This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Lei Jin: Innovator in Machine Learning for Delivery Predictions
Introduction
Lei Jin is a prominent inventor based in Champaign, IL (US). He has made significant contributions to the field of machine learning, particularly in predicting late deliveries for online orders. His innovative approach leverages advanced algorithms to enhance the efficiency of delivery systems.
Latest Patents
Lei Jin holds a patent for a groundbreaking invention titled "Machine learning prediction of late deliveries of orders placed with an online system." This patent describes a trained model that predicts, in real time, the late delivery rate for orders placed in an online system. The system utilizes data related to placed orders and signals concerning supply and demand states. It applies a delivery prediction model to output late delivery scores, which indicate the respective rates of late deliveries for various service options. The online system then compares these scores with threshold scores and triggers actions based on the results.
Career Highlights
Currently, Lei Jin is employed at Maplebear Inc., where he continues to develop innovative solutions in the realm of logistics and delivery. His work focuses on enhancing the accuracy and reliability of delivery predictions, which is crucial for improving customer satisfaction in e-commerce.
Collaborations
Lei Jin collaborates with talented individuals such as Jianhui Tian and Parikshit Verma. Together, they contribute to advancing the technology and methodologies used in their field.
Conclusion
In summary, Lei Jin is a notable inventor whose work in machine learning has the potential to revolutionize the way online deliveries are managed. His patent reflects a significant step forward in predicting delivery performance, ultimately benefiting both businesses and consumers.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
