HANGZHOU, China

Xiongbin Wu

This inventor holds 1 USPTO granted patent. Top assignee: Cainiao Smart Logistics Holding Limited. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xiongbin Wu. Retrieved from https://idiyas.com/inventor/xiongbin-wu-6ihs34cl

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 = 3.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Xiongbin Wu: Innovator in Logistics Technology

Introduction

Xiongbin Wu is a prominent inventor based in Hangzhou, China. He has made significant contributions to the field of logistics technology, particularly through his innovative patent that addresses the complexities of path analysis in logistics.

Latest Patents

Xiongbin Wu holds a patent for an "Abnormal path analysis method and apparatus, and electronic device." This invention provides a method for analyzing the actual fulfillment path of a logistics object. The method involves obtaining data from the actual fulfillment path, which includes routes connecting various fulfillment centers. It also compares this data with a standard planned path to generate route comparison results. The invention aims to obtain detailed mis-distribution data of the logistics object based on these results.

Career Highlights

Xiongbin Wu is currently associated with Cainiao Smart Logistics Holding Limited, a leading company in the logistics sector. His work focuses on enhancing the efficiency and accuracy of logistics operations through innovative technological solutions.

Collaborations

Xiongbin has collaborated with notable colleagues, including Yu Ling and Wenju Wang, who contribute to the advancement of logistics technology within their organization.

Conclusion

Xiongbin Wu's innovative work in logistics technology exemplifies the importance of advancements in this field. His patent not only addresses current challenges but also paves the way for future developments in logistics efficiency.

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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