Systems and methods for campaign offers and rewards with offer serving engine based on digitized receipt data
View Patent ↗A campaign offers and rewards system is provided. A receipt intelligence engine includes receipt processing that in operation extracts information about items purchased based on an image of a receipt from at least one of a shopping trip and an electronic receipt from an online or offline transaction. An analytics engine includes data intelligence coupled to the receipt processing and performs analysis of the receipt. In response to processing and analysis, an offer is then sold.
1. A method implemented at a server computer, the method comprising:
providing a user with an offer for a good or service;
processing an image of a physical receipt captured by an image capture device to extract data therefrom, wherein the image is a photo image or a scanned image, and wherein the extracted data includes a line item identifying a first good or service purchased from a first seller and a transaction identifier;
determining whether the line item corresponds to the offered good or service;
determining whether the transaction identifier corresponds to a previously received image; and
providing a compensation to the user in the event that the line item corresponds to the offered good or service and the transaction identifier does not correspond to a previously received image.
2. The method of claim 1 , further comprising:
notifying the user that the image is potentially fraudulent in the event that the transaction identifier corresponds to a previously received image.
3. The method of claim 1 , wherein the line item includes one or more of the following information: a price, a stock-keeping-unit number, or a universal product code.
4. The method of claim 1 , further comprising:
identifying one or more previously received images that are associated with the user;
calculating an average daily number of images received using the identified previously received images; and
notifying the user that the previously received images are potentially fraudulent when the average daily number exceeds a threshold value.
5. The method of claim 1 , further comprising:
identifying one or more previously received images that are associated with the user;
calculating an average compensation provided to the user for the identified previously received images; and
notifying the user that the previously received images are potentially fraudulent when the average compensation exceeds a threshold value.
6. A computer-readable storage medium having stored thereon executable instructions that, when executed by one or more processors of a computer system, cause the computer system to execute a method comprising:
providing a user with an offer for a good or service;
processing an image of a physical receipt captured by an image capture device to extract data therefrom, wherein the image is a photo image or a scanned image, and wherein the extracted data includes a line item identifying a first good or service purchased from a first seller and a transaction identifier;
determining whether the line item corresponds to the offered good or service;
determining whether the transaction identifier corresponds to a previously received image; and
providing a compensation to the user in the event that the line item corresponds to the offered good or service and the transaction identifier does not correspond to a previously received image.
7. The computer-readable storage medium of claim 6 , wherein the method further comprises:
notifying the user that the received image is potentially fraudulent in the event that the transaction identifier corresponds to a previously received image.
8. The computer-readable storage medium of claim 6 , wherein the line item includes one or more of the following information: a price, a stock-keeping-unit number, or a universal product code.
9. The computer-readable storage medium of claim 6 , wherein the method further comprises:
identifying one or more previously received images that are associated with the user;
calculating an average daily number of images received using the identified previously received images; and
notifying the user that the previously received images are potentially fraudulent when the average daily number exceeds a threshold value.
10. The computer-readable storage medium of claim 6 , wherein the method further comprises:
identifying one or more previously received images that are associated with the user;
calculating an average compensation provided to the user for the identified previously received images; and
notifying the user that the previously received images are potentially fraudulent when the average compensation exceeds a threshold value.
11. A computer system comprising:
a memory configured to store an image of a physical receipt captured by an image capture device, wherein the image is a photo image or a scanned image; and
a processor coupled to the memory and configured to:
provide a user with an offer for a good or service;
process the stored image to extract data therefrom, wherein the extracted data includes a line item identifying a first good or service purchased from a first seller and a transaction identifier;
determine whether the line item corresponds to the offered good or service;
determine whether the transaction identifier corresponds to a previously received image; and
provide a compensation to the user in the event that the line item corresponds to the offered good or service and the transaction identifier does not correspond to a previously received image.
12. The computer system of claim 11 , wherein the processor is further configured to:
notify the user that the stored image is potentially fraudulent in the event that the transaction identifier corresponds to a previously received image.
13. The computer system of claim 11 , wherein the line item includes one or more of the following information: a price, a stock-keeping-unit number, or a universal product code.
14. The computer system of claim 11 , wherein the processor is further configured to:
identify one or more previously received images that are associated with the user;
calculate an average daily number of images received using the identified previously received images; and
notify the user that the previously received images are potentially fraudulent when the average daily number exceeds a threshold value.
15. The computer system of claim 11 , wherein the processor is further configured to:
identify one or more previously received images that are associated with the user;
calculate an average compensation provided to the user for the identified previously received images; and
notify the user that the previously received images are potentially fraudulent when the average compensation exceeds a threshold value.