Chicago, IL, United States of America

Todd J Gettelfinger


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2006

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1 patent (USPTO):Explore Patents

Title: Todd J Gettelfinger: Innovator in Product Data Standardization

Introduction

Todd J Gettelfinger is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of product data management through his innovative ideas and solutions. His work focuses on creating systems that enhance the efficiency and accuracy of product data standardization.

Latest Patents

Todd J Gettelfinger holds a patent for a "System and method for product data standardization." This invention provides a computer system designed to generate standardized product data. The system includes a database that maintains data for a variety of known products, each associated with a respective standardized product code. A processing facility, connected to the database, receives raw data for unidentified products from diverse data sources, each with its own identifier. The processing facility compares this raw data against the known products and assigns the standardized product code of any matching known product to the unidentified product.

Career Highlights

Todd is currently employed at Instill Corporation, where he continues to develop innovative solutions in product data management. His work has been instrumental in improving the way companies handle product information, making it easier to standardize and access data across various platforms.

Collaborations

Throughout his career, Todd has collaborated with talented individuals such as Dejan N Nenov and Yongwon Lee. These collaborations have allowed him to enhance his inventions and contribute to the advancement of technology in his field.

Conclusion

Todd J Gettelfinger is a distinguished inventor whose work in product data standardization has made a significant impact on the industry. His innovative solutions continue to pave the way for more efficient data management practices.

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