Master Thesis: AI Message Tracking Prediction B2B Service Simulation (all genders) - Bretten


Bretten, DE, 75015

Division/Department:  Development
Experience:  Bachelor- / Masterthesis

”Accelerating business to improve the lives of people”. This is our purpose statement and encapsulates what we enthusiastically do every day. We integrate our customers’ IT systems to make sure that the right data is at the right place at the right time when they digitalize their processes. Companies need their systems to talk to each other to ensure that cars roll off the factory line, that everyone receives their payments on time, and that you can buy what you need from a supermarket.

Our success story began in 1986, when we helped the German automotive industry to digitalize their paper-based supply chains. Today, SEEBURGER is a leading global B2B software provider with more than 1,000 #businessaccelerators in 15 countries worldwide and over 10,000 satisfied customers that rely on our innovative solutions.


AI Message Tracking Predictions for B2B Service Simulation



Motivation and goals

The successful processing of messages with a variety of B2B services is monitored by message tracking. In addition to the status of a message, other metadata is collected here in extensive cloud landscapes. Machine learning should predict whether a message is processed incorrectly, as well as enable simulation, planning and optimization of B2B services with relevant message tracking features. The goal of this work is to develop a prediction and simulation framework for monitoring B2B services.





  • Feature engineering, cleansing, as well as enrichment of message tracking data, as well as selected metrics from system monitoring, cloud structure data, and log data. Historical data is available for several years in a data lake
  • Investigate and select approaches and ML models suitable for predicting the status of a message and, if applicable, other system characteristics with the selected features
  • Development and implementation of a framework for the prediction of selected features and the regular training of ML models
  • Development and implementation of a simulation system including a visualization for the processing of individual messages and selected metrics of the B2B services
  • Development of criteria for the evaluation of the system and the used ML models



Location: Bretten and/or Karlsruhe



Contact Recruiting:


Daniel Iwtschenko

+49 7252 96-2224

LinkedIn - XING


Benefit from being part of a globally renowned company that is driving digitalisation forward. We continue to grow - and so can you! It is important to us that you can fully utilise your talents and strengths and go your own way, regardless of whether you are aiming for a specialist or management career. With our expertise and growth in a future-oriented industry, we offer a wide range of opportunities and secure jobs. At SEEBURGER, we value the supportive atmosphere and family environment. #StrongerTogether is one of our corporate values and characterises the way we live together.

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