SYSTEM AND METHOD FOR DETERMINING BEST VENUE FOR SELLING A VEHICLE

1 . A system, comprising:

a communication interface configured to communicate with one or both of the database and a client device; and

a processor in communication with the database and the communication interface, the processor configured to:

receive, through the communication interface, a request for evaluating a vehicle, the request including vehicle attribute information;

generate a sales price prediction of the vehicle at a plurality of venue locations based on the vehicle attribute information and mathematical models for predicting vehicle sale prices;

determine a preferred venue from the plurality of venue locations based, at least in part, on the sales price prediction;

generate an ordered list of venues including the preferred venue and at least one of the plurality of venue locations;

generate an interface including the ordered list of venues, the preferred venue, and a selection option; and

control display of the interface.

2 . The system of claim 1 , wherein the vehicle attribute information includes at least one of vehicle model, vehicle year, vehicle make, vehicle condition, vehicle mileage, or vehicle location.

3 . The system of claim 1 , wherein the sales price prediction predicts sales through a plurality of sales operators.

4 . The system of claim 1 , wherein the communication interface is further configured to receive a user input corresponding to a selected venue from the ordered list of venues; and

wherein the processor is further configured to:

generate an updated ordered list of venues based on the selected venue, wherein at least one venue is placed a new order in the updated ordered list of venues;

generate an updated interface including the updated ordered list of venues; and

control display of the updated interface.

5 . The system of claim 1 , wherein the selection option corresponds to a consignment selection option at a selected sales operator.

6 . The system of claim 5 , wherein the selected sales operator is a vehicle auction house.

7 . The system of claim 1 , wherein the sales price prediction of the vehicle is a median sales amount calculated using a mathematical model.

8 . The system of claim 7 , wherein each of the plurality of benchmark vehicles share at least one common vehicle attribute with the vehicle.

9 . The system of claim 1 , wherein the sales price prediction of the vehicle is a mean sales amount calculated using a mathematical model.

10 . The system of claim 9 , wherein the mathematical model uses vehicle attributes of the vehicle.

11 . The system of claim 1 , wherein the processor is further configured to:

monitor historical sales information;

detect when a change in the historical sales information changes the sales price prediction of the vehicle;

generate an alert identifying the change in the sales price prediction of the vehicle; and

control transmission of the alert to the client device, wherein the alert is configured to update the ordered list of venues displayed on the interface.

12 . A method for identifying a recommended venue, comprising:

developing mathematical models for predicting a sale price of a vehicle;

receiving, through a communication interface, a request for evaluating the vehicle, the request including vehicle attribute information;

generating a sales price prediction of the vehicle at a plurality of venue locations based on the vehicle attribute information and the mathematical models;

determining a preferred venue from the plurality of venue locations based, at least in part, on the sales price prediction;

generating an ordered list of venues including the preferred venue and at least one of the plurality of venue locations;

generating an interface including the ordered list of venues, the preferred venue, and a selection option; and

controlling display of the interface.

13 . The method of claim 12 , wherein the vehicle attribute information includes at least one of vehicle model, vehicle year, vehicle make, vehicle condition, vehicle mileage, or vehicle location.

14 . The method of claim 12 , wherein the sales price prediction predicts sales through a plurality of sales operators.

15 . The method of claim 12 , further comprising:

receiving a user input corresponding to a selected venue from the ordered list of venues;

generating an updated ordered list of venues based on the selected venue, wherein at least one venue is placed in a new order in the updated ordered list of venues;

generating an updated interface including the updated ordered list of venues; and

controlling display of the updated interface.

16 . The method of claim 12 , wherein the selection option corresponds to a consignment selection option at a selected sales operator.

17 . The method of claim 16 , wherein the selected sales operator is a vehicle auction house.

18 . The method of claim 12 , wherein the sales price prediction of the vehicle is a median sales amount calculated using a mathematical model.

19 . The method of claim 12 , wherein each of the plurality of benchmark vehicles share at least one common vehicle attribute with the vehicle.

20 . The method of claim 12 , wherein the sales price prediction of the vehicle is a mean sales amount calculated using a mathematical model.