A portion of the disclosure of this patent document contains material that is subject to copyright protection. The copyright owner has no objection to the reproduction of the patent document or the patent disclosure, as it appears in the U.S. Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
The present disclosure relates generally to web-based systems and methods for providing and verifying vehicle information which is otherwise difficult to access or even unavailable, including providing comparative estimation based on underlying information regarding a particular vehicle. More particularly, the present disclosure relates to a host system and associated methods for producing and generating detailed information about the trim and optional equipment of a vehicle based on data provided from the vehicle manufacturer and a vehicle identifier provided from a third party entity such as a lender, dealer, auction or other consumer.
Currently, a vehicle has a vehicle identification number (VIN) that may provide basic information about the vehicle that has been coded into the VIN by a corresponding manufacturer. The information provided may include for example the country of origin, manufacturer, year of manufacture, manufacturing assembly plant, make and model, etc., but often is silent regarding the trim details and any upgrades related to the vehicle. This leaves the dealer, bank, customer, auction, and other entities having to visually verify items such as trim levels, transmission, optional packages, and/or other equipment for the vehicle, which may be quite difficult or even impossible to do in some cases where the vehicle is in another location and/or without knowing exactly what to look for and being willing to spend the time to look in the appropriate places. Often manufacturers have packages such as “sport” or “convenience” and trim levels such as “touring” or “grand touring” that can equate to hundreds or thousands of dollars in added value. Often they are not designated on the vehicle and are not coded in the VIN, leaving only a select number of individuals with detailed factory knowledge able to accurately identify or verify these vehicles, resulting often in misrepresentation or errors in determining value. Such errors and/or misrepresentations can lead to added exposure, risk, liability, and lost revenue to parties involved such as lenders, dealers and auctions.
As loan approvals, loan terms, pricing and buying decisions are determined from a value of the vehicle which relies to some extent on this information, it is crucial to accurately determine a vehicle's build information, trim details and optional equipment.
A hosted web-accessible system, computer program and methods are provided in accordance with various embodiments of the present disclosure for accurately generating vehicle build information such as trim and detailed equipment information for clients, which is comprehensive in that it includes information which is both coded and non-coded in the VIN and further both verifiable and non-verifiable via mere visual inspection of the vehicle. Comprehensive original vehicle data is obtained from vehicle manufacturers via a vehicle source interface, the data including a unique vehicle identifier for each of one or more vehicles associated with the respective source. A vehicle information request with a vehicle identifier is received from a client via a client request interface, and comprehensive original vehicle data is identified based on the unique identifier from the source and the identifier from the client request. A client response interface is generated for the purpose of, among other things, displaying the identified set of comprehensive original vehicle data.
In certain embodiments of the disclosure, a vehicle valuation is obtained from third party evaluators according to the vehicle request and based on the original vehicle data.
In further embodiments, supplemental data may be received from service providers and optionally presented as well.
Referring generally to
Where the various figures may describe embodiments sharing various common elements and features with other embodiments, similar elements and features are given the same reference numerals and redundant description thereof may be omitted below. Throughout the specification and claims, the following terms take at least the meanings explicitly associated herein, unless the context dictates otherwise. The meanings identified below do not necessarily limit the terms, but merely provide illustrative examples for the terms. The meaning of “a,” “an,” and “the” may include plural references, and the meaning of “in” may include “in” and “on.” The phrase “in one embodiment,” as used herein does not necessarily refer to the same embodiment, although it may.
Terms such as “providing,” “processing,” “supplying,” “determining,” “calculating” or the like may refer at least to an action of a computer system, computer program, signal processor, logic or alternative analog or digital electronic device that may be transformative of signals represented as physical quantities, whether automatically or manually initiated.
Referring first to
The system 10 is embodied by or within either of a central hosted server 12 or a plurality of servers 12 functionally linked and collectively defining a distributed host network (not shown). The server 12 as represented in
The term “computer-readable memory medium” as used herein may refer to any non-transitory medium 16 alone or as one of a plurality of non-transitory memory media 16 within which is embodied a computer program product 18 that includes processor-executable software, instructions or program modules which upon execution may provide data or otherwise cause a computer system to implement subject matter or otherwise operate in a specific manner as further defined herein. It may further be understood that more than one type of memory media may be used in combination to conduct processor-executable software, instructions or program modules from a first memory medium upon which the software, instructions or program modules initially reside to a processor for execution.
“Memory media” as generally used herein may further include without limitation transmission media and/or storage media. “Storage media” may refer in an equivalent manner to volatile and non-volatile, removable and non-removable media, including at least dynamic memory, application specific integrated circuits (ASIC), chip memory devices, optical or magnetic disk memory devices, flash memory devices, or any other medium which may be used to stored data in a processor-accessible manner, and may unless otherwise stated either reside on a single computing platform or be distributed across a plurality of such platforms. “Transmission media” may include any tangible media effective to permit processor-executable software, instructions or program modules residing on the media to be read and executed by a processor, including without limitation wire, cable, fiber-optic and wireless media such as is known in the art.
The term “processor” as used herein may refer to at least general-purpose or specific-purpose processing devices and/or logic as may be understood by one of skill in the art, including but not limited to single- or multithreading processors, central processors, parent processors, graphical processors, media processors, and the like.
The host server 12 may be accessible by or otherwise linked to various external and third party platforms via a communications network 34 and in accordance with these links is effective to collect, obtain, receive, transmit and/or share data using various communications protocols as are well known in the art. The term “communications network” 34 as used herein with respect to data communication between two or more parties or otherwise between communications network interfaces associated with two or more parties may refer to any one of, or a combination of any two or more of, telecommunications networks (whether wired, wireless, cellular or the like), a global network such as the Internet, local networks, network links, Internet Service Providers (ISP's), and intermediate communication interfaces as are known in the art.
The term “platform” as used herein may typically refer to a website, network, or alternative but equivalent interfaces for supporting multimedia interactivity consistent with the described features of the present disclosure.
The I/O platform 22 represented in
A “client” as referred to herein may refer to any entity obtaining or seeking to obtain vehicle information utilizing the system and associated features of the present disclosure, including without limitation lenders, dealers, auction offices, auto evaluators, insurance agencies, automobile websites, law enforcement agencies or officers, individual consumers, etc.
