Abstract: A claim-based capitation model is proposed for handling vehicle repair insurance claims. Rather than determining a detailed estimate of the expected actual cost of repair, the estimate may be determined using a simpler model. For example, the insurance company and a repair facility may agree to following a predictive payment model in which the insurance company pays a fixed predicted capitated amount of money for each repair claim, regardless of the amount of repair work that will be needed. Alternatively, the insurance company may pre-pay a fixed capitated amount for a predicted number of future insurance claims.

Abstract: Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a vehicle, the request comprising a location of the vehicle. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the vehicle from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the vehicle. The computing device may instruct the UAV to collect damage information on the vehicle using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the vehicle based on the damage information collected by the UAV.

Abstract: Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the occurrence of the event, and for a second threshold amount of time after the event, determining whether a responsive object is involved in or near the event, in response to determining that the responsive object is involved in or near the event, transmitting the first data to the responsive object, and receiving, from the responsive object, second data, analyzing the first data and the second data to determine a party at-fault for the event, aggregating the first data and second data into an event report, and causing, automatically, a response to be initiated through an entity associated with the party at-fault.

Abstract: A system for a predictive claims computing platform may comprise a plurality of vehicles, a computing device associated with a repair facility, a network, and a server. The server may be configured to determine an insurance coverage type needed for repairing each vehicle in the plurality of vehicles, identify a location of the repair facility for repairing each vehicle, assign a standard amount to reimburse the repair facility for repairing each vehicle based on insurance coverage type and the location of the repair facility, transmit the standard amount to the computing device associated with the repair facility, receive from the computing device, a cost for actual repair of each vehicle after the actual repair for each vehicle has been completed, and adjust the standard amount to reimburse the repair facility for future repairs based on identifying a difference between the standard amount and the actual repair cost for each vehicle.

Abstract: Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture audio descriptions regarding the insured item. To aid in damage analysis, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages to similar items.

Abstract: A method for processing insurance claims including receiving, by a provider computing system, background data, generating, by the provider computing system, a damage prediction model based on the background data, receiving, from a customer device, a first insurance claim corresponding to a first storm, generating, by the provider computing system, a first storm damage prediction for the first storm, applying, by the provider computing system, the first storm damage prediction to the first insurance claim, receiving, from the customer device, a first corrected insurance claim based on storm damage data, and generating, by the provider computing system, a first updated damage prediction model based on the background data and the first corrected insurance claim.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems, methods apparatuses, and computer-readable media for analyzing vehicle accident claim information from a vehicle that is deemed a total loss, as well as historical data, to determine whether one or more parts from the vehicle are available for reuse is presented. In some examples, aspects may also relate to determining whether the parts available for reuse should be stored by the entity using the system (e.g., the insurance company) for future use in the repair of other vehicles, such as other vehicles insured by the insurance company, or should be sold. The determination to store or sell the part may be based, at least in part, on historical data of the entity.

Abstract: Event-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises identifying the occurrence of an event, storing first data corresponding to apparatus operation for a first threshold amount of time prior to the event, during the occurrence of the event, and for a second threshold amount of time after the event, determining whether a responsive object is involved in or near the event, in response to determining that the responsive object is involved in or near the event, transmitting the first data to the responsive object, and receiving, from the responsive object, second data, analyzing the first data and the second data to determine a party at-fault for the event, aggregating the first data and second data into an event report, and causing, automatically, a response to be initiated through an entity associated with the party at-fault.

Abstract: Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a vehicle, the request comprising a location of the vehicle. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the vehicle from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the vehicle. The computing device may instruct the UAV to collect damage information on the vehicle using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the vehicle based on the damage information collected by the UAV.

Abstract: A claim-based capitation model is proposed for handling vehicle repair insurance claims. Rather than determining a detailed estimate of the expected actual cost of repair, the estimate may be determined using a simpler model. For example, the insurance company and a repair facility may agree to following a predictive payment model in which the insurance company pays a fixed predicted capitated amount of money for each repair claim, regardless of the amount of repair work that will be needed. Alternatively, the insurance company may pre-pay a fixed capitated amount for a predicted number of future insurance claims.

Abstract: Aspects of the disclosure relate to using machine learning algorithms to analyze vehicle operational data associated with a vehicle accident. In some instances, an accident assessment server may receive data indicating that a vehicle was involved in an accident. The accident assessment server may compare the data with other known data, based on machine learning algorithms, to identify whether the accident resulted in a total loss. Responsive to determining that the accident resulted in the total loss, the accident assessment server may request further information regarding the vehicle and may identify a baseline value range for the vehicle. The accident assessment server may request updated information from the owner of the vehicle, identify, based on the updated information, a final value of the vehicle, and may pay the owner of the vehicle an amount corresponding to the final value if the final value is within the baseline value range.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: A system for a predictive claims computing platform may comprise a plurality of vehicles, a computing device associated with a repair facility, a network, and a server. The server may be configured to determine an insurance coverage type needed for repairing each vehicle in the plurality of vehicles, identify a location of the repair facility for repairing each vehicle, assign a standard amount to reimburse the repair facility for repairing each vehicle based on insurance coverage type and the location of the repair facility, transmit the standard amount to the computing device associated with the repair facility, receive from the computing device, a cost for actual repair of each vehicle after the actual repair for each vehicle has been completed, and adjust the standard amount to reimburse the repair facility for future repairs based on identifying a difference between the standard amount and the actual repair cost for each vehicle.

Abstract: Aspects of the disclosure relate to using machine learning algorithms to analyze vehicle operational data associated with a vehicle accident. In some instances, an accident assessment server may receive data indicating that a vehicle was involved in an accident. The accident assessment server may compare the data with other known data, based on machine learning algorithms, to identify whether the accident resulted in a total loss. Responsive to determining that the accident resulted in the total loss, the accident assessment server may request further information regarding the vehicle and may identify a baseline value range for the vehicle. The accident assessment server may request updated information from the owner of the vehicle, identify, based on the updated information, a final value of the vehicle, and may pay the owner of the vehicle an amount corresponding to the final value if the final value is within the baseline value range.

Abstract: Systems, methods, apparatuses and computer-readable media for analyzing vehicle claim information from a vehicle that is deemed a total loss to determine one or more parts that may be removed from the total loss vehicle for reuse is presented. In some arrangements, the parts identified for reuse may be identified prior to removal from the total loss vehicle and may be identified as available inventory and may include a future availability date. One or more repair shops may then request the parts available for reuse and the part may be reserved for that shop until it becomes available.

Abstract: Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. To aid in damage analysis, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages to similar items. Further still, the server may generate a payment for compensating a claimant for repair of the insured item.

Abstract: Systems and methods provide for configuring and transferring multiple data files including image data files using a mobile device. A mobile device may acquire multiple data files including image files from disparate sources and transmit them to an enhanced image processing server. The enhanced image processing server may analyze the received image files using various techniques. To aid in analysis, the server may also interface with various internal and external databases storing reference images or other reference data of previously analyzed similar data. Further still, the enhanced image processing server may transmit a result of the analysis back to a mobile device.

Abstract: Systems and methods for automatically detecting the damage that has occurred to an item and assessing the repairs needed to restore the item are provided. A notice of loss associated with a damaged item may be received. An apparatus may analyze the damaged item to determine damage information for any damage elements present on the damaged item. The damage information may be transmitted to a damage estimate server to determine a line-item cost estimate for the damaged item based on expected costs of repair for the damaged elements. The line-item cost estimate may then be presented to a repair service provider as an offer to repair the damaged item.