USE OF E-RECEIPTS FOR CONSUMPTION TRACKING

• US 20150032586A1
• Filed: 07/26/2013
• Published: 01/29/2015
• Est. Priority Date: 07/26/2013
• Status: Abandoned Application

• Current Assignee: Bank of America Corp.
• Original Assignee: Bank of America Corp.
• Inventors: Blackhurst, Jason P., Calman, Matthew A., Dintenfass, Katherine, Hanson, Carrie A., Bondesen, Laura C.
• Application Number:
  US13/952,362
• Publication Number:
  US 20150032586A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

Embodiments related to tracking consumer consumption for purchased items are included in systems that receive e-receipt data, including stack keeping unit (SKU) level data from a customer and compare the e-receipt data with transaction data. The systems identify transactions associated with one or more customer goals based on the SKU level data and calculate a first quantity of consumption for each of the identified transactions.

Claims

1. A system for tracking consumer consumption of purchased items, the system comprising:

a computer apparatus including a processor and a memory; and

a tracking software module stored in the memory, comprising executable instructions that when executed by the processor cause the processor to;

receive e-receipt data comprising stock keeping unit (SKU) level data from a customer, wherein the e-receipt data is associated with a first period of time;

compare the e-receipt data with transaction data;

identify transactions associated with one or more customer goals based on the SKU level data; and

calculate a first quantity of consumption for each of the identified transactions.

2. The system of claim 1, wherein the executable instructions further cause the processor to:

determine the level of influence that each transaction has on the one or more customer goals;

assign at least one weighted value to each of the transactions based on the level of influence.

3. The system of claim 2, wherein the executable instructions further cause the processor to:

provide a recommendation to the customer based on the weighted value and the one or more customer goals.

4. The system of claim 2, wherein the executable instructions further cause the processor to:

identify an overlapping transaction from the transactions that is assigned two or more weighted values, wherein each of the two or more weighted values are associated with different goals; and

determine that the first weighted value is greater than the second weighted value.

5. The system of claim 4, wherein the executable instructions further cause the processor to:

provide a recommendation to the customer based on the first weighted value.

6. The system of claim 4, wherein the executable instructions further cause the processor to:

provide a recommendation to the customer based on the second weighted value.

7. The system of claim 1, wherein the executable instructions further cause the processor to:

allow the user to synchronize one or more applications with the system;

import data from the one or more applications; and

assign at least one weighted value to each of the transactions based on the imported data.

8. The system of claim 1, wherein the executable instructions further cause the processor to:

receive customer input; and

identify the one or more customer goals based on the input.

9. The system of claim 1, wherein the executable instructions further cause the processor to:

calculate a second quantity of consumption associated with transactions occurring during a second period of time that predates the first period of time; and

compare the first quantity of consumption and the second quantity of consumption.

10. The system of claim 9, wherein the executable instructions further cause the processor to:

determine that the one or more customer goals have been reached based on the comparison of the first quantity of consumption and the second quantity of consumption.

11. The system of claim 9, wherein the executable instructions further cause the processor to:

determine that the one or more customer goals have not been reached based on the comparison of the quantities of consumption; and

provide a recommendation to the customer comprising transaction modifications.

12. A computer program product for tracking consumer consumption for purchased items, the computer program product comprising:

a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising;

computer readable program code configured to receive e-receipt data comprising stock keeping unit (SKU) level data from a customer, wherein the e-receipt data is associated with a first period of time;

computer readable program code configured to compare the e-receipt data with transaction data;

computer readable program code configured to identify transactions associated with one or more customer goals based on the SKU level data; and

computer readable program code configured to calculate a first quantity of consumption for each of the identified transactions.

13. The computer program product of claim 12, further comprising computer readable program code configured to determine the level of influence that each transaction has on the one or more customer goals and assign at least one weighted value to each of the transactions based on the level of influence.

14. The computer program product of claim 13, further comprising computer readable program code configured to identify an overlapping transaction from the transactions that is assigned two or more weighted values, wherein each of the two or more weighted values are associated with different goals, determine that the first weighted value is greater than the second weighted value.

15. The computer program product of claim 13, further comprising computer readable program code configured to provide a recommendation to the customer based on the first weighted value or the second weighted value.

16. The computer program product of claim 12, further comprising computer readable program code configured to calculate a second quantity of consumption associated with transactions occurring during a second period of time that predates the first period of time, compare the first quantity of consumption and the second quantity of consumption, determine that the one or more customer goals have not been reached based on the comparison of the quantities of consumption;

and provide a recommendation to the customer comprising transaction modifications.

17. A computer-implemented method for tracking consumer consumption for purchased items, the method comprising:

receiving e-receipt data comprising stock keeping unit (SKU) level data from a customer, wherein the e-receipt data is associated with a first period of time;

comparing, by a processor, the e-receipt data with transaction data;

identifying, by a processor, transactions associated with one or more customer goals based on the SKU level data; and

calculating, by a processor, a first quantity of consumption for each of the identified transactions.

18. The computer-implemented method of claim 17, further comprising:

determining, by a processor, the level of influence that each transaction has on the one or more customer goals; and

assigning, by a processor, at least one weighted value to each of the transactions based on the level of influence.

19. The computer-implemented method of claim 18, further comprising:

Identifying, by a processor, an overlapping transaction from the transactions that is assigned two or more weighted values, wherein each of the two or more weighted values are associated with different goals; and

determining, by a processor, that the first weighted value is greater than the second weighted value.

20. The computer-implemented method of claim 17, further comprising:

calculating, by a processor, a second quantity of consumption associated with transactions occurring during a second period of time that predates the first period of time; and

comparing, by a processor, the first quantity of consumption and the second quantity of consumption; and

determining, by a processor, that the one or more customer goals have been reached based on the comparison.