Systems and methods for generating mobility insurance products using ride-sharing telematics data

    公开(公告)号:US11599947B1

    公开(公告)日:2023-03-07

    申请号:US16780507

    申请日:2020-02-03

    Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

    Systems and methods for generating mobility insurance products using ride-sharing telematics data

    公开(公告)号:US11544791B1

    公开(公告)日:2023-01-03

    申请号:US16780658

    申请日:2020-02-03

    Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

    TRANSPORTATION USAGE ANALYTICS SYSTEM AND METHOD USING GEOLOCATION

    公开(公告)号:US20220366509A1

    公开(公告)日:2022-11-17

    申请号:US17876316

    申请日:2022-07-28

    Abstract: The present embodiments may relate to systems for user mobility data analytics for a usage-based insurance platform. For instance, a user mobility analytics computing device may be configured to: (1) receive, from a user device, telematics data; (2) identify, from the telematics data, a plurality of trips; (3) identify, for each of the plurality of trips, a transportation mode based upon the telematics data; (4) build a trip database including the plurality of trips and trip data associated with each trip, the trip data including the transportation mode; (5) parse the trip data in the trip database to aggregate trip data associated with a particular transportation mode; (6) retrieve insurance policy data associated with an insurance policy and including a coverage type and a coverage amount; and (7) calculate an insurance premium based upon the aggregated trip data for the particular transportation mode and the insurance policy data.

    PROVIDING DATA ASSOCIATED WITH INSURED LOSSES

    公开(公告)号:US20220020095A1

    公开(公告)日:2022-01-20

    申请号:US17488600

    申请日:2021-09-29

    Abstract: A computer-implemented method for assessing damage to a plurality of properties is provided. After an occurrence of an event that is a potential cause of insured losses, image data depicting an aerial view of the properties may be received from an aerial platform. The image data may be processed to determine a subsequent condition of each property after occurrence of the event. Further, a damage severity level may be determined for each property, and used to display a map depicting different regions having properties with different respective damage severity levels.

    Systems and methods for hail damage verification on rooftops using computer vision and artificial intelligence

    公开(公告)号:US11222205B1

    公开(公告)日:2022-01-11

    申请号:US16825764

    申请日:2020-03-20

    Inventor: Brian N. Harvey

    Abstract: A computer system for verifying hail damage and/or detecting hail fraud, using computer vision and artificial intelligence, includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving at least one image of at least a portion of a rooftop; (ii) analyzing the image to identify a plurality of damaged locations; (iii) analyzing the damaged locations to determine a distance between each of the damaged locations, a size of each of the damaged locations, and a shape of each of the damaged locations; and (iv) determining whether the damaged locations are a result of actual hail damage based upon at least one of the distance between each of the damaged locations, the size of each of the damaged locations, and the shape of each of the damaged locations.

    Providing data associated with insured losses

    公开(公告)号:US11164263B1

    公开(公告)日:2021-11-02

    申请号:US16863748

    申请日:2020-04-30

    Abstract: A computer-implemented method for providing data associated with insured losses is presented. Data regarding an event that is a cause of the insured losses may be received. Respective indications of locations of properties insured by an insurance provider and sustaining the insured losses may be received. Image data from at least one image capturing device, where the image data is obtained from an aerial view of the properties and indicative of respective conditions of the properties, may be received. The image data may be processed to determine, for each property, an indication of the respective condition. The data associated with the insured losses may be provided via a user interface. The data associated with the insured losses may include (i) the respective indications of the locations of the properties, and (ii) the indications of the respective conditions of the properties.

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