IP Library Granted Patent US 12,260,352
Granted Patent B2
US 12,260,352 · App. 18/307,750 · Granted Mar 25, 2025

Database optimization and distributed computing using thin locator style records

Inventors: Igor Astafiev (Scottsdale, AZ); Jagdish Rajan (Foster City, CA)
Assignee: ResponseLogix, Inc.
G06Q10/00G06F16/258G06Q30/00G06Q30/0601G06Q30/0611G06Q30/0629G06Q30/0631
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,260,352
App. No.
18/307,750
Granted
Mar 25, 2025
Kind
B2
Abstract

Systems and methods of database optimization and distributed computing using thin locator style records are described herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, generating standardized inventory records received via the remote agents, generating a database of available inventory that comprises complete standardized inventory records, generating thin locator style records for the complete standardized inventory records, the thin locator style records comprising key record identifiers receiving a query, the query comprising a price quote request, generating a standardized query based on the received query; selecting the thin locator style records in response to the standardized query; obtaining the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and providing the complete inventory records to a requestor.

Claims (69)

1. A computer-implemented method, comprising:

distributing remote agents to a plurality of remote computing systems;

generating standardized inventory records received via the remote agents;

generating a database of available inventory that comprises complete standardized inventory records;

generating and storing in cache memory thin locator style records, the thin locator style records configured to be used for periodic updates to the database, for the complete standardized inventory records, the thin locator style records comprising key record identifiers that are indicative of content included in the complete standardized inventory records;

receiving a query, the query comprising a price quote request;

generating a standardized query based on the received query;

selecting the thin locator style records in response to the standardized query;

obtaining the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and

providing the complete standardized inventory records to a requestor.

2. The method according to claim 1 , wherein each of the plurality of remote computing systems is coupled with an original equipment manufacturer system and at least a portion of the complete standardized inventory records are obtained from the original equipment manufacturer system.

3. The method according to claim 1 , wherein each of the plurality of remote computing systems is coupled with a non-dealership system and at least a portion of the complete standardized inventory records are obtained from the non-dealership system.

4. The method according to claim 1 , wherein incoming inventory is received periodically from the remote agents.

5. The method according to claim 1 , wherein the database stores information concerning a plurality of vehicles available for sale, the stored information including a plurality of features for each vehicle.

6. The method according to claim 5 , wherein the price quote request specifies a make and model for a requested vehicle.

7. The method according to claim 6 , wherein the complete standardized inventory records comprise a first set of vehicles from the plurality of vehicles which match the make and model of the requested vehicle.

8. The method according to claim 7 , further comprising

determining that a first set of complete standardized inventory records does not meet a predefined target, the predefined target including a minimum number of vehicles for inclusion in the price quote response;

identifying a body style of the requested vehicle; and

retrieving a second set of complete standardized inventory records from the database, the second set of complete standardized inventory records including a second set of vehicles from the plurality of vehicles which match at least the body style of the requested vehicle.

9. The method according to claim 8 , further comprising:

selecting a third set of vehicles from the first and second sets of complete standardized inventory records for a price quote response in accordance with the predefined target; and

generating the price quote response.

10. The method of claim 1 , wherein a minimum number of vehicles is defined prior to receiving the price quote request.

11. The method of claim 1 , wherein incoming inventory is received and thin locator style records are generated such that the database of available inventory never more than 24 hours old.

12. A system comprising:

remote agents distributed to a plurality of remote computing systems; and

a server in communication with the remote agents that:

distributes remote agents to a plurality of remote computing systems;

generates standardized inventory records received via the remote agents;

generates a database of available inventory that comprises complete standardized inventory records;

generates and stores in cache memory thin locator style records, the thin locator style records configured to be used for periodic updates to the database, for the complete standardized inventory records, the thin locator style records comprising key record identifiers that are indicative of the content included in the complete record;

receives a query, the query comprising a price quote request;

generates a standardized query based on the received query;

selects the thin locator style records in response to the standardized query;

obtains the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and

provides the complete standardized inventory records to a requestor.

13. The system according to claim 12 , wherein each of the plurality of remote computing systems is coupled with an original equipment manufacturer system and at least a portion of the complete standardized inventory records are obtained from the original equipment manufacturer system.

14. The system according to claim 12 , wherein each of the plurality of remote computing systems is coupled with an non-dealership system and at least a portion of the complete standardized inventory records are obtained from the non-dealership system.

15. The system according to claim 12 , wherein the incoming inventory is received periodically from the remote agents in an incremental manner.

16. The system according to claim 12 , wherein the database stores information concerning a plurality of vehicles available for sale, the stored information including a plurality of features for each vehicle.

