Research

Our research

The Center Smart Service develops solutions for successful digital business in the manufacturing Industry. It does so in projects together with leading Industry companies. As a result of the projects, best practices are identified, analysed and used to derive practicle solutions for the project partner. As one of our project partner, you will gain exclusive insight in the methods and strategies of leading companies and profit from the expertise of international universities leading in the area of Industrie 4.0 and smart services.

Young businessman working on laptop with diagram graph on computer.

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Pricing of Digital Products

Consortial project
Kick-off: July 2020
Project finish: April 2021

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Adequate pricing is essential for the success of a digital product. Until now, industrial companies have had little experience in managing the price of digital products, which is why they do not contribute to the success of their business. Create measurable success with us for the pricing of your digital products!

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AR im Serviceeinsatz im Fabrikumfeld

PTC

AR in Services

Consortial Project
Kick-Off: September 2020
Project finish: June 2021

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Only a few companies already benefit from the many possibilities AR offers in service. We can help you to use AR effectively. To ensure success, we work with you to develop your personal AR prototype for your company – in just nine months!

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Smart MedTech Development - Agilere Entwicklung in der Medizintechnik

Adobe

Smart MedTech Development

Consortial project
Kick-off: November 2020
Project finish: November 2021

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Benefit from our new consortial project “Smart MedTech Development” and learn how medical techonoly companies can speed up their innovation- and development cycles when it comes to their products and services.

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Studie zu Industrial Machine Learning

Adobe

Expert Circle Machine Learning

Consortial study
Kick-off: Q3 2020
Project finish: Q1 2021

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Benefit from our successful market study and build on the results together with us! Within the framework of the Expert Circle “Industrial Machine Learning”, you will find out which complex possibilities and potentials Machine Learning offers and how users can find and choose the right provider.

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Active projects

Projektmanager diskutieren zum Thema Customer Insights Benchmarking 2020

Fotolia

Customer Insights

Consortial Benchmarking
Kick-off: 21. November 2019
Project finish: Q3 2020

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Customer demands: If you try to meet them, you are already one step ahead of the competitors. If you can identify customer demands by conducting your own data analyses, you have an even greater competitive advantage! The procedure that can help you gain valuable information to use in the competition for happy customers is called Customer Insights.

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Business Subscription Benchmarking

CSS

Subscription Business

Consortial Benchmarking
Kick-off: 28.05.2019
Project finish: Q3 2020

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Subscription business models make it possible to transfer the technological possibilites of Industrie 4.0 into measurable success. Join our latest benchmarking, become a project partner and learn how companies use subscription businesses to increase their success, realise continuous innovations and establish a customer relationship and lasting customer loyalty.

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Completed projects

Industrial Machine Learning

Market Study
Kick-off: 28.01.2019
Project finish: June 2019

How does Industrial Machine Learning work? What benefits does it offer? How do I chose a suitable provider? The market survey “Industrial Machine Learning” answered these questions. Manufacturing industries learned how to to identify new potential with the help of machine learning technology and choose the most suitable strategic machine learning partner. The survey is now finished.

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Sale of Smart Services

Consortial Project
Kick-off: February 2018
Project finish: February 2019

78 Solution elements organised in 8 topic clusters and structured into 4 different phases – that is the result of the consortial project on the topic of “Sale of Smart Services”. Are you curious to know more? Segmentation criteria, the quantification of a benefit promise in monetary values and the right way to chose a distribution channel – all of these were among the project results.

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Data-based services 2016/2017

Consortial Benchmarking
Kick-off: October 2016
Project finish: June 2017

This study looked into the reasons for success of data-based services. It also researched how succesful top performers differ from others regarding the development and offer of data-based services. The study initiator and 75 international providers of industrial data-based services took part in this study.

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Smart-Service-Check – Sprint I

We developed a tool that allows the evaluatio of a service providerĀ“s smart service readiness in form of a maturity degree. This creates transparency on the Status Quo of a company and makes itpossible to identify focal points of activities and improvement potential. The project was carried out by the enrolled members of the Center Smart Service Community.

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Smart-Service-Check – Sprint II

Based on the results of the succesfull smart service check sprint I, company individual data-based services were developed. To do so, successful practices were researched and it was analysed and categorised how they differ in form and type. The results were used to derive generic types of data-based services and design blueprints for them.

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