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Visual discovery tool for automotive manufacturers, with network encryption, data conditioning, and prediction engine

  • US 10,430,848 B2
  • Filed: 03/19/2018
  • Issued: 10/01/2019
  • Est. Priority Date: 10/18/2016
  • Status: Active Grant
First Claim
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1. A visual assessment tool, with network encryption, data conditioning, and prediction, for use by an automotive manufacturer, the tool comprising:

  • a vehicle records extraction interface configured to obtain vehicle records from application-specific file source databases and at least temporarily store the vehicle records in at least one vehicle records extraction database;

    an external parameter extraction interface configured to obtain external parameters comprising current loan rates and/or incentives available from one or more external sources;

    a vehicle alert database configured to receive at least some of the vehicle records from the vehicle records extraction database;

    a vehicle manufacturer data interface configured to pass data from the vehicle alert database to a vehicle manufacturer database via encrypted network connection, thereby maintaining data security; and

    at least one computer processor configured to communicate with the extraction interfaces and the vehicle alert database and to perform computer-executable instructions to at least;

    use the extraction interface to receive, over a network, vehicle records from the application-specific file source databases;

    load the vehicle records into one or more of the at least one extraction database based in part on the file source database from which each vehicle record was sent;

    selectively remove, based on disqualifying criteria, one or more vehicle records received from the application-specific file source databases from one or more of the plurality of extraction databases;

    selectively modify, based on modification criteria, one or more vehicle records in one or more of the plurality of extraction databases, the selective removal and selective modification resulting in standardized vehicle records;

    transfer the standardized vehicle records to the vehicle alert database, wherein the standardized vehicle data records comprise;

    a customer name for a previously sold vehicle and that customer'"'"'s contact information, the customer name comprising a name of a past customer not known to be currently shopping or looking for a new vehicle;

    a vehicle identification number of the previously sold vehicle;

    data from a deal that resulted in a previous sale to the customer, the data sufficient to show or obtain;

    the customer'"'"'s current monthly payment for the previously sold vehicle;

    an estimated current trade value of the previously sold vehicle; and

    an estimated current payoff amount of the previously sold vehicle;

    use the standardized vehicle records in the vehicle alert database to automatically evaluate a specific new deal proposal for each member of a set of past customers to determine which past customers are good prospects for offering such deal proposals on favorable terms, wherein favorable terms comprise at least the same or lower monthly payments for a given customer, thereby determining that certain past customers should be included in a graphical representation of aggregate alert data, the automatic evaluation comprising;

    automatically determining for each of the past customers a new suggested replacement vehicle for the previously sold vehicle using a one-to-one algorithmic association protocol, thereby limiting use of computer resources by confining analysis to one new suggested vehicle per customer for the determination of whether that customer is an “

    alert”

    ;

    periodically receiving updates to current trade value and current payoff amount for the set of past customers;

    dynamically receiving updates to one or more external parameters through the external parameter extraction interface;

    determining customer-specific proposed payments and “

    alert”

    status for each new suggested replacement vehicle by;

    obtaining a price of the new suggested replacement vehicle for each customer;

    obtaining a net trade-in equity by combining the estimated trade value for each customer with the estimated payoff amount of the previously sold vehicle to that customer, wherein the trade-in equity may be either negative equity or positive equity;

    determining an amount to be financed by combining the price of the new suggested vehicle with any obtained net trade-in equity, whether positive or negative;

    using the amount to be financed, updating one or more external parameters to determine the new proposed payment;

    comparing each customer'"'"'s current payment and the customer-specific new proposed payment to determine one or more differences; and

    analyzing the differences to determine those meeting a criterion to identify the customer as an “

    alert”

    for outreach because the difference meets a favorability condition;

    calculating the aggregate alert data for the favorable deals resulting from analyzing the differences, the aggregate alert data representing multiple alerts from multiple dealerships and preventing access to sensitive data about particular individuals;

    via the vehicle manufacturer data interface, transmitting instructions for the graphical representation of the aggregate alert data for display using a graphical user interface, wherein the graphical representation prevents access to personally identifying information by omitting it from aggregate alert data and using encrypted connections for data transfer;

    via a dynamic incentive adjustment tool, accepting user input to adjust at least one incentive parameter;

    in response to the adjustment of the at least one incentive parameter using the dynamic incentive adjustment tool, dynamically determining the effect of the at least one incentive parameter adjustment on the number of customers for whom the favorability condition is satisfied by updating the aggregate alert data; and

    in response to the adjustment of the at least one incentive parameter and the determination of the effect, dynamically configuring refreshed alert information for automatic display to a user through the graphical user interface by updating the instructions for the graphical representation of the aggregate alert data, the refreshed alert information corresponding to a subset of the set of past customers, the subset comprising those past customers for whom the favorability condition is satisfied after the updates to the external parameters have been applied;

    wherein the refreshed alert information is configured to provide the user a visual assessment for use by automotive manufacturer personnel.

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