公开(公告)号：US20210342896A1

公开(公告)日：2021-11-04

申请号：US17377733

申请日：2021-07-16

Applicant: TRUECAR, INC.

Inventor： Michael Swinson ,  Lin O'Driscoll ,  Scott Painter

IPC: G06Q30/02

Abstract: Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. In certain embodiments, one or more models may be applied over a set of historical transaction data associated with a vehicle configuration to determine pricing data. Some models may leverage incremental data in various conditions, including cases where fewer than a desired number of historical transactions are present in the bin of a specified vehicle, where fewer than, equal to, or more than a certain number of list prices for the specified vehicle available, and where no historical transaction data for new models is available.

公开(公告)号：US12079830B2

公开(公告)日：2024-09-03

申请号：US17520191

申请日：2021-11-05

Applicant: TrueCar, Inc.

Inventor： Michael D Swinson ,  Lin O'Driscoll ,  Daniel Salazar ,  Ludovica Rizzo ,  Jacob LaCivita

IPC: G06Q30/00 ,  G06Q10/0637 ,  G06Q30/02 ,  G06Q30/0204 ,  G06Q30/06 ,  G05B19/418

CPC classification number: G06Q30/0205 ,  G06Q10/0637 ,  G06Q30/0278 ,  G06Q30/06

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 assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.

公开(公告)号：US20220318858A1

公开(公告)日：2022-10-06

申请号：US17848460

申请日：2022-06-24

Applicant: TrueCar, Inc.

Inventor： Pan Wu ,  Meghashyam Grama Ramanuja ,  Lin O'Driscoll ,  Michael D. Swinson

IPC: G06Q30/02

Abstract: Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

公开(公告)号：US11410206B2

公开(公告)日：2022-08-09

申请号：US14736900

申请日：2015-06-11

Applicant: TrueCar, Inc.

Inventor： Pan Wu ,  Meghashyam Grama Ramanuja ,  Lin O'Driscoll ,  Michael D. Swinson

IPC: G06Q30/02

Abstract: Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

公开(公告)号：US11107134B2

公开(公告)日：2021-08-31

申请号：US16866732

申请日：2020-05-05

Applicant: TRUECAR, INC.

Inventor： Michael Swinson ,  Lin O'Driscoll ,  Scott Painter

IPC: G06Q30/00 ,  G06Q30/02

Abstract: Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. In certain embodiments, one or more models may be applied over a set of historical transaction data associated with a vehicle configuration to determine pricing data. Some models may leverage incremental data in various conditions, including cases where fewer than a desired number of historical transactions are present in the bin of a specified vehicle, where fewer than, equal to, or more than a certain number of list prices for the specified vehicle available, and where no historical transaction data for new models is available.

公开(公告)号：US10262344B2

公开(公告)日：2019-04-16

申请号：US15674317

申请日：2017-08-10

Applicant: TrueCar, Inc.

Inventor： Michael Swinson ,  Lin O'Driscoll ,  Scott Painter

IPC: G06Q30/00 ,  G06F17/30 ,  G06Q30/02

Abstract: Embodiments of systems and methods for the aggregation, analysis, display and monetization of pricing data for commodities in general, and which may be particularly useful applied to vehicles are disclosed. In certain embodiments, one or more models may be applied over a set of historical transaction data associated with a vehicle configuration to determine pricing data. Some models may leverage incremental data in various conditions, including cases where fewer than a desired number of historical transactions are present in the bin of a specified vehicle, where fewer than, equal to, or more than a certain number of list prices for the specified vehicle available, and where no historical transaction data for new models is available.

公开(公告)号：US20150363838A1

公开(公告)日：2015-12-17

申请号：US14736900

申请日：2015-06-11

Applicant: TrueCar, Inc.

Inventor： Pan Wu ,  Meghashyam Grama Ramanuja ,  Lin O'Driscoll ,  Michael D. Swinson

IPC: G06Q30/02

CPC classification number: G06Q30/0278

Abstract: Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

Abstract translation: 本文公开的系统和方法的实施例提供了用于从头开始（原始数据）预测车辆发票定价，修剪和选项的方法，将原始数据转换为可操作的数据，并且全面地探索可以匹配车辆制造商建议的所有可能的选项组合 零售价（MSRP）。 实施例实施确定车辆修剪的算法，并智能地分析将导致目标MSRP的所有可能的选项组合，同时避免搜索不必要的车辆配置。 这些算法可用于根据车辆的VIN和MSRP来预测车辆的修剪，发票和选项。

公开(公告)号：US12198164B2

公开(公告)日：2025-01-14

申请号：US17848460

申请日：2022-06-24

Applicant: TrueCar, Inc.

Inventor： Pan Wu ,  Meghashyam Grama Ramanuja ,  Lin O'Driscoll ,  Michael D. Swinson

IPC: G06Q30/02

Abstract: Embodiments of systems and methods disclosed herein provide solutions for predicting vehicle invoice pricing, trim, and options by starting from scratch (raw data), transforming the raw data into actionable data, and comprehensively exploring all possible option combinations that can match a vehicle's Manufacturer Suggested Retail Price (MSRP). Embodiments implement algorithms that determine the trim of a vehicle and intelligently analyze all possible option combinations that would result in a target MSRP while avoid searching unnecessary vehicle configurations. The algorithms can be used to predict the trim, invoice, and options of a vehicle based on the vehicle's VIN and MSRP.

公开(公告)号：US20240378630A1

公开(公告)日：2024-11-14

申请号：US18778565

申请日：2024-07-19

Applicant: TrueCar, Inc.

Inventor： Michael D. Swinson ,  Lin O'Driscoll ,  Daniel Salazar ,  Ludovica Rizzo ,  Jacob LaCivita

IPC: G06Q30/0204 ,  G06Q10/0637 ,  G06Q30/02 ,  G06Q30/06

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 assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.

公开(公告)号：US20220058673A1

公开(公告)日：2022-02-24

申请号：US17520191

申请日：2021-11-05

Applicant: TrueCar, Inc.

Inventor： Michael D. Swinson ,  Lin O'Driscoll ,  Daniel Salazar ,  Ludovica Rizzo ,  Jacob LaCivita

IPC: G06Q30/02 ,  G06Q10/06 ,  G06Q30/06

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 assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.