17. The system according to claim 16 , further comprising:

determining that a first set of complete standardized inventory records does not meet a predefined target, the predefined target including a minimum number of vehicles for inclusion in the price quote response;

identifying a body style of the requested vehicle;

retrieving a second set of complete standardized inventory records from the database, the second set of complete standardized inventory records including a second set of vehicles from the plurality of vehicles which match at least the body style of the requested vehicle;

selecting a third set of vehicles from the first and second sets of complete standardized inventory records for the price quote response in accordance with the predefined target; and

generating the price quote response.

18. The system according to claim 17 , wherein the query comprises a price quote request, the price quote request specifying a make and model for the requested vehicle, and further wherein the complete standardized inventory records comprise a first set of vehicles from the plurality of vehicles which match the make and model of the requested vehicle.

19. The system according to claim 18 , wherein the remote agents are located in specific geographical locations, further wherein if a prior query for another vehicle in a geographical location has been resolved by one or more remote agents, the server will use a solution generated by the one or more remote agents rather than refreshing a response to the query.

20. A computer-implemented method, comprising:

distributing remote agents to a plurality of remote computing systems;

generating standardized inventory records received via the remote agents;

generating a database of available inventory that comprises complete standardized inventory records;

generating and storing in cache memory thin locator style records, the thin locator style records configured to be used for execution of one or more standardized queries for the complete standardized inventory records, the thin locator style records comprising key record identifiers that are indicative of the content included in the complete record;

receiving a query, the query comprising a price quote request;

generating a standardized query based on the received query;

selecting the thin locator style records in response to the standardized query;

obtaining the complete standardized inventory records corresponding to the thin locator style records of the key record identifiers included in the price quote request; and

providing the complete standardized inventory records to a requestor.

21. The method of claim 1 , wherein the query includes a permutation of the key record identifiers, which enables the paring of the complete standardized inventory records from the obtained complete standardize inventory records.

22. The method of claim 1 , wherein the key record identifiers include one or more of VIN, year, make, model, MSRP, and region or the available inventory.

23. The method of claim 1 , further comprising the step of tokenizing each field received via the remote agents when generating the standardized inventory records.

24. The method of claim 1 , wherein the selecting the thin locator style records includes fuzzy matching of some but not all of the key record identifiers.

25. The method of claim 1 , wherein the key record identifiers are included in the quote to cull or select the thin locator style records that correspond to the key record identifiers.

26. The system of claim 12 , wherein the query includes a permutation of the key record identifiers, which enables the paring of the complete standardize inventory records from the obtained complete standardize inventory records.

27. The system of claim 1 , wherein the key record identifiers include one or more of VIN, year, make, model, MSRP, and region or the available inventory.

28. The method of claim 12 , further comprising the step of tokenizing each field received via the remote agents when generating the standardized inventory records.

29. The system of claim 12 , wherein the selecting the thin locator style records includes fuzzy matching of some but not all of the key record identifiers.

