Data processing system with machine learning engine to provide roadside assistance functions

A method, comprising:

• at a computing platform comprising at least one processor, memory, and a communication interface:
• receiving, by the at least one processor and via the communication interface, a request for roadside assistance;
• identifying, by the at least one processor and based on a channel through which the request for roadside assistance is received, a partner entity;
• identifying, by the at least one processor and based on the identified partner entity, a profile of the partner entity;
• generating, by the at least one processor, an interactive user interface based on the identified profile, the interactive user interface including a first portion and a second portion, the first portion including a plurality of selectable options for providing additional information related to the request for roadside assistance, the plurality of selectable options being generated based on the profile of the partner entity;
• receiving, by the at least one processor, selection of a first option of the plurality of selectable options in the first portion of the interactive user interface;
• identifying, by the at least one processor and based on at least the first option, data for display in the second portion;
• causing, by the at least one processor, the identified data for display in the second portion to be displayed in the second portion of the interactive user interface;
• generating, by the at least one processor and based on one or more machine learning datasets, a roadside assistance instruction, generating the roadside assistance instruction including identifying, based on the one or more machine learning datasets, a piece of equipment to dispatch in response to the request for roadside assistance;
• and
• executing, by the at least one processor, the roadside assistance instruction.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, memory, and a communication interface, cause the computing platform to:

• receive a request for roadside assistance;
• identify, based on a channel through which the request for roadside assistance is received, a partner entity;
• identify, based on the identified partner entity, a profile of the partner entity;
• generate an interactive user interface based on the identified profile, the interactive user interface including a first portion and a second portion, the first portion including a plurality of selectable options for providing additional information related to the request for roadside assistance, the plurality of selectable options being generated based on the profile of the partner entity;
• receive selection of a first option of the plurality of selectable options in the first portion of the interactive user interface;
• identify, based on at least the first option, data for display in the second portion;
• cause the identified data for display in the second portion to be displayed in the second portion of the interactive user interface;
• generate, based on one or more machine learning datasets, a roadside assistance instruction, generating the roadside assistance instruction including identifying, based on the one or more machine learning datasets, a piece of equipment to dispatch in response to the request for roadside assistance;
• and
• execute the roadside assistance instruction.