In German industry, there is a fundamental change in the creation of value from products to services. Novel business models are in demand that require German SMEs to leverage and market their internal service knowledge.

However, the necessary service knowledge about industrial plants and machinery exceeds the knowledge of individual service technicians and in some cases even of the companies. Along with the shortage of skilled workers, German SMEs will face an enormous challenge in the coming years to secure their lead in the provision of services.

In order to support the German SMEss, Service-Meister will develop an AI-based cross-departmental and cross-company service platform.

An important subgoal is to enable less trained specialists for complex services with the help of digital advisors such as AI-based Service-Bots and Smart Services. As a second subgoal, the provision of digitalized service knowledge on a platform should enable cross-company scalability of services. This creates a service ecosystem that counteracts the shortage of skilled workers in Germany and makes German SMEs competitive in the long term—within the German and global market.


Bundesministerium für Wirtschaft und Energie (BMWi)






eco - Verband der Internetwirtschaft USU Beuth-Hochschule Westfälische Hochschule Universität Koblenz Landau Fraunhofer Trusted Cloud inovex Krone Open Grid Europe KEB Grandcentrix Würth Trumpf AtlasCopo

Involved DSI Researchers

Niklas Kühl

Laura Kienzle

Lucas Baier

Riefle, Lara

Schöffer, Jakob

Clemens Wolff


Opening the Black Box of Digital B2B Co-Creation Platforms: A Taxonomy [in press].
Abendroth, J.; Riefle, L.; Benz, C.
2021. Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI)
Co-Creating Value in B2B Platform Ecosystems – Towards a Deeper Understanding of the Emergence and Nature of Actor Engagement [in press].
Benz, C.; Riefle, L.; Schwarz, C.
2021. Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI)
User-specific Determinants of Conversational Agent Usage: A Review and Potential for Future Research [in press].
Riefle, L.; Benz, C.
2021. Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI)
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability.
Hirt, R.; Srivastava, A.; Berg, C.; Kühl, N.
2021. Hawaii International Conference on Systems Sciences (HICSS-54), January 5-8, 2021
Engineering Industrial Service Systems : Design and Evaluation of System-Oriented Service Delivery.
Wolff, C.; Kühl, N.; Satzger, G.
2020. Proceedings of the 15th International Conference on Design Science Research in Information Systems and Technology (DESRIST 2020), Kristiansand, N, November 2020
Enabling System-Oriented Service Delivery in Industrial Maintenance: A Meta-method for Predicting Industrial Costs of Downtime.
Wolff, C.; Kühl, N.; Satzger, G.
2020. International Conference on Exploring Services Science, Porto, Portugal, 5 - 7 Februar 2020. Ed.: H. Nóvoa, 92–106, Springer International Publishing. doi:10.1007/978-3-030-38724-2_7