Bentonville, AR, United States of America

Ming Li

This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ming Li. Retrieved from https://idiyas.com/inventor/ming-li-s4hhq8ae

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by Inventor Ming Li

Introduction

Ming Li is an accomplished inventor based in Bentonville, AR (US). He has made significant contributions to the field of forecasting customer demands in retail environments. His innovative approach has led to the development of a unique patent that enhances inventory management and demand forecasting.

Latest Patents

Ming Li holds a patent titled "Systems and methods of utilizing multiple forecast models in forecasting customer demands for products at retail facilities." This patent outlines a system that employs various forecasting models to predict product demand effectively. The system includes a forecasting control circuit that applies multiple models to generate historic forecasted demands based on selected variables that may influence demand unpredictably. It also identifies actions to modify inventory based on forecasted future demand, ensuring that retail facilities can better meet customer needs.

Career Highlights

Ming Li is currently associated with Walmart Apollo, LLC, where he applies his expertise in demand forecasting. His work focuses on improving the accuracy of product demand predictions, which is crucial for optimizing inventory levels and enhancing customer satisfaction. With a patent portfolio that includes 1 patent, he has established himself as a key player in the field of retail forecasting.

Collaborations

Ming Li collaborates with talented professionals such as Yashas Bharadwaj and Nikesh K Srivasatava. Together, they work on innovative solutions that drive efficiency and effectiveness in retail operations.

Conclusion

Ming Li's contributions to the field of demand forecasting demonstrate his commitment to innovation and excellence. His patent serves as a valuable tool for retail facilities, helping them to better understand and respond to customer demands.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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