Systems and methods for managing electronic tip recommendations on mobile devices
The disclosed embodiments provide systems, methods, and techniques for managing merchandising cards. A merchandising card may be, for example, a gift card, loyalty card, or the like. Consistent disclosed embodiments, a system for managing merchandising cards may include one or more memory devices storing instructions and one or more processors configured to acquire, from a device over a network, a plurality of locations associated with the device, the device locations being acquired at different instances in time within a predetermined period of time. Additionally, the processor may be configured to calculate a merchant confidence rating for a merchant using the device locations. Further, the one or more processors may be configured to, based on the merchant confidence rating, determine that the merchant matches a merchant that is associated with merchandising card, and send a reminder a user of the device.
1. A user device for providing a tip recommendation, the user device comprising:
a camera;
a display;
one or more memory devices storing instructions; and
one or more processors configured to execute the stored instructions to:
capture, by the camera, an image associated with a receipt from a merchant;
display the image on the display;
determine, by performing image processing on the image, a merchant detail and a plurality of transaction details that are visually depicted on the receipt;
determine, based on the merchant detail, whether it is customary that tips are accepted by the merchant; and
if it is determined that it is customary that tips are accepted by the merchant:
determine a default tip parameter based on a characteristic;
determine a tip recommendation based on the default tip parameter and at least one of the transaction details; and
modify the displayed image to include the tip recommendation.
2. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
receive a request to change the tip recommendation based on a customer input, the request comprising a new tip recommendation; and
modify the displayed image by replacing the tip recommendation with the new tip recommendation.
3. The user device of claim 1 , wherein the characteristic is a tip percentage defined by a customer setting.
4. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
determine the characteristic based on historical tipping data of the customer.
5. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
determine the characteristic based on historical tipping data of the merchant.
6. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
determine the default tip parameter based on a machine learning algorithm, the machine learning algorithm being configured to receive as inputs at least one of historical tipping data of the customer, historical tipping data of the merchant, or a date of the transaction.
7. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
overlay the tip recommendation onto the image associated with the receipt.
8. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
determine the merchant detail and the transaction details according to a predetermined receipt format.
9. The user device of claim 8 , wherein the receipt format-defines specific areas where the transaction details occur.
10. The user device of claim 1 , wherein the one or more processors are further configured to execute instructions to:
save the tip recommendation.
11. An electronic system for providing a tip recommendation, the electronic system comprising:
one or more memory devices storing instructions; and
an electronic device in communication with the one or more memory devices, the electronic device comprising:
a display;
a camera positioned to view at least a part of a receipt from a merchant; and
one or more processors configured to execute the stored instructions to:
acquire data from the camera, the data being associated with an image of the receipt;
display the data on the display;
determine, by performing image processing on the image, a merchant detail and a plurality of transaction details that are visually depicted on the receipt;
determine, based on the merchant detail, whether it is customary that tips are accepted by the merchant; and
if it is determined that it is customary that tips are accepted by the merchant:
determine a default tip parameter based on a characteristic;
determine a tip recommendation based on the default tip parameter and at least one of the transaction details; and
update the displayed data to include the tip recommendation.
12. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
receive a request to change the tip recommendation based on a customer input, the request comprising a new tip recommendation; and
update the displayed data by replacing the tip recommendation with the new tip recommendation.
13. The electronic system of claim 11 , wherein the characteristic is a tip percentage defined by a customer setting.
14. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
determine the characteristic based on historical tipping data of the customer.
15. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
determine the characteristic based on historical tipping data of the merchant.
16. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
determine the default tip parameter based on a machine learning algorithm, the machine learning algorithm being configured to receive at least one of historical tipping data of the customer, historical tipping data of the merchant, or a date of the transaction.
17. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
determine the merchant detail and the transaction details according to a predetermined receipt format.
18. The electronic system of claim 17 , wherein the receipt format defines specific areas for the transaction details.
19. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
store the tip recommendation.
20. The electronic system of claim 11 , wherein the one or more processors are further configured to execute instructions to:
receive a final transaction amount from the merchant, wherein the final transaction amount comprises a final tip amount.