A “vehicle source” may typically refer to a vehicle manufacturer but may further refer to any entity providing verifiable and comprehensive original vehicle data in accordance with the present disclosure.
“Comprehensive original vehicle data” as used throughout this description includes all vehicle data which is made available by the source and is relevant to the vehicle build data, trim, any optional detail information, vehicle valuation, etc., and generally includes information which is both coded and non-coded with respect to the vehicle identifier, and verifiable or non-verifiable by a user. Examples of such vehicle data may include standard information such as without limitation year, make and model of the vehicle. Other examples include factory information such as without limitation equipment, trim details, color, transmission details, drive train, factory packages, and factory options. Other examples include drivetrain information such as without limitation whether the vehicle is a four-wheel drive (4WD), a two-wheel drive (2WD, automatic 4WD, or all-wheel Drive (AWD). A “vehicle service provider” may typically refer to any party that provides supplemental vehicle data such as current aftermarket replacements, upgrades, and the like with respect to a vehicle. A service provider may be the manufacturer itself, or more typically may be a third party. Such third parties may in various embodiments of the present disclosure be able to provide supplemental vehicle data, but this data may typically be separated from the original data and identified as being less reliable than data from the vehicle source, and even made optional for viewing by clients of the system, as further described below.
A vehicle manufacturer may associate a Vehicle Identification Number (VIN) as a unique identifier of a particular manufactured vehicle. The VIN may be coded by the manufacturer according to one or more vehicle attributes, as known in the art. For example, information such as vehicle manufacturer country, region, or world manufacturer identifier may be included. The vehicle's make, mole, engine, weight, year, manufacturing plant, or vehicle description (e.g., to identify attributes such as model, body style, engine, etc.) may be included. One or more digits may provide a vehicle identification section relating to plant and other values, such as production number. The manufacturer generates a unique VIN for a particular car based on the combination of vehicle attributes and a possible sequence number.
However, it is not possible for a vehicle manufacturer to code all vehicle attributes in the VIN. As such, to sufficiently describe or value a particular vehicle, additional information must be known. In one exemplary embodiment, a vehicle manufacturer creates non-coded vehicle information relating to one or more attributes not coded in a VIN. The non-coded vehicle information is associated with a unique vehicle in one exemplary embodiment. Additionally or alternatively, at least a portion of non-coded vehicle information may relate to a plurality of vehicles sharing a common attribute, such as in the case of a non-VIN code trim package. The vehicle manufacturer may store or cause to be stored the non-coded vehicle information, and/or may convey the non-coded vehicle information to one or more external receivers, either together with the coded vehicle information, or separate from the coded vehicle information. In one exemplary embodiment, the coded and non-coded vehicle information is generated by the vehicle manufacturer at or around the time of vehicle manufacture.
Referring now to
In step 102, a host server receives, collects, imports, or otherwise obtains comprehensive original vehicle data directly from a vehicle source (typically the respective manufacturer) to ensure the accuracy of the associated information. The data may be obtained periodically from the source, for example at predetermined intervals, or simply as determined by the source such as where new data has become available. Generally speaking, the vehicle data may be transmitted via the communications network to a dedicated interface (e.g., secured web page, email address, etc.) in the form of an electronic data file, but alternatively may be simply made available for collection from a database residing on a source platform by program modules operating from the host server or otherwise executed by the host system on or within the source platform.
Typically, the comprehensive original vehicle data will include or be provided in association with a unique vehicle identifier, such as for example a VIN.
The data may upon importation or collection by the host system then be stored in a database (step 104). In various embodiments, the original data may be raw data from the source which is converted by the host system into a universal format for storage in a collective database. The raw data may be obtained using a predetermined format which merely requires the host system to parse, collate, arrange, etc., the data in order to properly store it within the database. Alternatively, the host system may require the use of algorithms or equivalent programmed functions to identify or characterize the raw data prior to storage. In some embodiments, each source/manufacturer may send raw data in a unique format which is configured to facilitate population of an intended client interface that is particular to the source, such as for example including source-specific trademarks, etc.
In certain embodiments of a host system within the scope of the present disclosure, vehicle service providers such as for example authorized dealers and the like may be allowed to provide supplemental (aftermarket) data to the system via a service provider interface. Where for example a service provider has modified, upgraded or removed some component as originally provided with respect to a particular vehicle, supplemental data may be provided to the system along with the unique vehicle identifier and then stored in the database alongside the comprehensive original vehicle data. The supplemental data will typically be stored in auxiliary portions of the database and not for example over or in place of the original data.
The supplemental data may further be stored in association with a service provider identifier. The particular service provider may in an embodiment be associated by the host system with a reliability score or the equivalent, so as to indicate the likelihood that the information is correct and complete based on prior dealings and/or client comments/feedback, or as a potential reflection on the quality of the vehicle itself after having received aftermarket servicing from that particular service provider, again based on prior dealings and/or client feedback. Algorithms for scoring the service providers, or interfaces for client feedback and association thereof with the particular service providers, may be executed by the host system automatically upon receipt of supplemental data or via a trigger where for example the service provider has previously received negative feedback or otherwise scored below a threshold value.
The client-specific portion of the process or in other words that related to a specific transaction or client request begins with step 106, wherein the host system receives a vehicle information request from a client via a dedicated interface (e.g., web page, pop-up data field, email address, etc.). The request typically shall include a vehicle identifier associated with the vehicle for which information is sought, and vehicle data corresponding with the particular vehicle may thereby be identified and retrieved from the database by matching the client-provided identifier with the unique identifier stored in association with the data. The vehicle identifier may be electronically scanned at the client end and submitted to the system interface, or alternatively manually entered via keystrokes and the like, equally within the scope of the present disclosure. Where the identifier is to be electronically scanned, the client-side hardware and associated software module necessary to generate the electronic identifier from (for example) the physical bar code is not itself generally associated with the host system of the present disclosure and further description is omitted herein as redundant.
