Prioritization of insurance requotations

    公开(公告)号:US11810196B1

    公开(公告)日:2023-11-07

    申请号:US16675430

    申请日:2019-11-06

    IPC分类号: G06Q40/08

    CPC分类号: G06Q40/08

    摘要: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

    Driving analysis based on movement data

    公开(公告)号:US11808604B2

    公开(公告)日:2023-11-07

    申请号:US17737401

    申请日:2022-05-05

    IPC分类号: G01C22/00

    CPC分类号: G01C22/00

    摘要: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

    SYSTEM FOR CAPTURING PASSENGER TRIP DATA AND A VEHICLE

    公开(公告)号:US20230252575A1

    公开(公告)日:2023-08-10

    申请号:US17986032

    申请日:2022-11-14

    IPC分类号: G06Q40/08 G07C5/08 G07C5/00

    摘要: Telematics and external data relating to the real-time driving of a driver of a taxi vehicle may be collected and used to calculate a driving score. A telematics device installed in the taxi vehicle may collect vehicle data, trip data, and passenger data from one or more sensors. A computing device in communication with the telematics device may calculate a driving score for the taxi vehicle during a trip based on a type of vehicle, a type of trip, a number of miles driven during the trip, a duration of the trip, a number of passengers in the taxi vehicle during the trip, and a type of the passengers in the taxi vehicle during the trip. As one example, the driving score may be provided to an employer of a driver of the taxi vehicle.

    Prioritization of insurance requotations

    公开(公告)号:US11138669B1

    公开(公告)日:2021-10-05

    申请号:US14327222

    申请日:2014-07-09

    IPC分类号: G06Q40/08

    摘要: A computer-assisted method for providing re-quotations for insurance coverage may include receiving a list of insurance leads corresponding to individuals who received a previous quotation for insurance coverage but did not purchase the insurance coverage and identifying a difference between the previous quotation and a new quotation. This difference may include an increase in offered insurance coverage and/or a reduction in cost. A computing device may calculate a probability for each of the individuals on the list using a regression model based, at least in part, on the identified difference. In some cases, the regression model may be associated with individual states. In other cases, the regression model may correspond to a plurality of states. The regression model may output a probability that a resident of a particular state will purchase insurance in response to a re-quotation for insurance coverage, where individuals may then be ranked based on the probability.

    Pre-calculated insurance premiums with wildcarding

    公开(公告)号:US10109014B1

    公开(公告)日:2018-10-23

    申请号:US14813741

    申请日:2015-07-30

    摘要: Systems and methods involving a rating module that accesses a single, voluminous table or multiple tables stored in a searchable data store (e.g., database) to execute various queries (e.g., SQL JOIN) to search the table(s) is disclosed. The system may include—an underlying linear programming platform (e.g., optimization engine and associated components) that includes an application programmer's interface (e.g., Python API) that may be used to perform optimization using illustrative optimization libraries (e.g., optimizer). The system may be communicatively coupled with a vehicle and/or other device to communicate/output ratings information to a user.

    Vehicle Telematics System to Promote Good Driving Behavior Using Positive Feedback and Award Points

    公开(公告)号:US20230316321A1

    公开(公告)日:2023-10-05

    申请号:US18132685

    申请日:2023-04-10

    IPC分类号: G06Q30/0226

    CPC分类号: G06Q30/0226

    摘要: A system and method are disclosed to promote good driving among users. A user-customizable good driving (GD) wish list may be created, populated, modified, and/or used to promote good driving. The GD wish list may be used in conjunction with a vehicle telematics unit (VTU) to monitor, process, detect, and/or record good driving events, and communicate and/or generate positive feedback for the user. In addition to positive feedback, good driving (GD) points may be accumulated based on driving behavior. The accumulated GD points may be used in conjunction with a product and/or service offering, such as by an insurance company. Furthermore, in some examples, the system encourages users to promote good driving behavior by pledging themselves to a challenging GD wish list that will earn them more GD points and the associated benefits.

    Streamlined Claims Processing with Non-Negotiable Payment for Repair and Repair Cost Feedback Loop

    公开(公告)号:US20230070094A1

    公开(公告)日:2023-03-09

    申请号:US14561918

    申请日:2014-12-05

    IPC分类号: G06Q40/00 G06Q10/06

    摘要: Systems and methods for processing insurance claims are provided. A notice of loss associated with a damaged item and damage information describing the damage may be received. Repair cost data may be retrieved based on the damage information received. A repair cost model may be configured based on the damage information and the repair cost data and used to generate a repair cost for repairing the damaged item. A non-negotiable payment amount may be selected based on the repair cost generated and included in a work order along with the damage information. The work order may be transmitted to a repair service provider that accepted the terms of the work order. Feedback may be received from the repair service provider that indicates an actual cost to repair the damaged item, and the repair cost data may be updated based on the feedback received.

    Geotribing
    9.
    发明授权

    公开(公告)号:US10733560B1

    公开(公告)日:2020-08-04

    申请号:US15963779

    申请日:2018-04-26

    摘要: A system and method for evaluating, scoring, and encouraging group performance towards a common goal is disclosed. In an embodiment, individuals of a group have an incentive to encourage other group members to drive better and achieve an improved overall driving score for the group. A group driving score is determined based on the driving performances of members of the group. The group may establish a driving score goal and work toward achieving that goal using real-time group reinforcement communications.

    Driving trip and pattern analysis
    10.
    发明授权

    公开(公告)号:US10553042B1

    公开(公告)日:2020-02-04

    申请号:US16193133

    申请日:2018-11-16

    摘要: A driving analysis server may be configured to receive vehicle location data and/or operation data from one or more vehicle systems, identify driving trips and/or driving patterns based on the vehicle data, determine risk assessment values corresponding to the driving trips and driving patterns, and calculate driver scores based on the analyzed driving trip and driving pattern data. Destination locations may be identified for a vehicle's driving trips, and information relating to the destination locations may be retrieved and analyzed to determine risk factors and risk assessment values associated with driving to and from the destination, as well as parking at the destination. Specific driving trip types or purposes may be identified, and driving scores may be calculated based on the vehicle location and time data, including the risk factors, risk assessment values, and the determined trip types or purposes.