Horsch AI based ordering process and dynamic adaptation of ordering parameters.
Results of this project will be presented here by the end of September
- Sponsored by: Horsch Maschinen GmbH
- Project lead: Dr. Ricardo Acevedo Cabra
- Scientific lead: Dr. Maximilian Braun and Christoph Meyer
- TUM co-mentor: Prof. Massimo Fornasier
- Term: Summer semester 2024
- Application deadline 21.01.2024
Apply to this project here

HORSCH Maschinen GmbH is a manufacturer of agricultural machinery based in over 10 locations around the globe. While being on the forefront of agricultural innovations, HORSCH also focuses on improvements regarding their back-office processes. Removing manual labor to free resources is a big part of HORSCHs digital strategy. At this point AI comes into place.
On the one hand side the barriers to implement AI solutions are getting lower day by day whereas the accuracies of certain models are sufficient for a lot of use cases. Based on these developments, the purchasing department of HORSCH plans to automate parts of their purchasing process, especially the ordering process.
The goal of this project is to oversee the processes and data to study the opportunities AI has to offer to support our ordering processes.
As part of this project you will:
- Study the current state of science regarding AI and ordering processes
- Develop a concept based on AI to automate ordering processes
- Evaluate the accuracy of your solution to convince skeptical users
To apply you should have:
- Good understanding of AI methods (machine learning / deep learning)
- Good python programming skills
- Proficient communication skills to acquire the information you need from business stakeholders
HORSCH is looking forward to your application!