Patent ID: 11935119
Assignee: nan
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system for pricing income sharing agreements by establishing income valuations, the system comprising:
at least one processor of a server; and a non-transitory storage device of the server storing instructions that, when executed by the processor of the server, cause the server to perform operations comprising:
obtain an income sharing agreement query regarding a first entity;
determine an entity type of the first entity;
obtain income valuation information regarding the first entity based on the income sharing agreement query, and determined entity type;

train a machine learning model to map input variables to a quantity or value of income valuation for the first entity, wherein the machine learning model collect: the income valuation information the machine learning model utilizing principal component analysis to convert a set of variables or input data into a set of values of linearly uncorrelated variables which include a first principal component that has a largest possible variance;
convert the income valuation information into a first set of variables representing other characteristics of the first entity to define one or more variables that are more important than other variables or reduce a number of variables needed to be trained and computed by the machine learning model, wherein a cluster is created from overlapping. qualities after a predetermined number of occurrences in past entities which then are stored as the one or more variables to be applied to entities with associated entity specific information wherein the duster provides a higher weighted average in the determination of the income valuation of the first entity,
determine that a data pool with a predetermined amount of data with first quality data point, a second quality data point, and third quality data point corresponding to the first entity exists;
factor in, wherein when there is no data pool found which factors in a first data pool with the predetermined amount of data with the first quality data point and the second quality data point to a second data pool with the predetermined amount of data with the second quality data point and the third quality data point;
generate the income valuation for the first entity based on the machine learning model
generate an income sharing agreement based on the income valuation in a digital or physical format;
analyze data from a plurality of data pools on the storage device using prior income information for a plurality of entity types in a plurality of industries trained on the machine learning model:
determine, by the machine learning model, from the analyzed data a location area where economic growth is to occur.