MOBILE DRIVE THRU ORDERING SYSTEM

• US 20140089061A1
• Filed: 03/15/2013
• Published: 03/27/2014
• Est. Priority Date: 09/25/2012
• Status: Abandoned Application

• Current Assignee: Christopher Joseph Vitale
• Original Assignee: Christopher Joseph Vitale
• Inventors: VITALE, Christopher Joseph
• Application Number:
  US13/838,092
• Publication Number:
  US 20140089061A1
• Time in Patent Office: Days
• US Class Current: 705/7.41
• CPC Class Codes: G06Q 20/204 comprising interface for record bearing medium or carrier for electronic funds transfer or payment credit
• CPC Class Codes: G06Q 20/3274 using a pictured code, e.g. barcode or QR-code, being displayed on the M-device
• CPC Class Codes: G06Q 20/3278 RFID or NFC payments by means of M-devices
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 50/12 Hotels or restaurants

Abstract

At least one embodiment relates to a mobile computing device having a processor programmed to take a plurality of food orders and programmed to aggregate these food orders into a single scannable source of information such as a 2D barcode. There can be a scanner such as a bar code scanner or a near field communicator configured to read this scannable source of information. There can also be a microprocessor in a computing device which is configured to read from the scanner a scanned aggregated order at a point of purchase location, wherein that microprocessor is programmed and configured to de-aggregate an order from this scanned communication. There can also be a transceiver is configured to send this de-aggregated information. There can also be a point of sale computing device 80 having a processor 81 configured to read this de-aggregated information and to ring up a scanned aggregated order to create an order for a purchase.

Claims

1. A computing system comprising:

a) a mobile computing device having a processor programmed to take a plurality of food orders and programmed to aggregate these food orders into a single scannable source of information comprising a 2d barcode;

b) a scanner configured to read this scannable source of information;

c) a microprocessor which is configured to read from the scanner a scanned aggregated order at a point of purchase location, wherein said microprocessor is programmed and configured to de-aggregate an order from this scanned communication;

d) a transceiver which is configured to send this de-aggregated information; and

e) a point of sale computing device having a processor configured to read this de-aggregated information and to ring up a scanned aggregated order to create an order for a purchase.

2. The computing system as in claim 1, wherein said mobile computing device is a telephone.

3. The computing system as in claim 1, wherein said scanner is a barcode scanner.

4. The computing system as in claim 1, wherein said scanner is a near field scanner.

5. The computing system as in claim 1, wherein said scanner is coupled to said point of purchase location.

6. A computerized process for processing an order for a restaurant comprising the following steps:

a) determining an identity of an enrolled user;

b) determining a location of the enrolled user;

c) determining a past history of purchases for the enrolled user;

d) determining a location of a point of purchase;

e) suggesting a purchase to the enrolled user;

f) receiving an order from the enrolled user;

wherein the step of suggesting a purchase comprises determining via a microprocessor a likely purchase order based upon an identity of the user, the location of the user, the past purchase history of the user, and the location of the point of purchase an presenting said suggestion to the enrolled user.

7. The computerized process as in claim 6, wherein said step of determining a location of an enrolled user comprises accessing the positioning coordinates of the user.

8. The computerized process as in claim 7, further comprising the step of determining a weather condition in said location of said enrolled user.

9. The computerized process as in claim 8, further comprising the step of determining a time of day before suggesting a purchase, and wherein said step of suggesting a purchase comprises suggesting a purchase based upon the identity of the enrolled user, the location of the enrolled user, the past purchase history of the enrolled user, the location of the point of purchase, the weather condition, at the location of the enrolled user and the time of day.

10. The computerized process as in claim 9, further comprising the step of electronically transmitting a coupon for a user for a purchase and displaying said coupon on a remote computing device.

12. The computerized process as in claim 11, further comprising the step of performing an electronic purchase of said suggested purchase and transmitting funds to compete said electronic purchase.

13. The computerized process as in claim 12, further comprising the step of determining a travel destination for said enrolled user, before said step of suggesting a purchase, and calculating via said microprocessor said suggested purchase based upon said travel destination for said enrolled user.

14. The computerized process as in claim 12, further comprising the step of determining a location of an event located in a predetermined location zone of said enrolled user, by determining a location of said event, determining a location of said enrolled user, and determining whether said enrolled user is located within said predetermined location zone of said event.

15. The computerized process as in claim 12, further comprising the step of determining if said enrolled user passed said location of said point of purchase.

16. The computerized process as in claim 15, wherein said step of electronically transmitting said coupon occurs after said step of determining if said enrolled user passed said location of said point of purchase.

17. A computerized process for analyzing a quality of a point of purchase location comprising the steps of:

a) identifying a location of a point of purchase;

b) determining a number of potential customers that pass said location of said point of purchase and storing said information in a database;

c) determining a number of registered potential customers that pass said location of said point of purchase, by reading a set of positioning coordinates of said registered potential customers;

d) determining a number of customers who purchase items from said point of purchase by reading a sales log;

e) determining a participation rate using a microprocessor by dividing said number of actual customers by said number of potential customers;

f) offering an incentive for a purchase to a plurality of said registered potential customers; and

g) determining a new participation rate for said customers using said microprocessor, comparing said number of actual customers to said number of potential customers.

18. The computerized process as in claim 17, further comprising the step of grading at least one quality of the point of purchase comprising at least one of:

service, marketing, product, and facilities.