Tokyo, Japan

Takayuki Aida

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Casio Computer., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Takayuki Aida. Retrieved from https://idiyas.com/inventor/takayuki-aida

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Takayuki Aida: An Inventor in Inventory Management

Introduction

Takayuki Aida is an inventor based in Tokyo, Japan, and works at Casio Computer Co., Ltd. His patent work includes a method for using inventory data and user behavior to identify components that may run out of supply.

Latest Patents

Aida is associated with 1 patent: “Inventory Management Method, Recording Medium, and Inventory Management Device.” The invention describes a computer-based process that determines the inventory of parts and uses a component configuration master to calculate the available supply of each component. It also uses demand data derived from users’ behavior histories on a user terminal to identify components that may become unavailable.

Career Highlights

Aida’s listed invention addresses inventory planning by connecting part-level stock information with component availability and demand signals. This approach is designed to help identify potential supply shortages.

Collaborations

Aida’s listed coworkers include Kei Uehara and Hironori Ishizuki.

Conclusion

Takayuki Aida’s patent reflects an approach to inventory management that combines component relationships, available stock, and user behavior to anticipate possible shortages.

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]
Loading…