The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 06, 2026

Filed:

Dec. 29, 2023
Applicant:

Highradius Corporation, Houston, TX (US);

Inventors:

Anupam Kunwar, Hyderabad, IN;

Aravind Mvss, Hyderabad, IN;

Apoorva Shrivastava, Hyderabad, IN;

Maitreya Mohapatra, Hyderabad, IN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/0637 (2023.01); G06Q 40/12 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/0637 (2013.01); G06Q 40/12 (2013.12); G06Q 40/125 (2013.12);
Abstract

A machine learning based computing method for computing future cash flow for first users, is disclosed. The machine learning based computing method includes: receiving inputs from second users; extracting data associated with cash flow data of the first users and second information associated with third users, from databases based on the inputs; generating features associated with the third users based on the extracted data; generating clusters associated with the third users of entities associated with the first users based on the features, using a machine learning model; computing future cash flow for the clusters associated with the third users by adding the future cash flow determined for each cluster associated with the third users, for entities associated with the first customers; and providing an output of the future cash flow for the entities associated with the first users, to second users on user interface associated with electronic devices.


Find Patent Forward Citations

Kunwar, Anupam. (2026). Machine learning based systems and methods for forecasting cash flow for a professional employer organization (U.S. Patent No. 12755229). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12755229

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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