Lake Arrowhead, CA, United States of America

James Patrick McGuire


Average Co-Inventor Count = 3.0

ph-index = 1


Location History:

  • Lake Arrowhead, CA (US) (2022)
  • Cedar Glen, CA (US) (2022)

Company Filing History:


Years Active: 2022

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2 patents (USPTO):Explore Patents

Title: Innovations by James Patrick McGuire

Introduction

James Patrick McGuire is an accomplished inventor based in Lake Arrowhead, CA (US). He holds 2 patents that showcase his expertise in utilizing machine learning for innovative solutions in billing disputes and supply chain financing.

Latest Patents

One of McGuire's latest patents focuses on the "Prioritization and automation of billing disputes investigation using machine learning." This method involves receiving dispute information related to billing disputes and computing a score to determine the validity of the dispute. The system categorizes the dispute based on this score and presents actions to resolve the issue, prioritizing them accordingly. Another significant patent is for "Methods and systems for assessing performance and risk in financing supply chain." This method accesses behavioral data of an entity, generating a unified model to predict risk metrics and determine credit ratings based on historical transaction data and external information.

Career Highlights

James Patrick McGuire is currently employed at Flowcast, Inc., where he applies his innovative ideas to enhance financial processes. His work emphasizes the integration of machine learning to streamline operations and improve decision-making in complex financial environments.

Collaborations

Some of McGuire's notable coworkers include Kenneth So and Eitan Anzenberg, who contribute to the collaborative efforts at Flowcast, Inc. Their combined expertise fosters an environment of innovation and creativity.

Conclusion

James Patrick McGuire's contributions to the fields of billing dispute resolution and supply chain financing through his patents reflect his commitment to innovation and technology. His work continues to influence the way financial processes are managed and optimized.

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