Systems, methods, and devices for determining and displaying market relative position of unique items
The disclosure herein provides systems, methods, and devices for determining and displaying market relative positions and/or attributes of unique items. A visualization system for generating electronic visualizations of market-relative attributes of unique items comprises an item selection receiver, a visualization compilation engine, and a rendering engine.
1. A computer-implemented method for generating electronic visualizations of market-relative attributes of unique items, the computer-implemented method comprising:
receiving electronically, by a computer system, an indication of a selected item, the selected item being a unique item;
accessing, by the computer system, an electronic database to determine a plurality of alternative unique items;
generating, by the computer system, a predicted selling price model by analyzing a plurality of attributes of the plurality of alternative unique items, wherein the predicted selling price model is configured to enable generation of a predicted selling price region;
generating, by the computer system, market-relative attribute information and an electronic visualization of the market-relative attribute information in a real-time dynamically generated user-interface, the user-interface updatable based on user interactions with the electronic visualization, the electronic visualization comprising:
a plurality of markers, wherein each of the markers is positioned to show a listing price of one of the plurality of alternative unique items;
the predicted selling price region generated based on the predicted selling price model and configured to show a range of predicted selling prices for each of a plurality of primary attribute values;
wherein each of the plurality of markers is configured to show a visual cue of a degree of relative similarity of the alternative unique item associated with the marker to the selected item, wherein the relative similarity is based on a quantitative similarity score that is based on differences in a plurality of additional attributes other than the primary attribute;
wherein markers associated with alternative unique items having a listing price within the range of predicted selling prices are positioned within the predicted selling price region; and
transmitting, by the computer system, to the user device for processing, the market-relative attribute information;
wherein the computer system comprises a computer processor and electronic memory.
2. The computer-implemented method of claim 1 , wherein the plurality of markers are interactive markers configured to trigger a visible popup dialogue responsive to being interacted with via the user device, the visible popup dialogue comprising information about the respective alternative unique item associated with the interactive marker being interacted with.
3. The computer-implemented method of claim 1 , wherein the unique item and the alternative unique items are vehicles.
4. The computer-implemented method of claim 1 , wherein the primary attribute is associated with vehicles.
5. The computer-implemented method of claim 1 , wherein the primary attribute indicates a vehicle mileage.
6. The computer-implemented method of claim 1 , wherein the user selection is associated with a specific unique item.
7. The computer-implemented method of claim 1 , wherein the primary attribute indicates a vehicle mileage.
8. The computer-implemented method of claim 1 , wherein generating the predicted selling price model comprises using regression techniques.
9. A computer readable non-transitory storage medium having a computer program stored thereon for causing a suitably programmed computer system to process by one or more processors computer-program code by performing a method, the method comprising:
receiving electronically, by a computer system, an indication of a selected item, the selected item being a unique item;
accessing, by the computer system, an electronic database to determine a plurality of alternative unique items;
generating, by the computer system, a predicted selling price model by analyzing a plurality of attributes of the plurality of alternative unique items, wherein the predicted selling price model is configured to enable generation of a predicted selling price region;
generating, by the computer system, market-relative attribute information and an electronic visualization of the market-relative attribute information in a real-time dynamically generated user-interface, the user-interface updatable based on user interactions with the electronic visualization, the electronic visualization comprising:
a plurality of markers, wherein each of the markers is positioned on the two-axis plot to show a listing price of one of the plurality of alternative unique items; and
the predicted selling price region generated based on the predicted selling price model and configured to show a range of predicted selling prices for each of a plurality of primary attribute values;
wherein each of the plurality of markers is configured to show a visual cue of a degree of relative similarity of the alternative unique item associated with the marker to the selected item, wherein the relative similarity is based on a quantitative similarity score that is based on differences in a plurality of additional attributes other than the primary attribute;
wherein markers associated with alternative unique items having a listing price within the range of predicted selling prices are positioned within the predicted selling price region; and
transmitting, by the computer system, to the user device for processing, the market-relative attribute information.
10. The computer-implemented method of claim 1 , wherein the plurality of markers are interactive markers configured to trigger a visible popup dialogue responsive to being interacted with via the user device, the visible popup dialogue comprising information about the respective alternative unique item associated with the interactive marker being interacted with.
11. The computer readable non-transitory storage medium of claim 9 , wherein the unique item and the alternative unique items are vehicles.
12. The computer readable non-transitory storage medium of claim 9 , wherein the primary attribute is associated with vehicles.
13. The computer readable non-transitory storage medium of claim 9 , wherein the primary attribute indicates a vehicle mileage.
14. The computer readable non-transitory storage medium of claim 9 , wherein the user selection is associated with a specific unique item.
15. The computer readable non-transitory storage medium of claim 9 , wherein the primary attribute indicates a vehicle mileage.
16. The computer readable non-transitory storage medium of claim 9 , wherein generating the predicted selling price model comprises using regression techniques.