Frankfurt-am-Main, Germany

Jörg Erlebach

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Jörg Erlebach: Innovator in AI-Driven Transaction Management

Introduction

Jörg Erlebach is a notable inventor based in Frankfurt-am-Main, Germany. He has made significant contributions to the field of artificial intelligence, particularly in transaction management systems. His innovative approach has led to the development of a unique patent that enhances the efficiency of categorizing spend data.

Latest Patents

Jörg holds a patent for an AI-driven transaction management system. This system provides a largely automated method of categorizing spend data without requiring prior in-depth knowledge of an organization's transactional data. The patent utilizes natural language processing to analyze text data from transactions, generating a consolidated cleaned data set (CDS) for effective categorization. The system clusters transaction logs based on similarity, forming a minimal data set (MDS). An automated algorithm selects high-value clusters, allowing users to manually categorize representative logs. A model is then trained using these manually categorized clusters to predict spend categories for the remaining logs with high accuracy. The AI engine continuously analyzes predictions and auto-tunes the machine learning model, ensuring that up to 95%-100% of the spend is categorized efficiently.

Career Highlights

Jörg is currently employed at The Boston Consulting Group, Inc., where he applies his expertise in AI and transaction management. His work has been instrumental in advancing the company's capabilities in data analysis and management.

Collaborations

Jörg collaborates with talented professionals such as Ronny Fehling and Samantha Short, contributing to innovative projects and enhancing the overall effectiveness of their team.

Conclusion

Jörg Erlebach's contributions to AI-driven transaction management systems exemplify the impact of innovation in the field of data analysis. His patent reflects a significant advancement in automating spend categorization, showcasing his role as a leading inventor in this domain.

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