Redwood City, CA, United States of America

Dawn T Ohlendorf


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: Dawn T. Ohlendorf: Innovator in Product Data Standardization

Introduction

Dawn T. Ohlendorf is a notable inventor based in Redwood City, CA. She has made significant contributions to the field of product data standardization. Her innovative approach has led to the development of a unique system that enhances the efficiency of product data management.

Latest Patents

Dawn 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. The processing facility within the system receives raw data for unidentified products from diverse data sources, each with its own identifier. By comparing this raw data against known products, the system can assign the appropriate standardized product code to the unidentified product when a match is found. Dawn's patent represents a significant advancement in the field, streamlining the process of product identification and data management.

Career Highlights

Dawn is currently employed at Instill Corporation, where she continues to innovate and contribute to the field of product data standardization. Her work at Instill Corporation has allowed her to collaborate with other talented professionals in the industry.

Collaborations

Some of her notable coworkers include Dejan N. Nenov and Yongwon Lee. Their collective expertise contributes to the innovative environment at Instill Corporation.

Conclusion

Dawn T. Ohlendorf's contributions to product data standardization through her patent and work at Instill Corporation highlight her role as a leading inventor in this field. Her innovative solutions continue to impact the way product data is managed and standardized.

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