System and method for aggregation, analysis, presentation and monetization of pricing data for vehicles and other commodities
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. Specifically, in certain embodiments, historical transaction data associated with a particular vehicle configuration may be obtained and processed to determine pricing data associated with the vehicle configuration. The historical transaction data or determined pricing data may then be presented in an intuitive manner.
1. A system, comprising:
a vehicle data system coupled to one or more computer devices over a network, the vehicle data system comprising:
a data gathering module to:
obtain historical transaction data, wherein the historical transaction data comprises data on vehicle transactions received from a set of data sources coupled to the vehicle data system over the network;
a pricing data analysis module to:
determine a plurality of sets of the historical transaction data, where each of the plurality of sets of historical transaction data is associated with a vehicle configuration, and
determine pricing data corresponding to the vehicle configuration by applying one or more models to the set of historical transaction data associated with the vehicle configuration, wherein the pricing data includes a set of transaction prices and one or more quantifiable price ranges determined based on the set of historical transaction data associated with the vehicle configuration; and
an interface module to:
receive a specified vehicle configuration from a user at a computing device, and
generate an interface based on the pricing data associated with the specified vehicle configuration, wherein the generation of the interface is initiated substantially simultaneously to the reception of the specified vehicle configuration and the interface is configured to present the set of transaction prices and the quantifiable price ranges, and wherein the quantifiable price ranges are presented relative to the set of transaction prices.
2. The system of claim 1 , wherein the one or more models include a dealer cost model for a manufacturer associated with the vehicle configuration.
3. The system of claim 2 , wherein the dealer cost model is determined by determining an equation for deriving a holdback associated with a dealer cost relationship for the manufacturer from the historical transaction data.
4. The system of claim 3 , wherein the equation is determined by selecting the equation from a set of equations based on a set of rules, each equation of the set of equations associated with a vehicle invoice price for the manufacturer and wherein the selected equation is most consistent of the set of equations across all vehicle invoice prices.
5. The system of claim 3 , wherein the dealer cost model is determined for the manufacturer based on invoice data corresponding to the manufacturer, where the dealer cost model defines holdback as a function of one or more pieces of invoice data.
6. The system of claim 1 , wherein the one or more models include a price ratio model associated with the vehicle configuration.
7. The system of claim 6 , wherein the price ratio model is generated for the set of historical transaction data associated with the vehicle configuration based on multivariable regression analysis of a set of vehicle attributes in the historical transaction data corresponding to that vehicle configuration, wherein the price ratio model defines price ratio as a function of one or more vehicle attributes in the set of vehicle attributes.
8. A method, comprising:
obtaining historical transaction data, wherein the historical transaction data comprises data on vehicle transactions received from a set of data sources coupled to the vehicle data system over the network;
determining a plurality of sets of the historical transaction data, where each of the plurality of sets of historical transaction data is associated with a vehicle configuration;
determining pricing data corresponding to the vehicle configuration by applying one or more models to the set of historical transaction data associated with the vehicle configuration, wherein the pricing data includes a set of transaction prices and one or more quantifiable price ranges determined based on the set of historical transaction data associated with the vehicle configuration;
receiving a specified vehicle configuration from a user at a computing device; and
generating an interface based on the pricing data associated with the specified vehicle configuration, wherein the generation of the interface is initiated substantially simultaneously to the reception of the specified vehicle configuration and the interface is configured to present the set of transaction prices and the quantifiable price ranges, and wherein the quantifiable price ranges are presented relative to the set of transaction prices.
9. The method of claim 8 , wherein the one or more models include a dealer cost model for a manufacturer associated with the vehicle configuration.
10. The method of claim 9 , wherein the dealer cost model is determined by determining an equation for deriving a holdback associated with a dealer cost relationship for the manufacturer from the historical transaction data.
11. The method of claim 10 , wherein the equation is determined by selecting the equation from a set of equations based on a set of rules, each equation of the set of equations associated with a vehicle invoice price for the manufacturer and wherein the selected equation is most consistent of the set of equations across all vehicle invoice prices.
12. The method of claim 10 , wherein the dealer cost model is determined for the manufacturer based on invoice data corresponding to the manufacturer, where the dealer cost model defines holdback as a function of one or more pieces of invoice data.
13. The method of claim 8 , wherein the one or more models include a price ratio model associated with the vehicle configuration.
14. The method of claim 13 , wherein the price ratio model is generated for the set of historical transaction data associated with the vehicle configuration based on multivariable regression analysis of a set of vehicle attributes in the historical transaction data corresponding to that vehicle configuration, wherein the price ratio model defines price ratio as a function of one or more vehicle attributes in the set of vehicle attributes.
15. A non-transitory computer readable medium, comprising instructions for:
obtaining historical transaction data, wherein the historical transaction data comprises data on vehicle transactions received from a set of data sources coupled to the vehicle data system over the network;
determining a plurality of sets of the historical transaction data, where each of the plurality of sets of historical transaction data is associated with a vehicle configuration;
determining pricing data corresponding to the vehicle configuration by applying one or more models to the set of historical transaction data associated with the vehicle configuration, wherein the pricing data includes a set of transaction prices and one or more quantifiable price ranges determined based on the set of historical transaction data associated with the vehicle configuration;
receiving a specified vehicle configuration from a user at a computing device; and
generating an interface based on the pricing data associated with the specified vehicle configuration, wherein the generation of the interface is initiated substantially simultaneously to the reception of the specified vehicle configuration and the interface is configured to present the set of transaction prices and the quantifiable price ranges, and wherein the quantifiable price ranges are presented relative to the set of transaction prices.
16. The non-transitory computer readable medium of claim 15 , wherein the one or more models include a dealer cost model for a manufacturer associated with the vehicle configuration.
17. The non-transitory computer readable medium of claim 16 , wherein the dealer cost model is determined by determining an equation for deriving a holdback associated with a dealer cost relationship for the manufacturer from the historical transaction data.
18. The non-transitory computer readable medium of claim 17 , wherein the equation is determined by selecting the equation from a set of equations based on a set of rules, each equation of the set of equations associated with a vehicle invoice price for the manufacturer and wherein the selected equation is most consistent of the set of equations across all vehicle invoice prices.
19. The non-transitory computer readable medium of claim 17 , wherein the dealer cost model is determined for the manufacturer based on invoice data corresponding to the manufacturer, where the dealer cost model defines holdback as a function of one or more pieces of invoice data.
20. The non-transitory computer readable medium of claim 15 , wherein the one or more models include a price ratio model associated with the vehicle configuration.
21. The non-transitory computer readable medium of claim 20 , wherein the price ratio model is generated for the set of historical transaction data associated with the vehicle configuration based on multivariable regression analysis of a set of vehicle attributes in the historical transaction data corresponding to that vehicle configuration, wherein the price ratio model defines price ratio as a function of one or more vehicle attributes in the set of vehicle attributes.