West Chester, OH, United States of America

Ranjit Kumar Choudhary

This inventor holds 2 USPTO granted patents. Top assignees: The Procter & Gamble, The Procter Gamble Company. Active years: 2011-2012.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ranjit Kumar Choudhary. Retrieved from https://idiyas.com/inventor/ranjit-kumar-choudhary

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 26(Granted Patents)


Company Filing History:


Years Active: 2011-2012

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2 patents (USPTO):Explore Patents

Title: Ranjit Kumar Choudhary: Innovator in Retail Traffic Prediction

Introduction

Ranjit Kumar Choudhary is an accomplished inventor based in West Chester, OH (US). He has made significant contributions to the field of retail analytics, particularly in predicting shopper traffic. With a total of 2 patents, his work has the potential to transform how retailers understand consumer behavior.

Latest Patents

Choudhary's latest patents focus on mathematical models for predicting shopper traffic at retail stores. These models are designed to develop metrics for measuring impressions related to in-store advertising. His innovative approach provides valuable insights for retailers looking to optimize their marketing strategies.

Career Highlights

Throughout his career, Ranjit Kumar Choudhary has worked with notable companies, including Procter & Gamble. His experience in these organizations has equipped him with the knowledge and skills necessary to excel in his field.

Collaborations

Choudhary has collaborated with talented individuals such as Jayaraman Anand and Kathryn Byrd Young. These partnerships have contributed to the advancement of his research and innovations.

Conclusion

Ranjit Kumar Choudhary is a notable inventor whose work in predicting shopper traffic is paving the way for advancements in retail analytics. His contributions are essential for understanding consumer behavior and enhancing in-store advertising effectiveness.

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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