Systems and Methods for the Display of Corresponding Content for User-Requested Vehicle Services Using Distributed Electronic Devices

A computing system comprising:

• one or more processors;
• and
• one or more non-transitory, computer-readable media storing instructions that are executable by the one or more processors to cause the computing system to perform operations, the operations comprising:
• obtaining data associated with a request for a vehicle service for a user;
• generating data associated with a vehicle service instance based on the request for the vehicle service for the user, wherein the data associated with the vehicle service instance is indicative of one or more locations associated with the vehicle service;
• generating, by a machine-learned model trained on historic data, a predicted user intention, wherein the machine-learned model determines the predicted user intention by:
• obtaining input data comprising the data indicative of the one or more locations associated with the vehicle service and time data as input;
• and
• generating the predicted user intention based on the obtained input data;
• based on the data associated with the vehicle service instance and the predicted user intention, determining a first advertisement content item for a display device positioned onboard a vehicle assigned to the vehicle service instance;
• based on determining the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service, determining a second advertisement content item that is related to the first advertisement content item for display via a user device associated with the vehicle service instance;
• communicating data that initiates the display of the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service instance;
• and
• communicating data that initiates the display of the second advertisement content item for the user device associated with the vehicle service instance.

A computer-implemented method, comprising:

• obtaining data associated with a request for a vehicle service for a user;
• generating data associated with a vehicle service instance based on the request for the vehicle service for the user, wherein the data associated with the vehicle service instance is indicative of one or more locations associated with the vehicle service;
• generating, by a machine-learned model trained on historic data, a predicted user intention, wherein the machine-learned model determines the predicted user intention by:
• obtaining input data comprising the data indicative of the one or more locations associated with the vehicle service and time data as input;
• and
• generating the predicted user intention based on the obtained input data;
• based on the data associated with the vehicle service instance and the predicted user intention, determining a first advertisement content item for a display device positioned onboard a vehicle assigned to the vehicle service instance;
• based on determining the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service, determining a second advertisement content item that is related to the first advertisement content item for display via a user device associated with the vehicle service instance;
• communicating data that initiates the display of the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service instance;
• and communicating data that initiates the display of the second advertisement content item for the user device associated with the vehicle service instance.

One or more non-transitory computer readable media storing instructions that are executable by one or more processors to perform operations comprising:

• obtaining data associated with a request for a vehicle service for a user;
• generating data associated with a vehicle service instance based on the request for the vehicle service for the user, wherein the data associated with the vehicle service instance is indicative of one or more locations associated with the vehicle service;
• generating, by a machine-learned model trained on historic data, a predicted user intention, wherein the machine-learned model determines the predicted user intention by:
• obtaining input data comprising the data indicative of the one or more locations associated with the vehicle service and time data as input;
• and
• generating the predicted user intention based on the obtained input data;
• based on the data associated with the vehicle service instance and the predicted user intention, determining a first advertisement content item for a display device positioned onboard a vehicle assigned to the vehicle service instance;
• based on determining the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service, determining a second advertisement content item that is related to the first advertisement content item for display via a user device associated with the vehicle service instance;
• communicating data that initiates the display of the first advertisement content item for the display device positioned onboard the vehicle assigned to the vehicle service instance;
• and communicating data that initiates the display of the second advertisement content item for the user device associated with the vehicle service instance.