the customer vehicle.

15. The system of claim 14 wherein the camera transmits image data for the image to the processor and customer identification further includes a number of passengers in the customer vehicle.

16. The system of claim 15 wherein the processor performs image analysis upon the image data to characterize the image, and creates and stores a record thereof.

17. The system of claim 16 wherein the processor controls a search of a customer preference database to determine if any stored records can be associated with the characterized image.

18. The system of claim 1, wherein the memory further includes program instructions for determining if stored customer specific preference information shows an ordering preference.

19. The system of claim 18, wherein the memory further includes program instruction for evaluating any determined ordering preference and establishing a weight for the pseudo-order.

20. The system of claim 1, wherein the food preparation information is further based upon at least one other pseudo-order and at least one actual order entered using one of a plurality of ordering terminals.

7. A method of predicting food preparation requirements comprising:

obtaining customer information utilizing a detector located to detect a customer prior to the customer reaching an ordering station;

associating the customer information with stored customer specific preference information from a customer database;

generating a pseudo-order based upon the associated preference information;

generating food preparation information indicative of the number of products to be maintained in a staging area based upon the pseudo-order utilizing a programmed processor; and

displaying the food preparation information on a display.

8. The method of claim 7, wherein:

obtaining customer information comprises obtaining vehicle identification information from a camera arranged proximate a drive thru lane.

9. The method of claim 8, further comprising:

displaying the pseudo-order to the customer on a display at the ordering station;

receiving verification of the pseudo-order from the customer;

converting the pseudo-order to a food order; and

updating the food preparation information.

10. The method of claim 8, wherein generating food preparation information comprises:

obtaining food order data;

assigning a confidence weight to the pseudo-order; and

generating the food preparation information based upon the weighted pseudo-order and the food order data.

11. The method of claim 10, wherein generating food preparation information further comprises:

obtaining staging area inventory data; and

generating the food preparation information based upon the obtained staging area inventory data.

12. The method of claim 7, wherein associating the customer information with stored customer specific preference information comprises;

associating the customer information with day specific customer specific preference information.