US 12,608,735 B2Granted

Systems and methods for providing customized recommendations via data analysis

AssigneeCapital One Services, LLC

InventorsRenee Gill, Michael Mossoba, Alex Hergenroeder

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Abstract

Disclosed embodiments may include a system for providing customized recommendations via data analysis. The system may receive transaction data associated with a user. The system may cause a user device associated with the user to display a notification prompting the user to provide image data. The system may receive the image data. The system may identify, from the image data via computer vision, first object(s). The system may generate, via an MLM, first item recommendation(s) based on the first object(s). The system may cause the user device to display, via the GUI, the first item recommendation(s). The system may receive type(s) of travel data. The system may generate, via the MLM, second item recommendation(s) based on the type(s) of travel data. The system may transmit, to a merchant system, a request to purchase at least one item at a predefined location based on the second item recommendation(s).

Claims20

Dependent claims

A system comprising:

one or more processors;
and
a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
receive transaction data associated with a user;
determine whether the user is planning an upcoming trip by:
identifying in the transaction data a merchant identifier associated with a location outside of a home location of the user;
and
determining a likelihood the user is planning the upcoming trip based on the location associated with the merchant identifier;
responsive to receiving the transaction data and determining the user is planning the upcoming trip, cause a user device associated with the user to display a notification, via a graphical user interface (GUI), prompting the user to provide first image data;
responsive to causing the user device to display the notification, receive, via an application comprising an image capture feature, the first image data;
identify, from the first image data via computer vision, one or more first objects by tagging and categorizing the one or more first objects in the first image data, wherein the one or more first objects comprise one or more items the user plans to bring on the upcoming trip;
generate, via a machine learning model (MLM), one or more first item recommendations based on the one or more first objects and historical transaction data associated with the user;
generate a graphical user interface (GUI) comprising the one or more first item recommendations;
transmit the GUI to the user device to display the one or more first item recommendations;
receive one or more types of travel data;
generate, via the MLM, one or more second item recommendations based on the one or more types of travel data;
and
transmit, to a merchant system, a request to purchase at least one item at a predefined location based on the one or more second item recommendations.

15 more elements

A system comprising:

one or more processors;
and
a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
receive first transaction data associated with a user;
responsive to receiving the first transaction data:
generate a graphical user interface (GUI) comprising a notification;
and
transmit the GUI to a user device associated with the user to display the notification thereby prompting the user to provide first image data via an image capture feature;
responsive to transmitting the GUI to the user device to display the notification, receive the first image data;
identify, from the first image data via computer vision, one or more first objects by tagging and categorizing the one or more first objects in the first image data;
generate, via a machine learning model (MLM), one or more first item recommendations based on the one or more first objects and customer preferences associated with the user by comparing the one or more first objects to items in a database;
modify the GUI to generate a modified GUI comprising the one or more first item recommendations;
transmit the modified GUI to the user device to display the one or more first item recommendations;
receive second transaction data associated with the user;
determine whether the user accepted any of the one or more first item recommendations based on the second transaction data, wherein the second transaction data is associated with a date after the one or more first item recommendations are transmitted to the user via the modified GUI;
generate, via the MLM, one or more second item recommendations based on the second transaction data and the accepted one or more first item recommendations;
and
cause the user device to display, via the GUI, the one or more second item recommendations.

15 more elements

A system comprising:

one or more processors;
and
a memory in communication with the one or more processors and storing instructions that, when executed by the one or more processors, are configured to cause the system to:
receive transaction data associated with a user;
determine whether the user is planning an upcoming trip by:
identifying in the transaction data a merchant identifier associated with a location outside of a home location of the user;
and
determining a likelihood the user is planning the upcoming trip based on the location and first transaction data associated with the merchant identifier;
in response to determining the user is planning the upcoming trip, generate, via a machine learning model (MLM) using a predefined database of items, one or more first item recommendations based on one or more of the transaction data, customer preferences, and historical transaction data associated with the user;
generate a graphical user interface (GUI) comprising the one or more first item recommendations;
transmit the GUI to a user device associated with the user to display the one or more first item recommendations;
receive one or more types of travel data;
generate, via the MLM, one or more second item recommendations based on the one or more types of travel data;
and
transmit, to a merchant system, a request to purchase at least one item at a predefined location based on the one or more second item recommendations.

12 more elements

Dependencies are inferred from the claim text.