Wiesloch, Germany

Lukas Konstandin

This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lukas Konstandin. Retrieved from https://idiyas.com/inventor/lukas-konstandin

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lukas Konstandin: Inventor of a Machine-Learning Logfile Recommender

Introduction

Lukas Konstandin is an inventor based in Wiesloch, Germany, and is associated with SAP SE. His work includes a patented service that uses machine learning to recommend relevant logfile types for support tickets.

Latest Patents

Konstandin is named on 1 patent, titled “Logfile recommender service.” The invention uses models trained on information from past support tickets, including titles, problem descriptions, and communication records. When asked to make a recommendation for a ticket, the service first predicts whether logfiles are relevant. If they are, a second model recommends suitable logfile types. Attaching those logfiles to a support ticket can help facilitate and expedite its resolution.

Career Highlights

Konstandin’s patent reflects an application of machine learning to support workflows. By automating logfile relevance predictions and recommendations, the service aims to help support teams identify useful diagnostic information more efficiently. He is associated with SAP SE.

Collaborations

Sudhir Verma is identified as Konstandin’s coworker. The available information does not specify whether Verma collaborated on the patent.

Conclusion

Lukas Konstandin’s patented logfile recommender applies machine learning to help support teams select potentially useful diagnostic files for tickets.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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