Yonkers, NY, United States of America

Shubhendu Trivedi

This inventor holds 1 USPTO granted patent. Top assignee: Zs Associates, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shubhendu Trivedi. Retrieved from https://idiyas.com/inventor/shubhendu-trivedi-5gsnilfx

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

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Shubhendu Trivedi: Innovator in Predictive Analytics

Introduction

Shubhendu Trivedi is a notable inventor based in Yonkers, NY (US). He has made significant contributions to the field of predictive analytics, particularly in the food industry. His innovative approach utilizes artificial intelligence to enhance market performance predictions.

Latest Patents

Trivedi holds a patent for a "System and method for predicting food product sales utilizing a plurality of artificial-intelligence sub-models." This patent discloses methods and systems for predicting and projecting market performance for a product or concept using a suite of artificial intelligence models. The method involves receiving attributes of a product, executing a computer model to generate a projected market performance metric, and presenting the projected attribute.

Career Highlights

Shubhendu Trivedi is currently employed at ZS Associates, Inc., where he applies his expertise in predictive analytics. His work focuses on leveraging artificial intelligence to improve sales forecasting and market analysis.

Collaborations

One of his notable coworkers is Tim Joyce, with whom he collaborates on various projects within the company.

Conclusion

Shubhendu Trivedi's innovative work in predictive analytics showcases the potential of artificial intelligence in enhancing market performance predictions. His contributions are paving the way for advancements in the food industry and beyond.

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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