System, method and computer program product for geo-specific vehicle pricing

    公开(公告)号:US10740776B2

    公开(公告)日:2020-08-11

    申请号:US15391563

    申请日:2016-12-27

    Applicant: TrueCar, Inc.

    Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

    System, method and computer program product for geo specific vehicle pricing

    公开(公告)号:US11532001B2

    公开(公告)日:2022-12-20

    申请号:US16888289

    申请日:2020-05-29

    Applicant: TrueCar, Inc.

    Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

    SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GEO SPECIFIC VEHICLE PRICING

    公开(公告)号:US20210042774A1

    公开(公告)日:2021-02-11

    申请号:US16888289

    申请日:2020-05-29

    Applicant: TrueCar, Inc.

    Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

    System, Method and Computer Program Product for Geo-Specific Vehicle Pricing

    公开(公告)号:US20170109768A1

    公开(公告)日:2017-04-20

    申请号:US15391563

    申请日:2016-12-27

    Applicant: TrueCar, Inc.

    CPC classification number: G06Q30/0206 G06Q30/02 G06Q30/0205

    Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

    SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR GEO-SPECIFIC VEHICLE PRICING

    公开(公告)号:US20230051349A1

    公开(公告)日:2023-02-16

    申请号:US17967571

    申请日:2022-10-17

    Applicant: TrueCar, Inc.

    Abstract: Disclosed are embodiments for the aggregation and analysis of vehicle prices via a geo-specific model. Data may be collected at various geo-specific levels such as a ZIP-Code level to provide greater data resolution. Data sets taken into account may include demarcation point data sets and data sets based on vehicle transactions. A demarcation point data set may be based on consumer market factors that influence car-buying behavior. Vehicle transactions may be classified into data sets for other vehicles having similar characteristics to the vehicle. A geo-specific statistical pricing model may then be applied to the data sets based on similar characteristics to a particular vehicle to produce a price estimation for the vehicle.

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