Systems and methods for generating directional information

1 . A method for generating directional information, the method comprising:

detecting an occurrence of a first trigger event by monitoring inputs from a user;

upon detecting the occurrence of the first trigger event, generating, via one or more processors, a first search query based on a predicted object, wherein the predicted object is determined, via a first trained machine learning model, based on one or more of website data, historical user data, or user preference data;

determining, via a second trained machine learning model, a target object based on the first search query;

determining, via the second trained machine learning model, a recommended navigation path to the target object based on at least one of website data, historical user data, or user preference data;

generating a first graphical user interface (GUI) based on the recommended navigation path, the first GUI including an overlay over a first aspect of a website; and

causing to output, via a user interface, the first GUI.

2 . The method of claim 1 , wherein the first trigger event includes one or more of opening the website, selecting a link on the website, or entering a search on the website.

3 . The method of claim 1 , wherein upon detecting an occurrence of a first trigger event, the method further comprises:

obtaining, via the user interface, a request for the predicted object, the request associated with a user.

4 . The method of claim 1 , wherein the second trained machine learning model has been trained to learn associations between training data to identify an output, the training data including a plurality of: website data, historical user data, and user preference data.

5 . The method of claim 1 , wherein the website data includes at least one of user browsing history, site-specific data, or site-specific metadata.

6 . The method of claim 1 , wherein the historical user data includes at least one of prior searches associated with the website, previously viewed object reviews, or purchase history data.

7 . The method of claim 1 , wherein the user preference data includes at least one of user shopping preference data, user brand preference data, and object composition preference data.

8 . The method of claim 1 , further comprising:

obtaining user interaction data based on a user interaction with the first GUI;

generating a second GUI based on the user interaction with the first GUI; and

causing to display the second GUI via the user interface such that the second GUI is an overlay over a second aspect of the website.

9 . The method of claim 1 , wherein the determining the recommended navigation path includes:

determining one or more navigation paths to direct a user to the target object based on at least one of website data, historical user data, or user preference data; and

determining, via the second trained machine learning model, the recommended navigation path based on the one or more navigation paths.

10 . A system, the system comprising:

at least one memory storing instructions; and

at least one processor operatively connected to the at least one memory, and configured to execute the instructions to perform operations for generating directional information, the operations including:

detecting an occurrence of a first trigger event by monitoring inputs from a user;

upon detecting the occurrence of the first trigger event, generating, via one or more processors, a first search query based on a predicted object, wherein the predicted object is determined, via a first trained machine learning model, based on one or more of website data, historical user data, or user preference data;

determining, via a second trained machine learning model, a target object based on the first search query;

determining, via the second trained machine learning model, a recommended navigation path to the target object based on at least one of website data, historical user data, or user preference data;

generating a first graphical user interface (GUI) based on the recommended navigation path, the first GUI including an overlay over a first aspect of a website; and

causing to output, via a user interface, the first GUI.

11 . The system of claim 10 , wherein the first trigger event includes one or more of opening the website, selecting a link on the website, or entering a search on the website.

12 . The system of claim 10 , wherein upon detecting an occurrence of a first trigger event, the operations further include:

obtaining, via the user interface, a request for the predicted object, the request associated with a user.

13 . The system of claim 10 , wherein the second trained machine learning model has been trained to learn associations between training data to identify an output, the training data including a plurality of: website data, historical user data, and user preference data.

14 . The system of claim 10 , wherein the website data includes at least one of user browsing history, site-specific data, or site-specific metadata.

15 . The system of claim 10 , wherein the historical user data includes at least one of prior searches associated with the website, previously viewed object reviews, or purchase history data.

16 . The system of claim 10 , further comprising:

obtaining user interaction data based on a user interaction with the first GUI;

generating a second GUI based on the user interaction with the first GUI; and

causing to display the second GUI via the user interface such that the second GUI is an overlay over a second aspect of the website.

17 . The system of claim 10 , wherein the determining the recommended navigation path includes:

determining one or more navigation paths to direct a user to the target object based on at least one of website data, historical user data, or user preference data; and

determining, via the second trained machine learning model, the recommended navigation path based on the one or more navigation paths.

18 . A method for generating directional information, the method comprising:

detecting an occurrence of a first trigger event by monitoring inputs from a user, the first trigger event including one or more of opening a website, selecting a link on the website, or entering a search on the website;

upon detecting the occurrence of the first trigger event, generating, via one or more processors, a first search query based on a predicted object, wherein the predicted object is determined via a trained object prediction machine learning model, the predicted object based on at least one of website data, historical user data, or user preference data;

determining, via a trained target object machine learning model, a target object based on the first search query;

determining, via the trained target object machine learning model, a recommended navigation path to the target object based on at least one of website data, historical user data, or user preference data;

generating a first GUI based on the recommended navigation path, the first GUI including an overlay over a first aspect of the website; and

causing to output, via a user interface, the first GUI.