In certain embodiments within the scope of the present disclosure, the system may generate a client response interface within or upon which is displayed at least a subset of the comprehensive original vehicle data for the identified vehicle (that which is associated with the vehicle identifier provided by the client), but not valuations or supplemental data. Such an embodiment may be optimal for an auction house, automobile website, or an equivalent client entity having no need of third party evaluations of the vehicle's value, or no desire to obtain potentially unreliable supplemental data from third party service providers. However, in other embodiments as are contemplated by a method 100 as represented in
Where a client has requested a vehicle valuation from the system (i.e., “yes” in response to the query in step 108), it may further be determined whether a third party book evaluator is available to provide valuation with respect to the identified vehicle (step 110). In some embodiments, this step may be redundant where the system is configured to provide all valuations internally and without the option of obtaining such valuations from an external source. In either event, where no evaluator is available or otherwise provided by the system for client selection (i.e., “no” in response to the query in step 110), the method 100 continues to step 112 and generates a vehicle valuation based on the comprehensive original vehicle data stored in the database. Program instructions or program modules which may be executed by the system to determine the value may include proprietary algorithms with respect to the host but are not so limited within the scope of the present disclosure.
In some embodiments, the system may generate or determine a first vehicle valuation based on the original data and further determine a second vehicle valuation which is based on the original data and any available supplemental data, such that either may be displayed for the client based on client selection.
Where one or more evaluators are available and provided by the system (in for example a list) for client selection (i.e., “yes” in response to the query in step 110), the method 100 continues to step 114 and receives client input data representative of third party evaluator selection or identification. The system then obtains a vehicle valuation from the one or more evaluators selected or otherwise identified by the client (step 116).
As a first example of how the vehicle valuation may be obtained by the host system, a data field may be generated which includes the comprehensive original vehicle data (and in some embodiments any supplemental data) and then transmitted to the selected one or more third party evaluators. The vehicle identifier may in some cases be provided as well, but typically the vehicle data alone will be sufficient. The evaluator may then populate the data field with any additional requested or required information, including vehicle valuation data. The vehicle valuation data may include a vehicle valuation and any other data which may be useful or available with respect to the particular evaluator, or as requested by the system. The vehicle valuation data may include for example a first vehicle valuation based on the original data and a second vehicle valuation which is based on the original data and any available supplemental data, such that either may be displayed for the client based on client selection.
In a second example, the data field is generated by the system as described above. However, rather than transmitting the data field itself to the evaluator, the system may generate and transmit a valuation request to the selected third parties via the dedicated interface (e.g., web page, email, direct download, etc.), with the request comprising at least a portion of the comprehensive original vehicle data as determined to be relevant for valuation by the particular evaluators. The system may then receive the requested vehicle valuation data from the third party in any of a number of available formats, and subsequently populates the data field with a vehicle valuation based on the received vehicle valuation data, or otherwise stores the vehicle valuation data or a valuation derived therefrom in the database.
In a third example, the data field is generated as described above and then transmitted to the one or more selected/identified third party evaluators. Rather than return the data field to the host, the evaluator may simply provide the requested vehicle valuation data via for example an email or the like. The host receives the vehicle valuation data and then populates the data field with a vehicle valuation based on the received vehicle valuation data, or otherwise stores the valuation in the database in association with the original vehicle data.
The method 100 as represented in
If supplemental data is available (i.e., “yes” in response to the query of step 118), the method proceeds to step 120 and indicates to the client the presence of supplemental data associated with the identified vehicle. The system may further indicate the service provider that was the source of the supplemental data, and where supplemental data has been provided from more than one service provider, each provider may for example be listed. If the system is programmed or configured to determine a reliability score or otherwise collect feedback regarding the various service providers, such information may be provided as well for review by the client.
In step 122, the client may then provide input to the system representative of selection or rejection of one or more of the service providers and associated supplemental data for inclusion in the final report or displayed results, wherein the method 100 proceeds to step 124 as described above.
The system may be configured to receive and compare sets of information from a plurality of sources. The system may be further configured to compare at least a portion of the sets of information to one another and/or to known correct information. A result of the comparison may be conveyed to a requesting client. As part of the comparison, a set of known information known by each of the plurality of sources may be matched against each source. The result of the comparison may include an indication of the results of the matching process, including one or more errors associated with a specific of the plurality of sources relating to known information.
A vehicle valuation process may include comparing known information to at least one of a set of common information between third parties or a set of distinguishing information between third parties. The process may include obtaining a vehicle valuation for the identified set of vehicle data from a plurality of third party evaluators via the communications network, identifying a common set of information relating to the identified set of vehicle data from each of the plurality of third party evaluators, identifying a distinguishing set of information relating to the identified set of vehicle data from each of the plurality of third party evaluators, and generating the client response interface displaying the vehicle valuation in association with the identified set of comprehensive original vehicle data, the identified common set of information, and the identified distinguishing set of information.
For example, a first of three sources may erroneously identify a particular model, thereby impacting that source's estimated insurance or valuation estimate. A reader of the results would clearly recognize this difference, and at least one of a user or the system may compensate accordingly (e.g., by discrediting a source having incorrect information or by excluding that source from the results presented to a client). Additionally or alternatively, the system may recognize a source having superior vehicle information as compared to another source, and may highlight a more accurate estimate in the report.
