Wildwood, MO, United States of America

Chris J Merz

USPTO Granted Patents = 2 

Average Co-Inventor Count = 1.6

ph-index = 2

Forward Citations = 14(Granted Patents)


Location History:

  • Ballwin, MO (US) (2013)
  • Wildwood, MO (US) (2020)

Company Filing History:


Years Active: 2013-2020

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2 patents (USPTO):Explore Patents

Title: Innovations of Chris J Merz

Introduction

Chris J Merz is an accomplished inventor based in Wildwood, Missouri. He has made significant contributions to the field of technology, particularly in the areas of graph data modeling and customer behavior profiling. With a total of two patents to his name, Merz continues to push the boundaries of innovation.

Latest Patents

Merz's latest patents include "Systems and methods for generating relationships via a property graph model." This patent describes a method for generating graph data components stored in a graph database. The method involves receiving transaction data from a relational database and defining a graph that includes nodes representing merchants and cardholders. It identifies relationships between these nodes based on common transaction data and generates edges to represent new relationships.

Another notable patent is "Systems and methods for transaction-based profiling of customer behavior." This invention provides a system for updating customer profiles based on current information from merchant transactions. The profiles, stored in a database, are updated using sorted transaction reports, allowing for more accurate customer behavior analysis.

Career Highlights

Chris J Merz is currently employed at Mastercard International Incorporated, where he applies his expertise in technology and innovation. His work focuses on enhancing transaction processes and improving customer profiling systems.

Collaborations

Merz collaborates with talented individuals such as Peng Yang and Wally F Lo Faro, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Chris J Merz is a notable inventor whose work in graph data modeling and customer behavior profiling has made a significant impact in the technology sector. His contributions continue to shape the future of transaction processing and customer analytics.

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