Systems and Methods for Automatic Popular Configuration Generation
Embodiments of systems and methods disclosed herein provide solutions for determining popular configurations in an automated and balanced manner, useful in facilitating consumers in making their purchase decisions on high value items such as vehicles. In particular, in certain embodiments, a user may utilize a vehicle data system to obtain pricing data corresponding to automatically generated vehicle configurations. When the user is presented with the pricing data associated with the automatically generated vehicle configuration the user may additionally be presented with an upfront price offered by a dealer.
1 . A system, comprising:
one or more computing devices; and
a vehicle data system embodied on at least one server machine communicatively connected to the one or more computing devices, the vehicle data system comprising a processing module, wherein the processing module is configured to:
access build data associated with a particular vehicle make, model, and trim, the build data including MSRP pricing data and a vehicle option configuration for each respective vehicle;
identify a plurality of vehicle option configurations based at least partially on the popularity of option configurations in the build data;
select a subset of the identified plurality of option configurations based on the popularity of the respective option configurations and on the respective MSRP pricing data; and
generate an interface based on the selected subset of identified plurality of option configurations, wherein the interface is configured to present the selected subset of identified plurality of option configurations with corresponding MSRP pricing data.
2 . The system of claim 1 , wherein the subset of the identified plurality of option configurations is selected by balancing option configuration popularity with MSRP pricing data distribution.
3 . The system of claim 1 , wherein the subset of the identified plurality of option configurations is selected by generating scores for various combinations of the identified option configurations.
4 . The system of claim 3 , wherein the scores are a function of the popularity of respective option configurations and of the relative price spread of respective MSRP pricing data.
5 . The system of claim 1 , wherein the processing module is configured to determine a price-shadow range around each identified vehicle option configurations and to prevent the selection of vehicle option configurations that fall within the price-shadow range of another identified vehicle option configuration.
6 . The system of claim 1 , wherein the processing module is configured to filter the build data based on the geographic location of a user.
7 . The system of claim 6 , wherein the build data is filtered based on driving distance between the user and vehicle dealerships.
8 . A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by at least one processor to perform:
accessing build data associated with a particular vehicle make, model, and trim, the build data including MSRP pricing data and a vehicle option configuration for each respective vehicle;
identifying a plurality of vehicle option configurations based at least partially on the popularity of option configurations in the build data;
selecting a subset of the identified plurality of option configurations based on the popularity of the respective option configurations and on the respective MSRP pricing data; and
generating an interface based on the selected subset of identified plurality of option configurations, wherein the interface is configured to present the selected subset of identified plurality of option configurations with corresponding MSRP pricing data.
9 . The computer program product of claim 8 , wherein the subset of the identified plurality of option configurations is selected by balancing option configuration popularity with MSRP pricing data distribution.
10 . The computer program product of claim 8 , wherein the subset of the identified plurality of option configurations is selected by generating scores for various combinations of the identified option configurations.
11 . The computer program product of claim 10 , wherein the scores are a function of the popularity of respective option configurations and of the relative price spread of respective MSRP pricing data.
12 . The computer program product of claim 8 , further comprising determining a price-shadow range around each identified vehicle option configurations and to prevent the selection of vehicle option configurations that fall within the price-shadow range of another identified vehicle option configuration.
13 . The computer program product of claim 8 , further comprising filtering the build data based on the geographic location of a user.
14 . The computer program product of claim 13 , wherein the build data is filtered based on driving distance between the user and vehicle dealerships.
15 . A method for automatically generating popular vehicle configurations for a given vehicle make, model, and trim, the method comprising:
a vehicle data system embodied on at least one server machine accessing build data associated with a particular vehicle make, model, and trim, the build data including MSRP pricing data and a vehicle option configuration for each respective vehicle;
the vehicle data system identifying a plurality of vehicle option configurations based at least partially on the popularity of option configurations in the build data;
the vehicle data system selecting a subset of the identified plurality of option configurations based on the popularity of the respective option configurations and on the respective MSRP pricing data; and
the vehicle data system generating an interface based on the selected subset of identified plurality of option configurations, wherein the interface is configured to present the selected subset of identified plurality of option configurations with corresponding MSRP pricing data.
16 . The method of claim 15 , wherein identifying a plurality of vehicle option configurations further comprises determining a price-shadow range for each identified vehicle option configuration.
17 . The method of claim 16 , wherein identifying a plurality of vehicle option configurations further comprises preventing the identification of a vehicle option configuration if the vehicle option configuration would fall within the price-shadow range of a previously identified vehicle option configuration.
18 . The method of claim 15 , wherein the subset of the identified plurality of option configurations is selected by balancing option configuration popularity with MSRP pricing data distribution.
19 . The method of claim 18 , wherein the subset of the identified plurality of option configurations is selected by generating scores for various combinations of the identified option configurations.
20 . The computer program product of claim 15 , further comprising filtering the build data based on the geographic location of a user.