System and method for sales generation in conjunction with a vehicle data system
Embodiments of sales generation, including sales generation employing reverse lead generation using vehicle data systems and methods, are presented herein. In particular, in certain embodiments a user may utilize the vehicle data system to obtain pricing data corresponding to a desired vehicle configuration. When the user is presented with the pricing data associated with the specified vehicle configuration the user may additionally be presented with an upfront price offered by a dealer, where by providing their personal information the user may obtain the name of the dealer offering the upfront price and may additionally be offered the opportunity to purchase the desired, or similar, vehicle at the upfront price.
1. A vehicle data system comprising
a processor;
a non-transitory computer readable medium comprising computer code for processing vehicle data, the computer code comprising instructions for:
obtaining a set of vehicle price records from a first set of distributed sources;
binning the vehicle price records based on at least one vehicle attribute and geography;
applying a first set of rules to the vehicle price records to generate a dealer quality score for each dealer in a set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers;
applying a second set of rules to determine at least one upfront price from at least one of the set of dealers that corresponds to a user-specified vehicle configuration;
providing a web page to a client computer, the web page having one or more input fields for a user to provide the user-specified vehicle configuration comprising a set of user-specified vehicle attributes;
receiving over a network the set of user-specified vehicle attributes; and
generating a responsive web page in response to the user submitting the user-specified vehicle attributes comprising the upfront price.
2. The vehicle data system of claim 1 , further comprising:
generating a dealer cost model for each of a set of manufacturers based on the vehicle price records containing pricing data, each dealer cost model defining holdback as a function of one or more additional pieces of pricing data;
binning the vehicle price records based on at least one vehicle attribute and geography;
generating a price ratio model for each bin based on multivariable regression analysis of a set of vehicle attributes in the price records corresponding to that bin, each price ratio model defining price ratio as a function of one or more vehicle attributes in the set of vehicle attributes;
applying a third set of rules to select a bin based on the set of user-specified vehicle attributes, the third set of rules selected based on at least one user-specified vehicle attribute and geography;
applying a fourth set of rules to select a dealer cost model based on at least one user-specified vehicle attribute;
applying the selected dealer cost model to a set of vehicle price records corresponding to the selected bin to generate a dealer cost;
applying the selected price ratio model corresponding to the selected bin to the set of vehicle price records corresponding to the selected bin to generate a price ratio;
generating an average price for the user-specified vehicle configuration as a function of dealer cost and price ratio;
generating one or more relative price ranges based on the average price for the user-specified vehicle configuration and a standard deviation of historical pricing data; and
fitting a curve fit to the price data from the set of vehicle price records corresponding to the selected bin.
3. The vehicle data system of claim 2 , wherein the responsive web page further comprises the curve.
4. The vehicle data system of claim 1 , further comprising code for:
obtaining a second set of vehicle price records from the first set of distributed sources;
applying the first set of rules to the second set of price records to update the dealer quality score for each dealer in the set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers.
5. The vehicle data system of claim 1 , further comprising applying a set of cleansing rules to the set of price records to remove one or more records of the set of price records.
6. The vehicle data system of claim 1 , further comprising applying a set of cleansing rules to the set of price data to replace vehicle data of one or more price records.
7. The vehicle data system of claim 1 , further comprising applying a set of binning rules to select the price records corresponding to the selected bin.
8. The vehicle data system of claim 1 , wherein set of vehicle price records comprise historical transaction records.
9. A vehicle data system comprising
a processor;
a non-transitory computer readable medium comprising computer code for processing vehicle data, the computer code comprising instructions for:
obtaining a set of vehicle price records from a first set of distributed sources;
binning the vehicle price records based on at least one vehicle attribute and geography;
applying a first set of rules to the vehicle price records to generate a dealer quality score for each dealer in a set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers;
applying a second set of rules to determine a set of selected dealers as a function of a user-specified geography, a user-specified vehicle configuration, and the dealer quality scores;
applying a third set of rules to determine at least one upfront price from at least one of the set of dealers that corresponds to a user-specified vehicle configuration;
providing a web page to a client computer, the web page having one or more input fields for a user to provide the user-specified vehicle configuration comprising a set of user-specified vehicle attributes;
receiving over a network the set of user-specified vehicle attributes; and
generating a responsive web page in response to the user submitting the user-specified vehicle attributes comprising the upfront price on a curve about an average price for the user-selected configuration, the curve based on a set of historical price records corresponding to a selected bin selected based on a user-specified geography and at least one user-specified attribute.
