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公开(公告)号：US20220414697A1
公开(公告)日：2022-12-29
申请号：US17893264
申请日：2022-08-23
Applicant: TrueCar, Inc.
Inventor： Christopher James O'Keeffe , Michael D. Swinson , Ludovica Rizzo , Daniel Salazar
IPC: G06Q30/02 , G06Q10/08 , G06Q30/06 , G06F16/958
Abstract: Systems, methods and computer program products for selecting dealers based on characteristics of the dealers and the user. A vehicle data system collects dealer location and historical transaction data from external data sources and generates and stores an eligibility table that identifies a set of eligible dealers for each combination of user location and vehicle make. Eligible dealers are determined from the eligibility table using a location and vehicle make identified from a user request. Scores are determined for each eligible dealer based on a dealer scoring model using a binary choice model in the form of a logistic regression of market share, inventory, close rate, price and distance, and dealers are ranked by these scores. A presentation of dealers selected by rank and by closest location to the user is generated and provided to the user via an interface running on a computing device.
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公开(公告)号：US20210158382A1
公开(公告)日：2021-05-27
申请号：US17165584
申请日：2021-02-02
Applicant: TrueCar, Inc.
Inventor： Michael D. Swinson , Christopher James O'Keeffe , Daniel Salazar , Ludovica Rizzo
IPC: G06Q30/02 , G06F16/951
Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.
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公开(公告)号：US20190019131A1
公开(公告)日：2019-01-17
申请号：US16034176
申请日：2018-07-12
Applicant: TrueCar, Inc.
Inventor： Christopher James O'Keeffe , Michael D. Swinson , Ludovica Rizzo , Daniel Salazar
Abstract: Systems, method and computer program products for presenting to a user a visualization of a vehicle dealer performance assessment based on dealer location and vehicle sales transaction data, where the assessment is based on geographically normalized metrics. Dealer location data and historical vehicle sales transaction data is collected by a in a vehicle data system from external data sources. Distances from dealers to geographical regions of interest are determined, and differences between these distances are normalized to produce competition zone indices for the geographical regions. The competition zone indices are then used to aggregate the geographical regions into different competition zones in which dealers of interest have corresponding levels of competitive advantage or disadvantage, normalized according to typical distances associated with transactions in the respective geographical regions.
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公开(公告)号：US20190043071A1
公开(公告)日：2019-02-07
申请号：US16054808
申请日：2018-08-03
Applicant: TrueCar, Inc.
Inventor： Christopher James O'Keeffe , Michael D. Swinson , Ludovica Rizzo , Daniel Salazar
Abstract: Systems, methods and computer program products for selecting dealers based on characteristics of the dealers and the user. A vehicle data system collects dealer location and historical transaction data from external data sources and generates and stores an eligibility table that identifies a set of eligible dealers for each combination of user location and vehicle make. Eligible dealers are determined from the eligibility table using a location and vehicle make identified from a user request. Scores are determined for each eligible dealer based on a dealer scoring model using a binary choice model in the form of a logistic regression of market share, inventory, close rate, price and distance, and dealers are ranked by these scores. A presentation of dealers selected by rank and by closest location to the user is generated and provided to the user via an interface running on a computing device.
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公开(公告)号：US20180189812A1
公开(公告)日：2018-07-05
申请号：US15855542
申请日：2017-12-27
Applicant: TRUECAR, INC.
Inventor： Michael D. Swinson , Christopher James O'Keeffe , Daniel Salazar , Ludovica Rizzo
CPC classification number: G06Q30/0205 , G06F16/951 , G06Q30/0201
Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.
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Patent Agency Ranking
公开(公告)号：US20210110418A1
公开(公告)日：2021-04-15
申请号：US17129716
申请日：2020-12-21
Applicant: TrueCar, Inc.
Inventor： Christopher James O'Keeffe , Michael D. Swinson , Ludovica Rizzo , Daniel Salazar
IPC: G06Q30/02 , G06F16/958 , G06Q30/06 , G06Q10/08
Abstract: Systems, methods and computer program products for selecting dealers based on characteristics of the dealers and the user. A vehicle data system collects dealer location and historical transaction data from external data sources and generates and stores an eligibility table that identifies a set of eligible dealers for each combination of user location and vehicle make. Eligible dealers are determined from the eligibility table using a location and vehicle make identified from a user request. Scores are determined for each eligible dealer based on a dealer scoring model using a binary choice model in the form of a logistic regression of market share, inventory, close rate, price and distance, and dealers are ranked by these scores. A presentation of dealers selected by rank and by closest location to the user is generated and provided to the user via an interface running on a computing device.
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公开(公告)号：US10963897B2
公开(公告)日：2021-03-30
申请号：US15855542
申请日：2017-12-27
Applicant: TRUECAR, INC.
Inventor： Michael D. Swinson , Christopher James O'Keeffe , Daniel Salazar , Ludovica Rizzo
IPC: G06Q30/02 , G06F16/951
Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.
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公开(公告)号：US20240420169A1
公开(公告)日：2024-12-19
申请号：US18818998
申请日：2024-08-29
Applicant: TrueCar, Inc.
Inventor： Michael D. Swinson , Christopher James O'Keeffe , Daniel Salazar , Ludovica Rizzo
IPC: G06Q30/0204 , G06F16/951 , G06Q30/0201
Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.
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公开(公告)号：US12131345B2
公开(公告)日：2024-10-29
申请号：US17165584
申请日：2021-02-02
Applicant: TrueCar, Inc.
Inventor： Michael D. Swinson , Christopher James O'Keeffe , Daniel Salazar , Ludovica Rizzo
IPC: G06Q30/02 , G06F16/951 , G06Q30/0201 , G06Q30/0204
CPC classification number: G06Q30/0205 , G06F16/951 , G06Q30/0201
Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to determine or predict one or more metrics about participants in a network.
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公开(公告)号：US20220335359A1
公开(公告)日：2022-10-20
申请号：US17851612
申请日：2022-06-28
Applicant: TrueCar, Inc.
Inventor： Christopher James O'Keeffe , Michael D. Swinson , Ludovica Rizzo , Daniel Salazar
Abstract: Systems, method and computer program products for presenting to a user a visualization of a vehicle dealer performance assessment based on dealer location and vehicle sales transaction data, where the assessment is based on geographically normalized metrics. Dealer location data and historical vehicle sales transaction data is collected by a in a vehicle data system from external data sources. Distances from dealers to geographical regions of interest are determined, and differences between these distances are normalized to produce competition zone indices for the geographical regions. The competition zone indices are then used to aggregate the geographical regions into different competition zones in which dealers of interest have corresponding levels of competitive advantage or disadvantage, normalized according to typical distances associated with transactions in the respective geographical regions.
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