Long Valley, NJ, United States of America

Christopher K Wiese

This inventor holds 1 USPTO granted patent. Top assignee: Lucent Technologies Inc.. Active years: 2007.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christopher K Wiese. Retrieved from https://idiyas.com/inventor/christopher-k-wiese

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


Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2007

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1 patent (USPTO):Explore Patents

Title: Innovations by Christopher K Wiese

Introduction

Christopher K Wiese is an accomplished inventor based in Long Valley, NJ (US). He has made significant contributions to the field of demand forecasting through his innovative patent. His work is particularly relevant in industries that rely on precise inventory management and production scheduling.

Latest Patents

Christopher K Wiese holds a patent for "Systems and methods for forecasting demand for a subcomponent." This patent describes techniques for translating forecast sales data of assembled products into a forecast schedule for the subcomponents that comprise those products. The process involves receiving forecast sales data and usage factors for various subcomponents, ultimately leading to a forecast schedule that outlines the demand for these subcomponents over time.

Career Highlights

Wiese has had a notable career, working with Lucent Technologies Inc., where he has applied his expertise in forecasting and demand management. His innovative approach has contributed to the efficiency and effectiveness of production processes within the company.

Collaborations

Wiese collaborates with Bassel Hage Daoud, leveraging their combined expertise to enhance the development of innovative solutions in their field.

Conclusion

Christopher K Wiese's contributions to demand forecasting through his patent demonstrate his commitment to innovation and efficiency in production processes. His work continues to impact the industry positively.

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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