10. The vehicle data system of claim 9 , further comprising:
generating a dealer cost model for each of a set of manufacturers based on the vehicle price records containing pricing data, each dealer cost model defining holdback as a function of one or more additional pieces of pricing data;
binning the vehicle price records based on at least one vehicle attribute and geography;
generating a price ratio model for each bin based on multivariable regression analysis of a set of vehicle attributes in the price records corresponding to that bin, each price ratio model defining price ratio as a function of one or more vehicle attributes in the set of vehicle attributes;
applying a third set of rules to select a bin based on the set of user-specified vehicle attributes, the third set of rules selected based on at least one user-specified vehicle attribute and geography;
applying a fourth set of rules to select a dealer cost model based on at least one user-specified vehicle attribute;
applying the selected dealer cost model to a set of vehicle price records corresponding to the selected bin to generate a dealer cost;
applying the selected price ratio model corresponding to the selected bin to the set of vehicle price records corresponding to the selected bin to generate a price ratio;
generating the average price for the user-specified vehicle configuration as a function of dealer cost and price ratio;
generating one or more relative price ranges based on the average price for the user-specified vehicle configuration and a standard deviation of historical pricing data; and
wherein the curve is fitted to the price data from the set of vehicle price records corresponding to the selected bin.
11. The vehicle data system of claim 9 , further comprising code for:
obtaining a second set of vehicle price records from the first set of distributed sources;
applying the first set of rules to the second set of price records to update the dealer quality score for each dealer in the set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers.
12. The vehicle data system of claim 9 , further comprising applying a set of cleansing rules to the set of price records to remove one or more records of the set of price records.
13. The vehicle data system of claim 9 , further comprising applying a set of cleansing rules to the set of price data to replace vehicle data of one or more price records.
14. The vehicle data system of claim 9 , further comprising applying a set of binning rules to select the price records corresponding to the selected bin.
15. The vehicle data system of claim 9 , wherein set of vehicle price records comprise historical transaction records.
16. A vehicle data system comprising:
a processor;
a non-transitory computer readable medium comprising computer code for processing vehicle data, the computer code comprising instructions for:
obtaining a set of vehicle price records from a first set of distributed sources;
applying cleansing rules to the set of vehicle price records to generate a set of cleansed vehicle price records, comprising applying a first set of rules to cleanse the vehicle price records, the first set of rules defining transaction records to be removed as a function of one or more of required fields, transaction price, total gross or mileage;
applying a second set of rules to the set of cleansed vehicle price records to generate a dealer quality score for each dealer in a set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers;
applying a third set of rules to determine a set of selected dealers as a function of a user-specified geography, a set of user-specified vehicle attributes, and the dealer quality scores;
applying a fourth set of rules to determine at least one upfront price from at least one of the set of dealers that corresponds to a user-specified vehicle configuration;
providing a web page to a client computer, the web page having one or more input fields for a user to provide the user-specified vehicle configuration comprising a set of user-specified vehicle attributes;
receiving over a network the set of user-specified vehicle attributes; and
generating a responsive web page in response to the user submitting the user-specified vehicle attributes comprising the upfront price.
17. The vehicle data system of claim 16 , further comprising:
generating a dealer cost model for each of a set of manufacturers based on the vehicle price records containing pricing data, each dealer cost model defining holdback as a function of one or more additional pieces of pricing data;
binning the vehicle price records based on at least one vehicle attribute and geography;
generating a price ratio model for each bin based on multivariable regression analysis of a set of vehicle attributes in the price records corresponding to that bin, each price ratio model defining price ratio as a function of one or more vehicle attributes in the set of vehicle attributes;
applying a fifth set of rules to select a bin based on the set of user-specified vehicle attributes, the fifth set of rules selected based on at least one user-specified vehicle attribute and geography;
applying a sixth set of rules to select a dealer cost model based on at least one user-specified vehicle attribute;
applying the selected dealer cost model to a set of vehicle price records corresponding to the selected bin to generate a dealer cost;
applying the selected price ratio model corresponding to the selected bin to the set of vehicle price records corresponding to the selected bin to generate a price ratio;
generating an average price for the user-specified vehicle configuration as a function of dealer cost and price ratio;
generating one or more relative price ranges based on the average price for the user-specified vehicle configuration and a standard deviation of historical pricing data; and
fitting a curve fit to the price data from the set of vehicle price records corresponding to the selected bin.
18. The vehicle data system of claim 16 , further comprising code for:
obtaining a second set of vehicle price records from the first set of distributed sources;
applying the first set of rules to the second set of price records to update the dealer quality score for each dealer in the set of dealers as a function of historical upfront prices offered for vehicles and actual prices at which the vehicles were sold to consumers.
19. The vehicle data system of claim 16 , wherein set of vehicle price records comprise historical transaction records.