System and method for determination and use of spatial and geography based metrics in a network of distributed computer systems

Patent metadata

Field	Value
Publication number	US-12536558-B2
Application number	US-202418778565-A
Country	US
Kind code	B2
Filing date	Jul 19, 2024
Priority date	Sep 22, 2016
Publication date	Jan 27, 2026
Grant date	Jan 27, 2026

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.

First claim

What is claimed is:

1 . A vehicle data system utilizing spatial or geography based normalization metrics in a distributed computing environment, comprising:
a data store; a computing device coupled to a plurality of distributed data sources over a network; and a non-transitory computer readable medium storing instructions for:
generating a real-time interface comprising competition zone information for a geographic area, the competition zone information associated with a dealer and a vehicle make, wherein the competition zone information is determined based on a zone label associated with the geographic area by:
obtaining, from a distributed data source, a set of historical transaction data associated with vehicles of the vehicle make;
determining a normalization metric that quantifies competitiveness of the dealer in the geographic area, based on a local normalization factor comprising a median or mean historical distance traveled to purchase a vehicle of the vehicle make by consumers in the geographic area, the normalization metric reflecting a relative distance of the dealer to other competing dealers within the geographic area; and
assigning the zone label to the geographic area for the dealer and vehicle make based on the normalization metric determined for the geographic area for the dealer and vehicle make;

receiving a request over a network, the request associated with the dealer;
identifying the geographic area associated with the dealer; and
responding to the request with the generated real-time interface over the network, the generated real-time interface providing a visual representation comprising a geographic map depicting the assigned zone label within the geographic area and depictions of the dealer and any competing dealers within the geographic area on the geographic map.

2 . The system of claim 1 , wherein the normalization metric quantifies an effect of spatial distribution of consumers or dealers, holding other factors equal.

3 . The system of claim 1 , wherein the normalization metric provides a normalized perspective for comparing and interpreting spatial behavioral patterns of consumers and links of the spatial behavioral patterns to competitiveness of dealers.

4 . The system of claim 1 , wherein the normalization metric is determined further based on a second dealer that is a closest dealer to the dealer.

5 . The system of claim 1 , wherein the zone label designates a geographical area for which the dealer has a geographical advantage, where the dealer is located at a comparable distance with other dealers, or where the dealer is at a disadvantage relative to at least one other dealer.

6 . The system of claim 1 , wherein the normalization metric provides normalization across different geographical areas.

7 . The system of claim 1 , wherein the interface comprises a graphical interface.

8 . A method, comprising:
generating, by a computing device, a real-time interface comprising competition zone information for a geographic area, the competition zone information associated with a dealer and a vehicle make, wherein the competition zone information is determined by one or more processors based on a zone label associated with the geographic area by:
obtaining, from a distributed data source, a set of historical transaction data associated with vehicles of the vehicle make;
determining a normalization metric that quantifies competitiveness of the dealer in the geographic area, based on a local normalization factor comprising a median or mean historical distance traveled to purchase a vehicle of the vehicle make by consumers in the geographic area, the normalization metric reflecting a relative distance of the dealer to other competing dealers within the geographic area; and
assigning the zone label to the geographic area for the dealer and vehicle make based on the normalization metric determined for the geographic area for the dealer and vehicle make;
receiving a request over a network, the request associated with the dealer; identifying the geographic area associated with the dealer; and responding to the request with the generated real-time interface over the network, the generated real-time interface providing a visual representation comprising a geographic map depicting the assigned zone label within the geographic area and depictions of the dealer and any competing dealers within the geographic area on the geographic map.

9 . The method of claim 8 , wherein the normalization metric quantifies an effect of spatial distribution of consumers or dealers, holding other factors equal.

10 . The method of claim 8 , wherein the normalization metric provides a normalized perspective for comparing and interpreting spatial behavioral patterns of consumers and links of the spatial behavioral patterns to competitiveness of dealers.

11 . The method of claim 8 , wherein the normalization metric is determined further based on a second dealer that is a closest dealer to the dealer.

12 . The method of claim 8 , wherein the zone label designates a geographical area for which the dealer has a geographical advantage, where the dealer is located at a comparable distance with other dealers, or where the dealer is at a disadvantage relative to at least one other dealer.

13 . The method of claim 8 , wherein the normalization metric provides normalization across different geographical areas.

14 . A non-transitory computer readable medium storing instructions that are executable by a processor for:
generating a real-time interface comprising competition zone information for a geographic area, the competition zone information associated with a dealer and a vehicle make, wherein the competition zone information is determined based on a zone label associated with the geographic area by:
obtaining, from a distributed data source, a set of historical transaction data associated with vehicles of the vehicle make;
determining a normalization metric that quantifies competitiveness of the dealer in the geographic area, based on a local normalization factor comprising a median or mean historical distance traveled to purchase a vehicle of the vehicle make by consumers in the geographic area, the normalization metric reflecting a relative distance of the dealer to other competing dealers within the geographic area; and
assigning the zone label to the geographic area for the dealer and vehicle make based on the normalization metric determined for the geographic area for the dealer and vehicle make;
receiving a request over a network, the request associated with the dealer; identifying the geographic area associated with the dealer; and responding to the request with the generated real-time interface over the network, the generated real-time interface providing a visual representation comprising a geographic map depicting the assigned zone label within the geographic area and depictions of the dealer and any competing dealers within the geographic area on the geographic map.

15 . The non-transitory computer readable medium of claim 14 , wherein the normalization metric quantifies an effect of spatial distribution of consumers or dealers, holding other factors equal.

16 . The non-transitory computer readable medium of claim 14 , wherein the normalization metric provides a normalized perspective for comparing and interpreting spatial behavioral patterns of consumers and links of the spatial behavioral patterns to competitiveness of dealers.

17 . The non-transitory computer readable medium of claim 14 , wherein the normalization metric is

Assignees

• Truecar Inc

Inventors

• Swinson Michael D
• O'Driscoll Lin
• Salazar Daniel
• Rizzo Ludovica
• LaCivita Jacob

Classifications

• G06Q30/06

  Buying, selling or leasing transactions · CPC title

• G06Q30/0278

  Product appraisal · CPC title

• G06Q10/0637

  Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals · CPC title

• G06Q30/0205 Primary

  based on location or geographical consideration · CPC title