Mountain View, CA, United States of America

John Seeburger


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of John Seeburger

Introduction

John Seeburger is a notable inventor based in Mountain View, California. He has made significant contributions to the field of predictive analytics through his innovative patent. His work focuses on enhancing transaction forecasting methods, which can greatly benefit various industries.

Latest Patents

John Seeburger holds a patent titled "Proactively predicting transaction quantity based on sparse transaction data." This patent involves systems, software, and computer-implemented methods for predicting demand based on limited transaction data. The method includes receiving requests to forecast transaction quantities for multiple entities over a future time period. It utilizes historical transaction data organized into a hierarchical structure, iterating through various levels to identify features for a quantity forecasting model. The model is then trained to generate predicted transaction dates and quantities, providing valuable insights for businesses.

Career Highlights

John Seeburger has established himself as a key figure in the field of predictive analytics. His work at SAP SE has allowed him to apply his innovative ideas in a practical setting, contributing to advancements in transaction prediction technologies. His expertise in this area has positioned him as a valuable asset to his team and the industry.

Collaborations

John has collaborated with talented individuals such as Pankti Jayesh Kansara and James Rapp. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

John Seeburger's contributions to predictive analytics through his patent demonstrate his innovative spirit and commitment to advancing technology. His work not only enhances transaction forecasting but also sets a foundation for future developments in the field.

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