The previous detailed description has been provided for the purposes of illustration and description. Thus, although there have been described particular embodiments of the present disclosure of a new and useful “Web-Based System and Method for Providing Comprehensive Vehicle Build Information,” it is not intended that such references be construed as limitations upon the scope of this disclosure except as set forth in the following claims
This application is a continuation-in-part of U.S. patent application Ser. No. 13/297,438, filed on Nov. 16, 2011 and titled “Web-based System and Method for Providing Comprehensive Vehicle Build Information,” which claimed benefit of and priority from: U.S. Provisional Patent Application No. 61/415,207, filed on Nov. 18, 2010, each of which is hereby incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
4989144 | Barnett, III | Jan 1991 | A |
5120704 | Lechter et al. | Jun 1992 | A |
5201010 | Deaton et al. | Apr 1993 | A |
5216612 | Cornett et al. | Jun 1993 | A |
5488360 | Ray | Jan 1996 | A |
5532838 | Barbari | Jul 1996 | A |
5630070 | Dietrich et al. | May 1997 | A |
5748098 | Grace | May 1998 | A |
5765143 | Sheldon et al. | Jun 1998 | A |
5819234 | Slavin et al. | Oct 1998 | A |
5878403 | DeFrancesco | Mar 1999 | A |
5940812 | Tengel et al. | Aug 1999 | A |
5950169 | Borghesi et al. | Sep 1999 | A |
5963129 | Warner | Oct 1999 | A |
5995947 | Fraser et al. | Nov 1999 | A |
6006201 | Berent et al. | Dec 1999 | A |
6038554 | Vig | Mar 2000 | A |
6052065 | Glover | Apr 2000 | A |
6052068 | Price R-W et al. | Apr 2000 | A |
6076064 | Rose, Jr. | Jun 2000 | A |
6126332 | Cubbage et al. | Oct 2000 | A |
6154152 | Ito | Nov 2000 | A |
6182048 | Osborn et al. | Jan 2001 | B1 |
6208979 | Sinclair | Mar 2001 | B1 |
6236977 | Verba et al. | May 2001 | B1 |
6278936 | Jones | Aug 2001 | B1 |
6282517 | Wolfe et al. | Aug 2001 | B1 |
6330499 | Chou et al. | Dec 2001 | B1 |
6330546 | Gopinathan et al. | Dec 2001 | B1 |
6430539 | Lazarus et al. | Aug 2002 | B1 |
6516239 | Madden | Feb 2003 | B1 |
6587841 | DeFrancesco | Jul 2003 | B1 |
6714859 | Jones | Mar 2004 | B2 |
6738748 | Wetzer | May 2004 | B2 |
6754564 | Newport | Jun 2004 | B2 |
6760794 | Deno et al. | Jul 2004 | B2 |
6772145 | Shishido | Aug 2004 | B2 |
6804606 | Jones | Oct 2004 | B2 |
6839682 | Blume et al. | Jan 2005 | B1 |
6904359 | Jones | Jun 2005 | B2 |
6938021 | Shear et al. | Aug 2005 | B2 |
6959281 | Freeling et al. | Oct 2005 | B1 |
7024418 | Childress | Apr 2006 | B1 |
7050982 | Sheinson et al. | May 2006 | B2 |
7069118 | Coletrane et al. | Jun 2006 | B2 |
7092898 | Mattick et al. | Aug 2006 | B1 |
7113853 | Hecklinger | Sep 2006 | B2 |
7130821 | Connors et al. | Oct 2006 | B1 |
7181427 | DeFrancesco | Feb 2007 | B1 |
7184974 | Shishido | Feb 2007 | B2 |
7191058 | Laird et al. | Mar 2007 | B2 |
7228298 | Raines | Jun 2007 | B1 |
7288298 | Raines | Jun 2007 | B2 |
7275083 | Seibel et al. | Sep 2007 | B1 |
7366694 | Lazerson | Apr 2008 | B2 |
7392203 | Edison et al. | Jun 2008 | B2 |
7392221 | Nabe et al. | Jun 2008 | B2 |
7421322 | Silversmith et al. | Sep 2008 | B1 |
7444302 | Hu et al. | Oct 2008 | B2 |
7472088 | Taylor et al. | Dec 2008 | B2 |
RE40692 | Rose, Jr. | Mar 2009 | E |
7505838 | Raines et al. | Mar 2009 | B2 |
7561963 | Brice et al. | Jul 2009 | B2 |
7567922 | Weinberg | Jul 2009 | B1 |
7571139 | Giordano et al. | Aug 2009 | B1 |
7580856 | Pliha | Aug 2009 | B1 |
7590589 | Hoffberg | Sep 2009 | B2 |
7593893 | Ladd et al. | Sep 2009 | B1 |
7596512 | Raines | Sep 2009 | B1 |
7603293 | Chenn | Oct 2009 | B2 |
7610257 | Abrahams | Oct 2009 | B1 |
7630932 | Danaher et al. | Dec 2009 | B2 |
7653592 | Flaxman et al. | Jan 2010 | B1 |
7693896 | Raines | Apr 2010 | B1 |
7739142 | Chand et al. | Jun 2010 | B2 |
7778841 | Bayer et al. | Aug 2010 | B1 |
7788147 | Haggerty et al. | Aug 2010 | B2 |
7835940 | Kowalchuk | Nov 2010 | B2 |
7865409 | Monaghan | Jan 2011 | B1 |
7877320 | Downey | Jan 2011 | B1 |
7925654 | Raines | Apr 2011 | B1 |
7945478 | Hogan et al. | May 2011 | B2 |
7962404 | Metzger, II et al. | Jun 2011 | B1 |
7966210 | Hall et al. | Jun 2011 | B2 |
7974886 | Coleman | Jul 2011 | B2 |
7991689 | Brunzell et al. | Aug 2011 | B1 |
8005759 | Hirtenstein et al. | Aug 2011 | B2 |
8005795 | Galipeau et al. | Aug 2011 | B2 |
8036952 | Mohr et al. | Oct 2011 | B2 |
8055544 | Ullman | Nov 2011 | B2 |
8078524 | Crawford et al. | Dec 2011 | B2 |
8104671 | Besecker et al. | Jan 2012 | B2 |
8121938 | Zettner et al. | Feb 2012 | B1 |
8185417 | Brown et al. | May 2012 | B1 |
8219464 | Inghelbrecht et al. | Jul 2012 | B2 |
8239388 | Raines | Aug 2012 | B2 |
