System and method for roadside assistance provider selection based on demand

A roadside assistance provider selection system comprising:

• a processing device in communication with a network and receiving a roadside assistance request from a mobile device, the roadside assistance request comprising at least a geographic location;
• and
• a non-transitory database for a plurality of roadside assistance providers each associated with a corresponding service area;
• wherein the processing device executes one or more instructions that cause the processing device to perform the operations of:
• receiving, for each of a subset of the plurality of roadside assistance providers associated with the service area, a predicted probability of acceptance of providing the requesting roadside assistance;
• calculating, at a boost value prediction model, a boost value for at least one of the plurality of roadside assistance providers, wherein the boost value is based on one or more predicted values received from a plurality of prediction models, wherein each of the one or more predicted values corresponds to an aspect of providing the requested roadside assistance;
• selecting, based on the boost value and the one or more predicted values, a roadside assistance provider to provide the requested roadside assistance in response to the roadside assistance request;
• and
• altering, based on feedback information associated with the selected roadside assistance provider providing the requested roadside assistance, the boost value prediction model.

One or more tangible non-transitory computer-readable storage media storing computer-executable instructions for performing a computer process on a server of a network, the computer process comprising the method of:

• receiving, based on receiving a roadside assistance request and for each of a plurality of roadside assistance providers associated with a service area corresponding to the roadside assistance request, a predicted probability of acceptance of providing the requesting roadside assistance;
• calculating, at a boost value prediction model, a boost value for at least one of the plurality of roadside assistance providers, wherein the boost value is based on one or more predicted values received from a plurality of prediction models, wherein each of the one or more predicted values corresponds to an aspect of providing the requested roadside assistance;
• selecting, based on the boost value and the one or more predicted values, a roadside assistance provider to provide the requested roadside assistance in response to the roadside assistance request;
• and
• altering, based on feedback information associated with the selected roadside assistance provider providing the requested roadside assistance, the boost value prediction model.