Study on AI in Practice

AI now supports the processes of DACH companies in a variety of ways. In collaboration with the Handelsblatt Research Institute (HRI), the digital consulting, solutions and software company Valantic examined which use cases are particularly important for companies and what role industry affiliation plays in this. The results show that AI applications are already very popular with companies, particularly in quality control and automated data and document management.

Supply chain optimization with AI is also an important field of application for many. Valantic and the HRI asked around 700 decision-makers what added value they are already achieving with the use of AI applications within their business processes.

As part of the survey, Valantic differentiated between 14 use case clusters and asked the participants which of these application areas were most important for their own company. The following five clusters were given the highest relevance by the respondents:

Quality controlIdentify defects and ensure product quality by means of visual or other sensory inspections.

Document and data managementExtract, process and manage information from documents and data records in large quantities, automatically and in high quality.

Optimization of the supply chaine.g. precise demand forecasting, optimization of delivery routes, reduction of inventory, optimized production and logistics planning.

Robotics and smart productsAutomation of product functions; interaction of sensor technology, control and logic for autonomous functioning and optimization of hardware products.

Automation in customer serviceChatbots and virtual assistants for processing customer inquiries and providing support.

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