Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.

Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.

Abstract: A method of identifying a vehicle total loss claim includes retrieving a plurality of historical vehicle records, labeling the records as repaired or total loss, calculating mean cost values, training a regression model, optimizing a probability threshold, analyzing a plurality of inputs to generate a prediction, and transmitting the prediction. A computing system includes a transceiver; a processor; and a memory storing instructions that, when executed by the processor, cause the computing system to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when the prediction is total loss, generate a settlement offer. A non-transitory computer readable medium containing program instructions that when executed, cause a computer to receive answers, transmit the answers, receive a prediction, when the prediction is repairable, generate a repair suggestion, and when prediction is total loss, generate a settlement offer.

Abstract: This technology relates to providing a web-based digital claims platform to provide users with a simple and customized experience when filing insurance claims. The platform is enabled by a plurality of back-end application programming interface (API) resources. These API resources are event-driven (e.g., when an “event” associated with the claim occurs, the status of the claim changes and the API is provided with updated information indicative of the change). The platform includes a customized user interface (UI) that tailors the claim experience to a particular user's needs. The customization can be based off of stated user preferences and/or learned user preferences associated with the user's past behavior. A user can perform/request various services through the customized UI's self-service function (e.g., rent a car, find a hotel room, select a repair shop, etc.). Additionally, the customized UI can enable the user upload documents, track claim status, find relevant help topics, etc.