Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: During a communication session with a caller, a representative can enter information into a claim loss reporting tool to generate a loss report associated with an insurance claim. A dialogue advisor can cause the claim loss reporting tool to suggest questions that the representative should ask, and/or actions the representative should take, during the communication session. The dialogue advisor can make such suggestions, during the communication session, based at least in part on confidence levels of simulated destination predictions that correspond with destination predictions a claim router would make according to the same information associated with the loss report.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: Candidate function data can include data for multiple candidate functions that may indicate whether insurance claims are likely to involve certain issues, such as comparative negligence issues. A real-time claim identifier can use the candidate function data to determine, in near real-time, if claim data for a new insurance claim submitted to an insurance company satisfies at least one of the candidate functions. If the claim data satisfies at least one of the candidate functions, the insurance claim can be assigned to a corresponding destination in the insurance company, such as a department that processes comparative negligence claims, for further processing.

Abstract: Techniques described herein relate to training and executing machine learning models configured to determine injury probabilities based on vehicle accident data. In some cases, a decision tree model may be constructed including various branching criteria based on particular vehicle accident data and injury ground truth data, including leaf nodes storing corresponding injury probabilities. A model execution component may execute the trained models to determine the probability of potential injuries associated with vehicle accidents. Based on the potential injury probabilities, a vehicle accident analysis system may identify target computer systems and/or target processes to be initiated on the target systems, based on the injury probabilities. In some example, the model execution architecture may be implemented using an event-driven system and/or cloud-based data storage and services to receive, store, and process data events associated with individual vehicle accidents.

Abstract: Insurance claims can be assigned to different claim processing groups within an insurance company. A machine learning liability classifier can evaluate claim data for an insurance claim, to predict a likelihood that an insured party has either 0% or 100% liability. If the likelihood of the insured party having either 0% or 100% liability meets or exceeds a threshold, the insurance claim can be assigned directly to a non-complex claim processing group that processes relatively simple insurance claims. Otherwise, one or more downstream claim routing elements can further process the claim data to determine whether the insurance claim is to be assigned to the non-complex claim processing group or to a complex claim processing group that processes more complex insurance claims.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

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 property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

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: Variants of an application, such as user interface variants and/or logic variants, can be used in a production environment as part of a designed experiment. An experiment manager can cause the application to operate based on different variants for different users and/or instances of input data. Synchronous and/or asynchronous results can be collected that indicate impacts of the variants at the application and/or other downstream systems. Such asynchronous and/or synchronous results can be used to prove or disprove a hypothesis associated with the designed experiment.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: Candidate function data can include data for multiple candidate functions that may indicate whether insurance claims are likely to involve certain issues, such as comparative negligence issues. A real-time claim identifier can use the candidate function data to determine, in near real-time, if claim data for a new insurance claim submitted to an insurance company satisfies at least one of the candidate functions. If the claim data satisfies at least one of the candidate functions, the insurance claim can be assigned to a corresponding destination in the insurance company, such as a department that processes comparative negligence claims, for further processing.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.

Abstract: A claim assignment system can cause insurance claims to be assigned among different groups within an insurance company. The claim assignment system can have a rules engine and a machine learning engine that both recommend a group to which a claim can be assigned. The claim assignment system can be configured to select the group for the claim based on a recommendation from the machine learning model if a confidence level of the machine learning assignment recommendation meets or exceeds a threshold value, and otherwise select the group for the claim based on the assignment recommendation from the rules engine.

Abstract: A property analyzer device may include (1) a receiver configured to receive property identification information from a mobile device, the received property identification information including a picture of the property and/or a property location; (2) a retriever configured to retrieve property-related information from multiple property sources (such as public record databases, websites, or an internal company database) based upon the received property identification information; (3) a processor configured to consolidate the retrieved property-related information into a consolidated property-related image of the property; and (4) a transmitter configured to transmit the consolidated property-related image to the mobile device for review by a user.