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For the Inventor, By the Inventor

Hyderabad Telangana, India

Apoorva Shrivastava

This inventor holds 5 USPTO granted patents and 2 published patent applications. Top assignee: Highradius Corporation. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Apoorva Shrivastava. Retrieved from https://idiyas.com/inventor/apoorva-shrivastava

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

USPTO Granted Patents = 5 

% Patents Active = 40.0

Average Co-Inventor Count = 4.6

ph-index = 1


Company Filing History:

goldMedal5 out of 24 
 
Highradius Corporation
 patents

Years Active: 2025-2026

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5 patents (USPTO):Explore Patents
1. 12762580 - Machine learning (ML)-based system and method for customer segmentation and worklist generation (2026-10-13),
2. 12755229 - Machine learning based systems and methods for forecasting cash flow for a professional employer organization (2026-10-06),
3. 12657596 - Machine learning (ML)-based system and method for predicting financial transaction patterns (2026-06-16),
4. 12567079 - Machine-learning (ML)-based system and method for generating DSO impact score for financial transaction (2026-03-03),
5. 12475144 - Machine learning based systems and methods for identification of transaction category from coded ERP data (2025-11-18),

Title: Innovations by Apoorva Shrivastava

Introduction

Apoorva Shrivastava is a notable inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of machine learning, particularly in financial transaction analysis. With a total of 5 patents to his name, his work is paving the way for innovative solutions in finance.

Latest Patents

Apoorva's latest patents include a machine learning (ML)-based system and method for predicting financial transaction patterns. This system involves receiving invoice data from customers and generating granularity level instances based on various attributes. It computes payment frequency bucket features and assigns invoices to clusters, categorizing customers as weekly, monthly, or annual payers. Another significant patent is a machine learning-based system for generating a DSO impact score for financial transactions. This system calculates DSO components and generates an impact score based on historical customer information, providing valuable insights for financial management.

Career Highlights

Apoorva currently works at HighRadius Corporation, where he applies his expertise in machine learning to develop innovative financial solutions. His work focuses on enhancing the efficiency of financial transactions and improving customer payment patterns.

Collaborations

Apoorva collaborates with talented individuals such as Anupam Kunwar and Sayanta Mukherjee, contributing to a dynamic work environment that fosters innovation.

Conclusion

Apoorva Shrivastava's contributions to machine learning and financial technology are noteworthy. His patents reflect a commitment to advancing the field and providing practical solutions for financial transaction management.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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