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: Innovations of Jianhui Tian in Machine Learning for Delivery Predictions
Introduction
Jianhui Tian is an accomplished inventor based in Fremont, CA (US). He has made significant contributions to the field of machine learning, particularly in predicting late deliveries for online orders. His innovative approach leverages real-time data to enhance the efficiency of delivery systems.
Latest Patents
Jianhui Tian 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 the late delivery rate for orders in real time. The system utilizes data related to placed orders and supply and demand signals to generate late delivery scores. These scores indicate the likelihood of late deliveries for various service options. The online system then compares these scores to predetermined thresholds and triggers appropriate actions when necessary.
Career Highlights
Jianhui Tian is currently employed at Maplebear Inc., where he applies his expertise in machine learning to improve delivery logistics. His work has been instrumental in developing systems that enhance customer satisfaction by minimizing late deliveries.
Collaborations
Some of his notable coworkers include Lei Jin and Parikshit Verma, who collaborate with him on various projects at Maplebear Inc. Their combined efforts contribute to the advancement of innovative solutions in the field of online order delivery.
Conclusion
Jianhui Tian's contributions to machine learning and delivery prediction systems exemplify the impact of innovation in enhancing operational efficiency. His work not only addresses current challenges in logistics but also sets the stage for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