8244563 | Coon et al. | Aug 2012 | B2 |
8255243 | Raines et al. | Aug 2012 | B2 |
8255244 | Raines et al. | Aug 2012 | B2 |
8285656 | Chang et al. | Oct 2012 | B1 |
8355983 | Parr et al. | Jan 2013 | B1 |
8380594 | Berkman et al. | Feb 2013 | B2 |
8392334 | Hirtenstein et al. | Mar 2013 | B2 |
8438048 | Benavides, III | May 2013 | B1 |
8438170 | Koran et al. | May 2013 | B2 |
8560161 | Kator et al. | Oct 2013 | B1 |
8595079 | Raines et al. | Nov 2013 | B1 |
8600783 | Smith et al. | Dec 2013 | B2 |
8600823 | Raines et al. | Dec 2013 | B1 |
8606648 | Bayer et al. | Dec 2013 | B1 |
8626560 | Anderson | Jan 2014 | B1 |
8630929 | Haggerty et al. | Jan 2014 | B2 |
8645193 | Swinson et al. | Feb 2014 | B2 |
8725584 | Eager et al. | May 2014 | B1 |
9053589 | Kator et al. | Jun 2015 | B1 |
9053590 | Kator et al. | Jun 2015 | B1 |
9076276 | Kator et al. | Jul 2015 | B1 |
9087335 | Rane et al. | Jul 2015 | B2 |
9105048 | Koran et al. | Aug 2015 | B2 |
9123056 | Singh et al. | Sep 2015 | B2 |
9147217 | Zabritski et al. | Sep 2015 | B1 |
9292860 | Singh et al. | Mar 2016 | B2 |
9501781 | Singh et al. | Nov 2016 | B2 |
9646308 | Eager et al. | May 2017 | B1 |
9690820 | Girulat, Jr. | Jun 2017 | B1 |
9697544 | Bayer et al. | Jul 2017 | B1 |
9741066 | Eager et al. | Aug 2017 | B2 |
10162848 | Mohan et al. | Dec 2018 | B2 |
10163156 | Shapley et al. | Dec 2018 | B1 |
10380654 | Hirtenstein et al. | Aug 2019 | B2 |
10409867 | Von Busch et al. | Sep 2019 | B1 |
10565181 | Hjermstad et al. | Feb 2020 | B1 |
10580054 | Cain et al. | Mar 2020 | B2 |
10581825 | Poschel et al. | Mar 2020 | B2 |
20010044769 | Chaves | Nov 2001 | A1 |
20020023051 | Kunzle et al. | Feb 2002 | A1 |
20020042752 | Chaves | Apr 2002 | A1 |
20020072964 | Choi | Jun 2002 | A1 |
20020082978 | Ghouri et al. | Jun 2002 | A1 |
20020091706 | Anderson et al. | Jul 2002 | A1 |
20020099628 | Takaoka et al. | Jul 2002 | A1 |
20020103622 | Burge | Aug 2002 | A1 |
20020128960 | Lambiotte et al. | Sep 2002 | A1 |
20020161496 | Yamaki | Oct 2002 | A1 |
20020193925 | Funkhouser et al. | Dec 2002 | A1 |
20030033242 | Lynch et al. | Feb 2003 | A1 |
20030041019 | Vagim, III et al. | Feb 2003 | A1 |
20030046179 | Anabtawi et al. | Mar 2003 | A1 |
20030101111 | Dang et al. | May 2003 | A1 |
20030105728 | Yano et al. | Jun 2003 | A1 |
20030144950 | O'Brien et al. | Jul 2003 | A1 |
20030177481 | Amaru et al. | Sep 2003 | A1 |
20030187753 | Takaoka | Oct 2003 | A1 |
20030200151 | Ellenson et al. | Oct 2003 | A1 |
20030216965 | Libman | Nov 2003 | A1 |
20030233323 | Bilski et al. | Dec 2003 | A1 |
20040034657 | Zambo et al. | Feb 2004 | A1 |
20040107125 | Guheen et al. | Jun 2004 | A1 |
20040128262 | Nafousi | Jul 2004 | A1 |
20040163101 | Swix | Aug 2004 | A1 |
20040193644 | Baker et al. | Sep 2004 | A1 |
20040243506 | Das | Dec 2004 | A1 |
20040249532 | Kelly et al. | Dec 2004 | A1 |
20050010555 | Gallivan | Jan 2005 | A1 |
20050021384 | Pantaleo et al. | Jan 2005 | A1 |
20050038580 | Seim et al. | Feb 2005 | A1 |
20050113991 | Rogers et al. | May 2005 | A1 |
20050177489 | Neff et al. | Aug 2005 | A1 |
20050209892 | Miller | Sep 2005 | A1 |
20050246256 | Gastineau et al. | Nov 2005 | A1 |
20050251820 | Stefanik et al. | Nov 2005 | A1 |
20050256780 | Eldred | Nov 2005 | A1 |
20050267754 | Schultz et al. | Dec 2005 | A1 |
20050267774 | Merritt et al. | Dec 2005 | A1 |
20060004731 | Seibel et al. | Jan 2006 | A1 |
20060010052 | Willingham | Jan 2006 | A1 |
20060015425 | Brooks | Jan 2006 | A1 |
20060031182 | Ryan et al. | Feb 2006 | A1 |
20060041443 | Horvath | Feb 2006 | A1 |
20060107560 | Wong | May 2006 | A1 |
20060149674 | Cook et al. | Jul 2006 | A1 |
20060163868 | Baumann | Jul 2006 | A1 |
20060178957 | LeClaire | Aug 2006 | A1 |
20060178973 | Chiovari et al. | Aug 2006 | A1 |
20060202012 | Grano et al. | Sep 2006 | A1 |
20060202862 | Ratnakar | Sep 2006 | A1 |
20060206416 | Farias | Sep 2006 | A1 |
20060218079 | Goldblatt et al. | Sep 2006 | A1 |
20060229799 | Nimmo et al. | Oct 2006 | A1 |
20060242039 | Haggerty et al. | Oct 2006 | A1 |
20060242046 | Haggerty et al. | Oct 2006 | A1 |
20060242050 | Haggerty et al. | Oct 2006 | A1 |
20060277141 | Palmer | Dec 2006 | A1 |
20070011083 | Bird et al. | Jan 2007 | A1 |
20070027791 | Young et al. | Feb 2007 | A1 |
20070059442 | Sabeta | Mar 2007 | A1 |
20070136163 | Bell | Jun 2007 | A1 |
20070156515 | Hasselback et al. | Jul 2007 | A1 |
20070162293 | Malkon | Jul 2007 | A1 |
20070179798 | Inbarajan | Aug 2007 | A1 |
20070179860 | Romero | Aug 2007 | A1 |
20070185777 | Pyle et al. | Aug 2007 | A1 |
20070192165 | Haggerty et al. | Aug 2007 | A1 |
20070226131 | Decker et al. | Sep 2007 | A1 |
