DAiProM | Data analytics in production management

Efficiency and sustainability through artificial intelligence

Artificial intelligence (AI) and machine learning can fundamentally change business processes and business models. Machines produce more efficiently and sustainably, processes are controlled in an intelligent way and employees are supported when dealing with complex analyses. The applications of AI in manufacturing companies range from process and logistics data analysis, quality assurance and machine control to completely new digital, data-based business models.

Artificial intelligence covers technologies of machine learning through which coherences in complex production and logistics processes can be recognized. Using algorithms and methods, complex models representing the existing knowledge are generated from the data of a company. Using the latest analysis and interpretation methods, significant correlations can be identified and evaluated.

The algorithms and methods of artificial intelligence and machine learning are now not only used in research but also in the daily operations of manufacturing companies. Innovative companies already use them every day to develop their products and processes. AI applications propose similar products, analyze and evaluate processes and forecast demand. AI identifies in advance which and how many products logistics centers must have in store. The placement of goods on shelves is optimized to take up as little space as possible and keep storage costs as low as possible.

Recognizing and using new AI potential

Even though some methods and algorithms of artificial intelligence have been available for years, the industry will benefit from it only when increased data and computing power is available. In the operational reality of manufacturing companies, however, there are still some obstacles in the application of AI and machine learning. Frequently, sufficient expertise is still lacking, requirements are not known and the potential benefits are difficult to estimate.

In order to identify and exploit the potential of AI and machine learning in one's own company, it is helpful to analyze central findings from science and research and to transfer them to one's own production and logistics processes. Through suitable data pre-processing, the targeted selection of algorithms and intensive training and testing of models, scientific findings can be transferred to your own use cases. Through detailed analysis and interpretation of the models and correlations, relevant process parameters and cause-effect relationships can be identified. The knowledge gained subsequently enables explanations and recommendations for action to be derived for adapting the processes.

Data analytics and AI at Fraunhofer IGCV

How can the new AI potentials be made accessible for the own company? The key to the success of Artificial Intelligence in production lies above all in the combination of application knowledge from production management and production technology as well as Artificial Intelligence and machine learning.

At the Fraunhofer IGCV, these key skills are combined, allowing individual solutions to be developed for a wide range of applications. With its key skills in the areas of engineering, production and multi-material solutions, the Fraunhofer IGCV combines extensive application knowledge with the latest scientific findings.

What do I get from AI?

Find out together with us what action is needed and which AI applications offer the highest potential for your company.


AI level check

We can help you determine the current AI level of your company and identify the applications and products that are most suitable for you.

  • Latest findings from application-oriented science and technology
  • Proven analytical procedure
  • Analysis of production and products


Data value stream analysis

Our data value stream analysis enables the application of state-of-the-art methods of artificial intelligence and machine learning in an industrial context.

  • Better process understanding
  • Identification of cause-effect relationships
  • Concrete recommendations for action
  • Sustainable optimization of value-added processes

Cooperation with Fraunhofer IGCV

Contact us for an individual solution that suits your business needs.

Industry solutions

The key sectors of Fraunhofer IGCV:

  • Mechanical and plant engineering
  • Aerospace
  • Automotive and commercial vehicles


We are shaping the way into the future of efficient engineering, networked production and intelligent multi-material solutions.