System and method for the analysis of pricing data including dealer costs for vehicles and other commodities
First Claim
1. A method, comprising:
- at a vehicle data system running on one or more server machines coupled to one or more computing devices over a network;
obtaining, from one or more data sources at a time interval by the vehicle data system running on the one or more server machines, data on a set of dealers, wherein the data comprises information on a payout program, a number of vehicles sold, and historical values associated with at least one dealer cost component, wherein the at least one dealer cost component comprises a Customer Satisfaction Index (CSI), and wherein the historical values comprise historical dealer CSI scores;
constructing, by the vehicle data system running on the one or more server machines, a predictive model to determine an expected CSI score at a particular level, wherein the predictive model comprises a regression analysis on the data including the historical dealer CSI scores;
determining, by the vehicle data system running on the one or more server machines utilizing the expected CSI score at the particular level, an expected average of the expected CSI score for a time period;
generating a market-share probability density function utilizing the historical dealer CSI scores;
determining, by the vehicle data system running on the one or more server machines utilizing the market-share probability density function and the expected average of the expected CSI score predicted for the time period, a probability of a transaction having a given CSI score;
determining, by the vehicle data system running on the one or more server machines utilizing the probability of the transaction having the given CSI score, an average CSI bonus payout per vehicle for the time period; and
producing, by the vehicle data system running on the one or more server machines, an actual dealer cost by adjusting a base dealer cost with the average CSI bonus payout per vehicle for the time period.
2 Assignments
0 Petitions
Accused Products
Abstract
The sale of a vehicle may involve many cost and profit components. It is generally impossible for a potential buyer to know all of these components. For example, dealers may be paid by original equipment manufacturers (OEMs) on their Customer Satisfaction Index (CSI) and volume bonus. Embodiments disclosed herein may determine and present to a user an accurate estimate of dealer cost, taking into consideration an aggregate of dealer cost components. For each component, a predictive model may be built to determine an expected value at a particular level. An average of the expected value of the component is then calculated for the most recent month. From that, an average bonus payout per vehicle for the most recent month may be determined. A base dealer cost is adjusted to account for these payouts to produce an accurate estimate of actual dealer cost.
17 Citations
21 Claims
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1. A method, comprising:
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at a vehicle data system running on one or more server machines coupled to one or more computing devices over a network; obtaining, from one or more data sources at a time interval by the vehicle data system running on the one or more server machines, data on a set of dealers, wherein the data comprises information on a payout program, a number of vehicles sold, and historical values associated with at least one dealer cost component, wherein the at least one dealer cost component comprises a Customer Satisfaction Index (CSI), and wherein the historical values comprise historical dealer CSI scores; constructing, by the vehicle data system running on the one or more server machines, a predictive model to determine an expected CSI score at a particular level, wherein the predictive model comprises a regression analysis on the data including the historical dealer CSI scores; determining, by the vehicle data system running on the one or more server machines utilizing the expected CSI score at the particular level, an expected average of the expected CSI score for a time period; generating a market-share probability density function utilizing the historical dealer CSI scores; determining, by the vehicle data system running on the one or more server machines utilizing the market-share probability density function and the expected average of the expected CSI score predicted for the time period, a probability of a transaction having a given CSI score; determining, by the vehicle data system running on the one or more server machines utilizing the probability of the transaction having the given CSI score, an average CSI bonus payout per vehicle for the time period; and producing, by the vehicle data system running on the one or more server machines, an actual dealer cost by adjusting a base dealer cost with the average CSI bonus payout per vehicle for the time period. - View Dependent Claims (2, 3, 4, 5, 6, 14, 15, 16)
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7. A computer program product comprising at least one non-transitory computer readable medium storing instructions translatable by at least one processor to perform:
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obtaining data on a set of dealers from one or more data sources at a time interval, wherein the data comprises information on a payout program, a number of vehicles sold, and historical values associated with at least one dealer cost component, wherein the at least one dealer cost component comprises a Customer Satisfaction Index (CSI), and wherein the historical values comprise historical dealer CSI scores; constructing a predictive model to determine an expected CSI score at a particular level, wherein the predictive model comprises a regression analysis on the data including the historical dealer CSI scores; determining an expected average of the expected CSI score for a time period utilizing the expected CSI score at the particular level; generating a market-share probability density function utilizing the historical dealer CSI scores; determining a probability of a transaction having a given CSI score utilizing the market-share probability density function and the expected average of the expected CSI score predicted for the time period; determining an average CSI bonus payout per vehicle for the time period utilizing the probability of the transaction having the given CSI score; and producing an actual dealer cost by adjusting a base dealer cost with the average CSI bonus payout per vehicle for the time period. - View Dependent Claims (8, 9, 10, 11, 12, 13)
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17. A system, comprising:
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one or more computing devices; and a vehicle data system running on one or more server machines coupled to the one or more computing devices over a network, the vehicle data system comprising; a processing module, the processing module being configured to produce an actual dealer cost by adjusting a base dealer cost with a Customer Satisfaction Index (CSI) bonus payout per vehicle for a time period; wherein determining the CSI bonus payout per vehicle for the time period comprises; constructing a predictive model to determine an expected CSI score at a particular level, wherein the predictive model comprises a regression analysis on historical dealer CSI scores obtained from one or more data sources; determining an expected average of the expected CSI score for the time period utilizing the expected CSI score at the particular level; generating a market-share probability density function utilizing the historical dealer CSI scores; determining a probability of a transaction having a given CSI score utilizing the market-share probability density function and the expected average of the expected CSI score predicted for the time period; and determining the CSI bonus payout per vehicle for the time period utilizing the probability of the transaction having the given CSI score. - View Dependent Claims (18, 19, 20, 21)
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Specification