20070244732 | Chatterji et al. | Oct 2007 | A1 |
20070250327 | Hedy | Oct 2007 | A1 |
20070271178 | Davis et al. | Nov 2007 | A1 |
20070288271 | Klinkhammer | Dec 2007 | A1 |
20070294163 | Harmon et al. | Dec 2007 | A1 |
20080015954 | Huber et al. | Jan 2008 | A1 |
20080016119 | Sharma | Jan 2008 | A1 |
20080059317 | Chandran et al. | Mar 2008 | A1 |
20080071882 | Hering et al. | Mar 2008 | A1 |
20080097663 | Morimoto | Apr 2008 | A1 |
20080120155 | Pliha | May 2008 | A1 |
20080126137 | Kidd et al. | May 2008 | A1 |
20080177590 | Brodsky et al. | Jul 2008 | A1 |
20080183689 | Kubota et al. | Jul 2008 | A1 |
20080201163 | Barker et al. | Aug 2008 | A1 |
20080228635 | Megdal et al. | Sep 2008 | A1 |
20080235061 | Innes | Sep 2008 | A1 |
20080255897 | Megdal et al. | Oct 2008 | A1 |
20080294540 | Celka et al. | Nov 2008 | A1 |
20080294546 | Flannery | Nov 2008 | A1 |
20080301188 | O'Hara | Dec 2008 | A1 |
20080312969 | Raines et al. | Dec 2008 | A1 |
20090018996 | Hunt et al. | Jan 2009 | A1 |
20090055044 | Dienst | Feb 2009 | A1 |
20090083130 | Hall et al. | Mar 2009 | A1 |
20090138290 | Holden | May 2009 | A1 |
20090144201 | Gierkink et al. | Jun 2009 | A1 |
20090187513 | Noy et al. | Jul 2009 | A1 |
20090240735 | Grandhi et al. | Sep 2009 | A1 |
20090271296 | Romero | Oct 2009 | A1 |
20090271385 | Krishnamoorthy et al. | Oct 2009 | A1 |
20090287370 | Iwai et al. | Nov 2009 | A1 |
20100030649 | Ubelhor | Feb 2010 | A1 |
20100070343 | Taira et al. | Mar 2010 | A1 |
20100070382 | Inghelbrecht | Mar 2010 | A1 |
20100076881 | O'Grady et al. | Mar 2010 | A1 |
20100088158 | Pollack | Apr 2010 | A1 |
20100094664 | Bush et al. | Apr 2010 | A1 |
20100161486 | Liu et al. | Jun 2010 | A1 |
20100179861 | Teerilahti et al. | Jul 2010 | A1 |
20100198629 | Wesileder et al. | Aug 2010 | A1 |
20100217616 | Colson et al. | Aug 2010 | A1 |
20100223106 | Hallowell et al. | Sep 2010 | A1 |
20100293089 | Peterson et al. | Nov 2010 | A1 |
20100293181 | Muller et al. | Nov 2010 | A1 |
20100299190 | Pratt et al. | Nov 2010 | A1 |
20100332292 | Anderson | Dec 2010 | A1 |
20110022489 | Hallowell et al. | Jan 2011 | A1 |
20110040440 | de Oliveira et al. | Feb 2011 | A1 |
20110082759 | Swinson et al. | Apr 2011 | A1 |
20110137758 | Bienias | Jun 2011 | A1 |
20110161115 | Hampton | Jun 2011 | A1 |
20110202471 | Scott et al. | Aug 2011 | A1 |
20110213641 | Metzger, II et al. | Sep 2011 | A1 |
20110264595 | Anspach et al. | Oct 2011 | A1 |
20110270706 | Anspach et al. | Nov 2011 | A1 |
20110270707 | Breed et al. | Nov 2011 | A1 |
20110276467 | Blackburn et al. | Nov 2011 | A1 |
20110320241 | Miller | Dec 2011 | A1 |
20120005045 | Baker | Jan 2012 | A1 |
20120106801 | Jackson | May 2012 | A1 |
20120109770 | Seergy et al. | May 2012 | A1 |
20120197699 | Snell et al. | Aug 2012 | A1 |
20120221485 | Leidner et al. | Aug 2012 | A1 |
20120239637 | Prakash et al. | Sep 2012 | A9 |
20120254017 | Fusco et al. | Oct 2012 | A1 |
20120265648 | Jerome et al. | Oct 2012 | A1 |
20120271850 | Licata Messana et al. | Oct 2012 | A1 |
20120331010 | Christie | Dec 2012 | A1 |
20130006801 | Solari et al. | Jan 2013 | A1 |
20130006809 | Hollenshead et al. | Jan 2013 | A1 |
20130159033 | Weinstock et al. | Jun 2013 | A1 |
20130173453 | Raines et al. | Jul 2013 | A1 |
20130238455 | Laracey | Sep 2013 | A1 |
20130268298 | Elkins et al. | Oct 2013 | A1 |
20140082017 | Miller | Mar 2014 | A1 |
20140258309 | Young | Sep 2014 | A1 |
20150227942 | Sidman et al. | Aug 2015 | A1 |
20150310865 | Fay et al. | Oct 2015 | A1 |
20150324400 | Sheck et al. | Nov 2015 | A1 |
20150332411 | Bush et al. | Nov 2015 | A1 |
20150348145 | Nakajima | Dec 2015 | A1 |
20160004742 | Mohan et al. | Jan 2016 | A1 |
20160012494 | Lasini | Jan 2016 | A1 |
20160217046 | Lamoureux et al. | Jul 2016 | A1 |
20160267588 | Cain et al. | Sep 2016 | A1 |
20160299905 | Geyer et al. | Oct 2016 | A1 |
20160321726 | Singh et al. | Nov 2016 | A1 |
20160379486 | Taylor | Dec 2016 | A1 |
20170052652 | Denton et al. | Feb 2017 | A1 |
20170270490 | Penilla et al. | Sep 2017 | A1 |
20170323295 | Kranzley et al. | Nov 2017 | A1 |
20180018723 | Nagla et al. | Jan 2018 | A1 |
20180107676 | Vora | Apr 2018 | A1 |
20180108189 | Park et al. | Apr 2018 | A1 |
20180157761 | Halstead et al. | Jun 2018 | A1 |
20180165747 | Patten et al. | Jun 2018 | A1 |
20190295133 | Hirtenstein et al. | Sep 2019 | A1 |
20200065885 | Smith | Feb 2020 | A1 |
Number | Date | Country |
---|---|---|
0 749 081 | Dec 1996 | EP |
1 122 664 | Aug 2001 | EP |
09-251486 | Sep 1997 | JP |
10-222559 | Aug 1998 | JP |
10-261009 | Sep 1998 | JP |
2000-331068 | Nov 2000 | JP |
2001-297141 | Oct 2001 | JP |
2001-344463 | Dec 2001 | JP |