30. The system of claim 12 , wherein the key record identifiers are included in the quote to cull or select the thin locator style records that correspond to the key record identifiers.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 27, 2023
From: ASTAFIEV, IGOR
To: RESPONSELOGIX, INC.
Reel/Frame 063462/0442 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 27, 2023
From: RAJAN, JAGDISH
To: LEADLOGIX, INC.
Reel/Frame 063462/0634 →
CHANGE OF NAME Recorded Apr 27, 2023
From: LEADLOGIX, INC.
To: RESPONSELOGIX, INC.
Reel/Frame 063473/0716 →
Continuity (10)
Continuation 16870771 · May 8, 2020
Continuation In Part 15639599 · Jun 30, 2017
Continuation In Part 13719130 · Dec 18, 2012
Continuation 13228407 · Sep 8, 2011
Continuation 12883154 · Sep 15, 2010
Continuation 12705328 · Feb 12, 2010
Continuation In Part 12475368 · May 29, 2009
Continuation In Part 12215940 · Jun 30, 2008
Provisional Application 60937856 · Jun 30, 2007
Related Publication 20240020583A1 · Jan 18, 2024
References Cited (123)
US 5774883A · Andersen et al. · 1998 [cited by applicant]
US 5873069A · Reuhl et al. · 1999 [cited by applicant]
US 5956693A · Geerlings · 1999 [cited by applicant]
US 6076070A · Stack · 2000 [cited by applicant]
US 6236977B1 · Verba et al. · 2001 [cited by applicant]
US 6311896B1 · Mulla et al. · 2001 [cited by applicant]
US 6470324B1 · Brown · 2002 [cited by applicant]
US 6553350B2 · Carter · 2003 [cited by applicant]
US 6609108B1 · Pulliam et al. · 2003 [cited by applicant]
US 6760727B1 · Schroeder · 2004 [cited by applicant]
US 6901430B1 · Smith · 2005 [cited by applicant]
US 6970837B1 · Walker et al. · 2005 [cited by applicant]
US 6980963B1 · Hanzek · 2005 [cited by applicant]
US 6993494B1 · Boushy et al. · 2006 [cited by applicant]
US 7007014B2 · Liu et al. · 2006 [cited by applicant]
US 7013323B1 · Thomas et al. · 2006 [cited by applicant]
US 7050874B1 · Tenorio · 2006 [cited by applicant]
US 7130821B1 · Connors et al. · 2006 [cited by applicant]
US 7181412B1 · Fulgoni et al. · 2007 [cited by applicant]
US 7212978B2 · Kowal et al. · 2007 [cited by applicant]
US 7315861B2 · Seibel et al. · 2008 [cited by applicant]
US 7353192B1 · Ellis et al. · 2008 [cited by applicant]
US 7364068B1 · Strubbe et al. · 2008 [cited by applicant]
US 7512540B2 · Gluck et al. · 2009 [cited by applicant]
US 7529694B2 · Crites · 2009 [cited by applicant]
US 7533052B2 · Tilfors et al. · 2009 [cited by applicant]
US 7536318B1 · Wolfe et al. · 2009 [cited by applicant]
US 7596512B1 · Raines · 2009 [cited by applicant]
US 7606897B2 · Izrailevsky et al. · 2009 [cited by applicant]
US 7620575B1 · Tenorio · 2009 [cited by applicant]
US 7654455B1 · Bhatti et al. · 2010 [cited by applicant]
US 7791752B2 · Eschbach et al. · 2010 [cited by applicant]
US 7809740B2 · Chung et al. · 2010 [cited by applicant]
US 7844605B2 · Koran · 2010 [cited by applicant]
US 7856373B2 · Ullah · 2010 [cited by applicant]
US 7856429B2 · Herberger et al. · 2010 [cited by applicant]
US 7895121B2 · Lukose et al. · 2011 [cited by applicant]
US 7949578B2 · Johnson et al. · 2011 [cited by applicant]
US 7966237B2 · Creed et al. · 2011 [cited by applicant]
US 7987194B1 · Walker et al. · 2011 [cited by applicant]
US 7996279B1 · Katz et al. · 2011 [cited by applicant]
US 8019662B2 · Lucas · 2011 [cited by applicant]
US 8027874B2 · Angles et al. · 2011 [cited by applicant]
US 8028065B2 · Izrailevsky et al. · 2011 [cited by applicant]
US 8036952B2 · Mohr et al. · 2011 [cited by applicant]
US 8065185B2 · Foladare et al. · 2011 [cited by applicant]
US 8370215B2 · Mohr et al. · 2013 [cited by applicant]
US 8428985B1 · Puskorius et al. · 2013 [cited by applicant]
US 9053514B2 · Bennett et al. · 2015 [cited by applicant]
US 10650330B2 · Mohr et al. · 2020 [cited by applicant]
US 11734615B2 · Astafiev et al. · 2023 [cited by applicant]
US 20010032095A1 · Balbach · 2001 [cited by applicant]
US 20010034726A1 · McMahon · 2001 [cited by applicant]
US 20010037246A1 · Reiter et al. · 2001 [cited by applicant]
US 20010047308A1 · Kaminsky et al. · 2001 [cited by applicant]
US 20010054004A1 · Powers · 2001 [cited by applicant]
US 20020010745A1 · Schneider · 2002 [cited by applicant]
US 20020032610A1 · Gold et al. · 2002 [cited by applicant]
