This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Coupang, Corporation. Active years: 2020-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020-2025
Title: The Innovative Contributions of Ping Yin
Introduction
Ping Yin is a notable inventor based in Shanghai, China. He has made significant contributions to the field of technology through his innovative patents. With a total of 2 patents, his work focuses on improving inventory management and predictive systems.
Latest Patents
Ping Yin's latest patents include "Computerized systems and methods for predicting and managing scrap" and "Computer-implemented systems and methods for intelligent prediction of out of stock items and proactive reordering." The first patent outlines a system that predicts the likelihood of stock keeping units (SKUs) being scrapped. It involves receiving requests to initiate a prediction process, inputting data into a trained model, and generating a matrix to determine a threshold prediction value. This allows for preventative actions to be taken based on the predictions. The second patent addresses out of stock conditions by utilizing a decision tree to analyze historical data. It predicts the cause of the out of stock situation and contacts suppliers to request more items based on the findings.
Career Highlights
Ping Yin is currently employed at Coupang Corporation, where he applies his expertise in developing innovative solutions. His work has had a significant impact on inventory management practices within the company.
Collaborations
Some of his coworkers include Zonghan Wu and Wei Wei, who contribute to the collaborative environment that fosters innovation at Coupang Corporation.
Conclusion
Ping Yin's contributions to technology through his patents demonstrate his commitment to advancing inventory management systems. His innovative approaches are paving the way for more efficient practices in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
