Advanced data science systems and methods useful for auction pricing optimization over network
US10445823B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 19, 2016 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Nov 29, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0283
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An advanced data platform may receive an asset pricing request containing information about an asset. An optimization engine may determine a predicted price for the asset at different locations and times and compute a price matrix accordingly. The engine may identify an optimized predicted price from the price matrix, taking into account the spatial and temporal factors and various optimization conditions. A view for presentation of the optimized predicted price for the asset on a client device is generated and communicated to the client device over a network. When the asset is a vehicle, the engine may compute a linear regression model that defines a set of input variables with associated regression coefficients, the set of input variables comprising input variables representing attributes describing the vehicle.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.