2001-357256 | Dec 2001 | JP |
2002-149778 | May 2002 | JP |
2002-163498 | Jun 2002 | JP |
2002-259753 | Sep 2002 | JP |
2003-271851 | Sep 2003 | JP |
2003-316881 | Nov 2003 | JP |
10-2000-0036594 | Jul 2000 | KR |
10-2000-0063995 | Nov 2000 | KR |
10-2001-0016349 | Mar 2001 | KR |
10-2001-0035145 | May 2001 | KR |
10-2002-0007132 | Jan 2002 | KR |
10-2002-0068866 | Aug 2002 | KR |
WO 99004350 | Jan 1999 | WO |
WO 99022328 | May 1999 | WO |
WO 01071458 | Sep 2001 | WO |
WO 01075754 | Oct 2001 | WO |
WO 03101123 | Dec 2003 | WO |
WO 2007149941 | Dec 2007 | WO |
WO 2008022289 | Feb 2008 | WO |
WO 2018199992 | Nov 2018 | WO |
Entry |
---|
U.S. Appl. No. 13/297,438, Web-Based System and Method for Providing Comprehensive Vehicle Build Information, filed Nov. 16, 2011. |
U.S. Appl. No. 14/080,416, System and Method for Providing Comprehensive Vehicle Information, filed Nov. 14, 2013. |
U.S. Appl. No. 16/669,250, 2020/0065885, System and Method for Providing Comprehensive Vehicle Information, filed Oct. 30, 2019. |
“Activant PartExpert with Vehicle Identification Number (VIN) Lookup”, Activant Solutions, Inc., Livermore, CA, Copyright 2006, http://counterworks.com/PartExp_DS_092806.pdf, pp. 2. |
“AutoConnect Partners with Organic to Build World's Most Comprehensive Online Emporium of Pre-Owned Vehicles”, PR Newswire, May 19, 1998, pp. 2. |
“Auto Market StatisticsSM:Drive Response with Aggregated Motor Vehicle Information”, Experian, Apr. 2007, http://www.experian.com/assets/marketing-services/product-sheets/auto-market-statistics.pdf, pp. 2. |
“Appraisal Tool”, VAuto Live Market View, Dec. 14, 2007, http://www.vauto.com/vAuto_solution/appraisal.asp, pp. 3. |
Autobytel.com, http://web.archive.org/web/20040806010507//http://autobytel.com/, as archived Aug. 6, 2004, pp. 3. |
Bala, Pradip Kumar, “Purchase-Driven Classification for Improved Forecasting in Spare Parts Inventory Replenishment,” International Journal of Computer Applications, Nov. 2010, vol. 10, No. 9, pp. 40-45. |
Bankrate.com, http://web.archive.org/web/20040809000026/www.bankrate.com/brm/default.asp, as archived Aug. 9, 2004, pp. 3. |
“Carfax Teams with Esurance”, PR Newswire, May 14, 2001, p. 1. |
Cars.com, http://web.archive.org/web/20041010081241/www.cars.com/go/index.jsp?aff=national, as archived Oct. 10, 2004, pp. 2. |
Carsdirect.com, http://web.archive.org/web/20040730142836/www.carsdirect.com/home, as archived Jul. 30, 2004, pp. 2. |
Checkbook.org, http://web.archive.org/web/20040604192834/www.checkbook.org/auto/carbarg.cfm, as archived Jun. 4, 2004, p. 1. |
“Consumer Reports Finds American-Made Vehicles Close Reliability Gap with European-Made Vehicle—As Japanese Continue to Set New Benchmarks for the Industry”, Consumer Reports: Consumers Union, Yonkers, NY, Apr. 2003, pp. 2. |
Cohen et al., “Optimizer: IBM's Multi Echelon Inventory System for Managing Service Logistics”, Interfaces, vol. 20, No. 1, Jan.-Feb. 1990, pp. 65-82. |
Copeland et al., “Wallet-on-Wheels—Using Vehicle's Identity for Secure Mobile Money”, 17th International Conference on Intelligence in Next Generation Networks, 2013, pp. 102-109. |
“Driveitaway.com Links with AutoCheck to Provide Car Shoppers Vehicle Histories; Consumers Bidding on Driveitaway.com's Used Auto Auctions Can Now Go Online to Research a Specific Vehicle's History”, PR Newswire, Jan. 15, 2001, p. 1. |
“Experian Uses SSA-NAME3 to Match 40 to 50 Million Transactions per Month Against an 11.5 Billion Row Database”, DM Review, Apr. 2001, vol. 11, No. 4, pp. 3. |
Farrell et al., “Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation”, The American Economic Review, Dec. 1986, vol. 76, No. 5, pp. 940-955. |
Garcia-Molina et al., “Database Systems: The Complete Book”, Prentice Hall, Inc., Ch. 15, 2002, pp. 713-715. |
Grange, Frank, “Challenges in Modeling Demand for Inventory Optimization of Slow-Moving Items,” Proceedings of the 1998 Winter Simulation Conference, 1998, pp. 1211-1217. |
Haffar, Imad, “‘SPAM’: A Computer Model for Management of Spare-Parts Inventories in Agricultural Machinery Dealerships”, Computers and Electronics in Agriculture, vol. 12, Issue 4, Jun. 1995, pp. 323-332. |
Handfield et al., “Managing Component Life Cycles in Dynamic Technological Environments”, International Journal of Purchasing and Materials Management, Tempe, Spring 1994, vol. 30, No. 2, pp. 20-28. |
Inderfurth et al., “Decision Support for Spare Parts Acquisition in Post Product Life Cycle”, Central European Journal of Operations Research, 2008, vol. 16, pp. 17-42. |
“Intelligence Insight Impact”, Polk Automotive Manufacturers; http://usa.polk.com/Industries/AutoMfr/Analyze/MarketAnalysis/, Dec. 13, 2007, pp. 3. |
