When specifying systems, requirements for the system arise at various points. These are, for example, taken from the project description or derived from the system use cases. Often these are modelled directly in tools, such as Requierements Diagrams in SysML. Accordingly, the requirements are described with model elements, which in turn contain texts and properties. Requirements can be structured according to different criteria. For example with regard to system level, assemblies, functional or origin. Due to the large number of requirements in the development of complex systems, it is on the one hand time-consuming to structure the requirements and on the other hand the structuring is carried out by several people, which can lead to inconsistencies in the structuring.

In the product development process, a large number of requirements are placed on a product. It can happen that there are conflicts between requirements. A simple example of this is the following: an automobile should have good acceleration and be economical at the same time. These conflicting requirements are not always as clear-cut as in the example given. If they are identified early in the development process, the product design can already be optimally adapted to these requirements. Time-consuming and costly changes to the product are thus prevented. The goal of the AI solution should be an automated analysis of the requirements documents regarding conflicts. Identified conflicts are highlighted so that employees can rectify, resolve or take them into account at the earliest possible time.

Advantageous positioning in the competitive arena requires precise knowledge of competitors' activities and strategic positioning. Strategic variables and key performance indicators can be used to characterise competitors and their strategies. The updating of information on already identified competitors as well as the identification of new competitors, is often associated with a high manual effort. For this reason, a monitoring system for a continuous and automated competitor analysis based on the strategic variables and key performance indicators is to be developed and installed.

The IoT makes it possible to integrate product data from all phases into the PLM in order to design the product creation more efficiently. In order to better serve the market, the integration of customer-specific usage data is also feasible. By analysing such user profiles, requirements and customer behaviour can be better understood. The analytical procedure helps to find product concepts in order to increase the benefit for the customer in a targeted way by covering the requirements in a holistic way. The concrete objective is to use the customer or usage data for decision support in the context of market analysis/segmentation so that future developments can be designed in a more customer-oriented way and segment-specific features and functions can be integrated.