The topic of the innovation project is long-term pricing strategies for global service organizations, which are necessary to make international services effective and competitive. In view of the challenges posed by complex, global markets and the opportunities offered by digitalization and new business models, tools and analysis models are being created to support data-based pricing decisions.
The key results are a guide with best practices for global pricing and practical recommendations for developing suitable pricing strategies for different organizational forms. The aim is to ensure sustainable growth, long-term customer loyalty and profitability.
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The innovation project aims to develop approaches for the development of AI-supported knowledge management that integrates human, technical and organizational aspects. By using AI, service employees can work more efficiently, reduce processing times and thus cut costs and increase customer satisfaction.
The results include a classification of AI applications in knowledge management, the identification of success factors, a concept for the integration of relevant aspects and a checklist for the design of operational systems in companies.
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The innovation project investigates how companies can better exploit the potential of customer portals to increase customer satisfaction and loyalty. There is often a lack of knowledge about different types of portals, the services they offer and the best practices of other companies.
The aim is to identify the potential of different types of customer portals and to show under which conditions a particular type should be selected and successfully implemented. The results include an overview of different portal types with their potential and prerequisites as well as best practice examples for optimal use and potential enhancement.
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The project addresses the challenge of motivating customers to connect their machines – a key prerequisite for digital business models. While networked machines offer added value beyond the physical product, customers often do not recognize this, which means that costs and risks outweigh the benefits.
The aim is to identify practical success factors for customer motivation. The results include systematically recorded challenges, a qualitative study based on expert interviews and identified best practices that companies can use as a basis for individual measures.
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Innovationproject
Kick-Off: 26.Oktober 2020
Project completion: Q3/2021
The right pricing is essential for the success of a digital product. Until now, industrial companies have had little experience in the price management of digital products, which means that they do not contribute to business success. Create measurable success for the pricing of your digital products with us!
Konsortial Benchmarking
Kick-Off: 21. 11.2019
Project completion: 22.03.2021
Customer wishes: If you pay attention to them, you are already one step ahead of the competition. Those who can collect them themselves through data analysis are even further ahead! Customer insights is the name of the process that can provide valuable information in the competition for satisfied customers. Find out how you can respond to customer requirements in your company in a targeted manner
Konsortial Benchmarking
Kick-Off: 28.05.2019
Project completion: Q1 2021
Subscription business models can translate the technological possibilities of Industry 4.0 into measurable success. Become a partner in the new consortium benchmarking now and learn how companies can be economically successful with subscription business in times of Industry 4.0 and realize continuous innovation and customer loyalty!
Market study
Kick-off: 28.01.2019
Project completion: 25.06.2019
What are the benefits of industrial machine learning? How do I find a suitable provider? The market study “Industrial Machine Learning” was dedicated to these questions and enables manufacturing companies to discover potentials through machine learning processes and to select strategic machine learning partners. The results are now available for download!
Consortium benchmarking
Kick-off: October 2016
Project completion: June 2017
The study investigated the success factors of data-based services and how top companies differentiate themselves from others in the development and provision of data-based services. The clients of the benchmarking study and a further 75 international providers of industrial, data-based services took part.
Consortium project
A tool was developed that enables the assessment of an industrial service provider’s smart service maturity level. This provides industrial service providers with transparency about the status quo of their own company as a smart service provider and serves to identify key areas for action and potential for improvement. The project was carried out together with the enrolled members of the Service Performance Center.
Consortium project
Building on the results of the successful Sprint I of the Smart Service Check, company-specific data-based services were developed. Successful practices were researched, analyzed and categorized with regard to their form. Finally, the partner-specific results, together with the successful practices, were used to derive generic types of data-based services in the form of blueprints.
Consortium project
Kick-off: February 2018
Project completion: February 2019
78 solution modules sorted into 8 topic clusters divided into 4 phases – this is the result of the consortium project on the sale of smart services. Are you interested in the results? Segmentation criteria, the quantification of value propositions in monetary terms and the choice of the right channel for selling smart services are just a few examples!