Invoicedealers.com, http://web.archive.org/web/20040804044511/http://www.invoicedealers.com/, Aug. 4, 2004, pp. 2. |
Ivillage.com, http://web.archive.org/web/20040729234947/http://www.ivillage.com/, Jul. 29, 2004, pp. 2. |
“Japan's JAAI System Appraises Used Cars Over Internet”, Asia Pulse, Mar. 3, 2000, p. 1. |
Jaro, Matthew A., “Probabilistic Linkage of Large Public Health Data Files”, Statistics in Medicine, 1995, vol. 14, pp. 491-498. |
Käki, Anssi, “Forecasting in End-Of-Life Spare Parts Procurement”, Master's Thesis, Helsinki University of Technology, System Analysis Laboratory, Jul. 27, 2007, pp. 84. |
Kennedy et al., “An Overview of Recent Literature on Spare Parts Inventories”, International Journal of Production Economics, 2002, vol. 76, pp. 201-215. |
Kim et al., “Optimal Pricing, EOL (End of Life) Warranty, and Spare Parts Manufacturing Strategy Amid Product Transition”, European Journal of Operation Research, 2008, vol. 188, pp. 723-745. |
Koller, Mike, “Wireless Service Aids,” InternetWeek, Jul. 9, 2001, p. 15. |
Krupp, James A.G., “Forecasting for the Automotive Aftermarket”, The Journal of Business Forecasting Methods & Systems, Winter 1993-1994, vol. 12, No. 4, ABI/Inform Global, pp. 8-12. |
Lapide, Larry, “New Developments in Business Forecasting”, The Journal of Business Forecasting, Spring 2002, pp. 12-14. |
Lee, Ho Geun, “AUCNET: Electronic Intermediary for Used-Car Transactions”, EM-Electronic Markets, Dec. 1997, vol. 7, No. 4, pp. 24-28. |
Miller, Joe, “NADA Used-Car Prices Go Online”, Automotive News, Jun. 14, 1999, p. 36. |
Moore, John R., Jr. “Forecasting and Scheduling for Past-Model Replacement Parts”, Management Science, Application Series, vol. 18, No. 4, Part 1, Dec. 1971, pp. B-200-B-213. |
“NAAA-Recommended Vehicle Condition Grading Scale”, Noted as early as 2007, pp. 3. |
Packer, A. H., “Simulation and Adaptive Forecasting an Applied to Inventory Control”, Operations Research, Jul. 1965, vol. 15, No. 4, pp. 660-679. |
“Power Information Network: Power to Drive your Business”, J.D. Power and Associates Power Information Network, http://www.powerinfonet.com/products/productDetail.asp?type=financialinstitutions, Dec. 13, 2007, pp. 2. |
Peters, Peter-Paul, “A Spare Parts Configurator for the European Service Business” (Graduation Report), Honeywell, Industrial Service Logistic Center, Amsterdam, The Netherlands, Mar. 2000, pp. 80. |
Porter, G. Zell, “An Economic Method for Evaluating Electronic Component Obsolescence Solutions”, www.gidep.org/data/dmsms/library/zell.pdf, May 1998, pp. 1-9. |
“Pricing Tool”, vAuto Live Market View, http://www.avauto.com/vAuto_Solution/pricing.asp, Dec. 13, 2007, pp. 2. |
Reinbach, Andrew, “MCIF Aids Banks in CRA Compliance”, Bank Systems & Technology, Aug. 1995, vol. 32, No. 8, p. 27. |
Roos, Gina, “Web-Based Service Helps OEMs Cure Parts Obsolescence Blues”, Electronic Engineering Times, Oct. 8, 2001, p. 86. |
Santarini, Michael, “Forecasts the Probable Obsolescence of Components—Module Predicts Parts Life”, Electronic Engineering Times, Jan. 11, 1999, vol. 1, p. 48. |
Sawyers, Arlena, “NADA to Offer Residual Guide”, Automotive News, May 22, 2000, p. 1. |
Shapiro et al., “Systems Competition and Aftermarkets: an Economic Analysis of Kodak”, The Antitrust Bulletin, Spring 1994, pp. 135-162. |
“Stoneage Corporation Announces Database of 250,000 Used Cars Posted to the Internet”, PR Newswire, Feb. 24, 1998, p. 1. |
Sullivan, Laurie, “Obsolete-Parts Program Thriving”, EBN, Manhasset, NY, Jan. 21, 2002, Issue 1296, p. 26. |
“Urban Science Launches Second Generation Lead Scoring Solution”, Urban Science, Detroit, MI, Mar. 1, 2007, http://www.urbanscience.com/newsevents/pr_20070222.html, pp. 3. |
“WashingtonPost.com and Cars.com Launch Comprehensive Automotive Web Site for the Washington Area”, PR Newswire, Oct. 22, 1998. pp. 2. |
Watts, Craig, “Consumers Now Can Know What Loan Rate Offers to Expect Based on Their FICO Credit Score at MyFICO.com,” San Rafael, CA, Mar. 6, 2002, pp. 2, http://www.myfico.com/PressRoom/PressReleases/2002_03_06.aspx. |
Webster, Lee R., “Failure Rates & Life-Cycle Costs”, Consulting-Specifying Engineer, Apr. 1998, vol. 23, No. 4, ABI/INFORM Global, p. 42. |
“Web Sites Let Automotive Consumers Arm Themselves with Price Information”, Orange County Register, Nov. 14, 1997, pp. 3. |
“Yahoo! Autos Provides Enhanced Road Map for Researching, Buying and Selling Cars Online”, PR Newswire, Oct. 13, 1998, pp. 2. |
Number | Date | Country | |
---|---|---|---|
61415207 | Nov 2010 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 13297438 | Nov 2011 | US |
Child | 16114931 | US |