Oakland, CA, United States of America

Yijia Chen

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.9

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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5 patents (USPTO):Explore Patents

Title: Innovations of Yijia Chen in Order Fulfillment Systems

Introduction

Yijia Chen is an accomplished inventor based in Oakland, CA, known for his significant contributions to the field of online order fulfillment systems. With a total of five patents to his name, Chen has developed innovative solutions that enhance the efficiency of order processing and shopper allocation.

Latest Patents

One of Chen's latest patents focuses on "Allocating shoppers for order fulfillment by an online concierge system accounting for variable numbers of shoppers across different time windows and varying capabilities for fulfilling orders." This invention utilizes a machine learning model to optimize the allocation of shoppers based on historical data, ensuring timely and efficient order fulfillment. Another notable patent addresses the challenge of "Allocating shoppers and orders for fulfillment by an online concierge system to account for variable numbers of shoppers across different time windows." This system predicts shopper availability and creates candidate groups for order fulfillment, selecting the most cost-effective group for processing orders.

Career Highlights

Yijia Chen currently works at Maplebear Inc., where he applies his expertise in machine learning and data analysis to improve online shopping experiences. His innovative approaches have positioned him as a key player in the development of advanced order fulfillment technologies.

Collaborations

Chen collaborates with talented individuals such as Houtao Deng and Ji Chen, who contribute to the success of their projects at Maplebear Inc. Their teamwork fosters an environment of creativity and innovation.

Conclusion

Yijia Chen's work in the realm of online order fulfillment systems showcases his dedication to improving efficiency through innovative technologies. His patents reflect a deep understanding of machine learning and shopper dynamics, making significant strides in the industry.

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