An AI-based Service Ecosystem for Technical Service in the Age of Industry 4.0

The goal of the ServiceMeister project is to develop an AI-based, cross-plant, cross-department and cross-company service platform for German small and medium-sized enterprises (SMEs). 

In the current economic context, where the companies are shifting their focus from offering products to offering services, there is a demand for innovative business models where SMEs are able to use and market their internal, company-specific “service knowledge”. The “service knowledge” typically exceeds the knowledge of any individual technician, and even of any individual company. An important subgoal of ServiceMeister is to enable less-qualified staff to offer complex services with the help of digital guides such as AI-based ServiceBoats and Smart Services.

The research at the University of Stuttgart focuses on bringing together multiple knowledge sources (e.g. textual knowledge, information from knowledge graphs, common sense knowledge, master knowledge) into a unified system, powered using deep learning techniques. Aside from providing answers to the questions posed by the service technicians, the system will also provide explanations regarding its predictions, thus making them easier to interpret and use.

Operating Time: 01/2020 - 12/2022
Source of Funding: Bundesministerium für Wirtschaft und Energie (BMWi)

• Adolf Würth GmbH & Co. KG
• Atlas Copco IAS GmbH
• Beuth Hochschule für Technik Berlin
• eco – Verband der Internetwirtschaft e.V.
• Fraunhofer-Institut für Software- und Systemtechnik ISST
• grandcentrix GmbH
• inovex GmbH
• Institut für Internet-Sicherheit – if(is)
• Karlsruher Service Research Institute (KSRI)
• KEB Automation KG
• Kompetenznetzwerk Trusted Cloud e. V.
• KROHNE Messtechnik GmbH
• TRUMPF Werkzeugmaschinen GmbH + Co. KG
• Universität Stuttgart
• USU Software AG

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Project Members

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