Palo Alto, CA, United States of America

Yu Ishikawa

This inventor holds 3 USPTO granted patents. Top assignee: Mercari, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yu Ishikawa. Retrieved from https://idiyas.com/inventor/yu-ishikawa-5jiqqvwk

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 = 7.3

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2026

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3 patents (USPTO):Explore Patents

Title: Innovations by Yu Ishikawa in Shipping Cost Estimation

Introduction

Yu Ishikawa is an accomplished inventor based in Palo Alto, California. He has made significant contributions to the field of online marketplace logistics through his innovative patents. With a total of two patents to his name, Ishikawa is recognized for his expertise in utilizing machine learning techniques to enhance shipping cost estimation.

Latest Patents

Ishikawa's latest patents focus on estimating shipping costs using machine learning. One embodiment involves detecting a sales transaction between a seller and a buyer for an item via an online marketplace. The process includes receiving an item vector created by a deep learning model based on various characteristics of the item. By identifying proximate vectors corresponding to past listings with known shipping costs, a weighted average is calculated. This average helps estimate the dimensional weight of the item, which is crucial for determining shipping costs before handing the item over to a carrier. Another patent emphasizes real-time estimation of shipping costs, allowing buyers and sellers to finalize transactions efficiently. The machine learning model incorporates a bias towards heavier estimations to prevent undercharging market participants.

Career Highlights

Yu Ishikawa is currently employed at Mercari, Inc., where he continues to develop innovative solutions for the online marketplace. His work focuses on improving the efficiency of shipping processes, which is vital for enhancing user experience in e-commerce.

Collaborations

Ishikawa collaborates with talented individuals such as Mohammad-Mahdi Mozzami and Eric Turner. Their combined expertise contributes to the advancement of shipping cost estimation technologies.

Conclusion

Yu Ishikawa's contributions to the field of shipping cost estimation through machine learning are noteworthy. His innovative patents are paving the way for more efficient online marketplace transactions.

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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