San Francisco, CA, United States of America

Abhay Pawar

USPTO Granted Patents = 3 

Average Co-Inventor Count = 1.3

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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3 patents (USPTO):Explore Patents

Title: Abhay Pawar: Innovator in Online Concierge Systems

Introduction

Abhay Pawar is a notable inventor based in San Francisco, CA, who has made significant contributions to the field of online concierge systems. With a total of three patents to his name, he has developed innovative solutions that enhance the shopping experience for customers.

Latest Patents

Abhay Pawar's latest patents focus on optimizing order fulfillment and identifying candidate replacement items. One of his patents involves a system that maintains a graph of items available for purchase, allowing the online concierge system to identify candidate replacement items based on customer behavior. This system accounts for the relationships between items and the frequency of replacements, ensuring that customers receive relevant suggestions. Another patent addresses the selection of retail locations for order fulfillment by utilizing a machine learning model. This model predicts the likelihood of incomplete fulfillment based on historical data, enabling the system to choose the most efficient location for order processing.

Career Highlights

Abhay Pawar currently works at Maplebear Inc., where he applies his expertise in developing advanced online shopping solutions. His work has significantly improved the efficiency of order fulfillment processes, making it easier for customers to find and receive the items they need.

Collaborations

Some of Abhay's coworkers include Sharath Rao Karikurve and Shishir Kumar Prasad, who collaborate with him on various projects at Maplebear Inc. Their combined efforts contribute to the innovative advancements in the company's online concierge services.

Conclusion

Abhay Pawar's contributions to the field of online concierge systems demonstrate his commitment to enhancing the customer shopping experience through innovative technology. His patents reflect a deep understanding of consumer behavior and the application of machine learning in retail.

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