Montréal, Canada

Philippe Grangier

USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Philippe Grangier in Supply Chain Management

Introduction

Philippe Grangier is a notable inventor based in Montréal, Canada. He has made significant contributions to the field of supply chain management through his innovative patents. With a total of 3 patents, Grangier's work focuses on utilizing machine learning to enhance service level predictions in supply chains.

Latest Patents

One of Grangier's latest patents is a system designed to predict service level failure in supply chains. This system employs a low-touch centralized approach, utilizing historical supply chain data to forecast potential service level failures. The method involves receiving data from an archiving system, predicting supply chain events, calculating occurrence risk scores, and generating alerts for items and stocking locations. Additionally, it provides a heatmap visualization and tools for initiating corrective actions to address underlying causes of supply chain events.

Career Highlights

Philippe Grangier is currently associated with Blue Yonder Group, Inc., where he applies his expertise in supply chain solutions. His innovative approaches have positioned him as a key player in the industry, contributing to advancements in predictive analytics and operational efficiency.

Collaborations

Grangier collaborates with talented professionals such as Gabrielle Gauthier Melancon and Eric Prescott-Gagnon. Their combined efforts enhance the development of innovative solutions in supply chain management.

Conclusion

Philippe Grangier's contributions to supply chain management through his innovative patents demonstrate his commitment to improving operational efficiency. His work continues to influence the industry positively, showcasing the importance of predictive analytics in modern supply chains.

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