US 11,995,671 B1
Predictive analytical model for commercial real estate lease rent rates
Brian C. Jordan, Phoenix, AZ (US)
Assigned to GEOSPATIAL ANALYTICS, INC., Phoenix, AZ (US)
Filed by GEOSPATIAL ANALYTICS, INC., Phoenix, AZ (US)
Filed on Jan. 12, 2022, as Appl. No. 17/574,028.
Claims priority of provisional application 63/296,216, filed on Jan. 4, 2022.
Claims priority of provisional application 63/136,792, filed on Jan. 13, 2021.
Int. Cl. G06Q 30/0201 (2023.01); G06Q 30/06 (2023.01); G06Q 50/16 (2012.01)
CPC G06Q 30/0206 (2013.01) [G06Q 30/06 (2013.01); G06Q 50/16 (2013.01)] 9 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, at a computing system, a series of independent variables that represent attributes of a specific commercial real estate property;
scaling and normalizing, by a processor of the computing system, the series of independent variables;
assembling the scaled and normalized series of independent variables in a database of the computing system;
applying weightings to the assembled scaled and normalized series of independent variables;
analyzing data relative to past results from industry data and from portfolio data from a user;
predicting a rental rate for the specific commercial real estate property;
transmitting, to a potential tenant for the specific commercial real estate property, an offer to lease at the rental rate;
storing the rental rate in the database,
organizing, by the computing system, the database into data tables;
creating, by the computing system, a linked series of data fields to form a data structure that contains the rental rate, the independent variables, the past results, the portfolio data, and the weightings;
tuning, by the computing system, the database to optimize database performance, wherein the tuning comprises reducing in and out bottlenecks by placing frequently used files on first and second separate file systems, wherein the first file system is operative on a first physical computing resource, and wherein the second file system is operative on a second physical computing resource different from the first physical computing resource; and
speeding searches by using a key field in associating, by the computing system, data for the rental rate and the independent variables within the data structure.