US 20020040356A1 · Gluck et al. · 2002 [cited by applicant]
US 20020052778A1 · Murphy et al. · 2002 [cited by applicant]
US 20020059099A1 · Coletta · 2002 [cited by applicant]
US 20020071604A1 · Orpaz · 2002 [cited by examiner]
US 20020082860A1 · Johnson · 2002 [cited by applicant]
US 20020178166A1 · Hsia · 2002 [cited by applicant]
US 20030065583A1 · Takaoka · 2003 [cited by applicant]
US 20030200151A1 · Ellenson et al. · 2003 [cited by applicant]
US 20040103025A1 · Ulf et al. · 2004 [cited by applicant]
US 20040143476A1 · Kapadia et al. · 2004 [cited by applicant]
US 20050114200A1 · Rivera · 2005 [cited by applicant]
US 20050144095A1 · Scruton et al. · 2005 [cited by applicant]
US 20050144121A1 · Mayo · 2005 [cited by applicant]
US 20050149414A1 · Schrodt et al. · 2005 [cited by applicant]
US 20050154648A1 · Strause · 2005 [cited by applicant]
US 20050216844A1 · Error et al. · 2005 [cited by applicant]
US 20050267774A1 · Merritt · 2005 [cited by applicant]
US 20060038010A1 · Lucas · 2006 [cited by applicant]
US 20060064315A1 · Koch et al. · 2006 [cited by applicant]
US 20060074919A1 · Grover et al. · 2006 [cited by applicant]
US 20060080210A1 · Mourad et al. · 2006 [cited by applicant]
US 20060161633A1 · Quine · 2006 [cited by applicant]
US 20060293956A1 · Walker et al. · 2006 [cited by applicant]
US 20070005446A1 · Fusz · 2007 [cited by applicant]
US 20070022010A1 · Blaser et al. · 2007 [cited by applicant]
US 20070055586A1 · Lucas · 2007 [cited by applicant]
US 20070124216A1 · Lucas · 2007 [cited by applicant]
US 20070124399A1 · Gillespie et al. · 2007 [cited by applicant]
US 20070129993A1 · Alvin · 2007 [cited by applicant]
US 20070162318A1 · Bean et al. · 2007 [cited by applicant]
US 20070219916A1 · Lucas · 2007 [cited by applicant]
US 20070239569A1 · Lucas et al. · 2007 [cited by applicant]
US 20080015954A1 · Huber · 2008 [cited by applicant]
US 20080033831A1 · Boss et al. · 2008 [cited by applicant]
US 20080144802A1 · Stuart · 2008 [cited by applicant]
US 20080250136A1 · Izrailevsky et al. · 2008 [cited by applicant]
US 20080281757A1 · Riise et al. · 2008 [cited by applicant]
US 20090006118A1 · Pollak · 2009 [cited by applicant]
US 20090006159A1 · Mohr et al. · 2009 [cited by applicant]
US 20090157522A1 · Srinivasan et al. · 2009 [cited by applicant]
US 20090198507A1 · Rhodus · 2009 [cited by applicant]
US 20090240602A1 · Mohr et al. · 2009 [cited by applicant]
US 20090248494A1 · Hueter et al. · 2009 [cited by applicant]
US 20100042467A1 · Bundy et al. · 2010 [cited by applicant]
US 20100088158A1 · Pollack · 2010 [cited by applicant]
US 20100153235A1 · Mohr · 2010 [cited by applicant]
US 20100153236A1 · Mohr · 2010 [cited by applicant]
US 20100332344A1 · Mohr et al. · 2010 [cited by applicant]
US 20100332345A1 · Mohr et al. · 2010 [cited by applicant]
US 20110035288A1 · Clyne · 2011 [cited by applicant]
US 20110087550A1 · Fordyce et al. · 2011 [cited by applicant]
US 20110184813A1 · Barnes et al. · 2011 [cited by applicant]
US 20110276383A1 · Heiser et al. · 2011 [cited by applicant]
US 20110320305A1 · Mohr et al. · 2011 [cited by applicant]
US 20170300835A1 · Mohr et al. · 2017 [cited by applicant]
US 20170322971A1 · Seshadri et al. · 2017 [cited by applicant]
US 20200342363A1 · Astafiev et al. · 2020 [cited by applicant]
EP 1298561A1 · 2003 [cited by applicant]
JP 2001297226A · 2001 [cited by applicant]
JP 2001350952A · 2001 [cited by applicant]
Moran, Rob & Robyn Slater, Subaru Launches New Owner's Site—My.Subaru.com, PR Newswire, New York (Dec. 4, 2000) at p. 1. Accession No. 64905741, 3 pages. [cited by applicant]
White, Ron, “How Computers Work”, Millennium Ed., Queue Corporation, Indianapolis, IN, 1999 (Part 1: 142 pages, Part 2: 142 pages). [cited by applicant]
Morton, Fiona S. et al. “Internet Car Retailing”, National Bureau of Economic Research, Working Paper 7961, Oct. 2000, 34 pages. [cited by applicant]
Poolet, Michelle A., “Performance-Tuning the Data Model: Thinner is Better,” ITProToday [online], Aug. 18, 2005 [retrieved Dec. 14, 2019], Retrieved from the Internet: <URL: https://www.itprotoday.com/analytics-and-repo… [cited by applicant]
MacVittie, Lori, “Don't Fear The Data,” Network Computing, Sep. 16, 2004, pp. 43-58. [cited by applicant]