LOG-BF-AI.UCT - LOG-Use Cases and Capabilities Taxonomy for AI applications in Supply Chain Management

Artificial Intelligence (AI) applications are playing an increasingly significant role for companies in Upper Austria. Especially in the field of Supply Chain Management (SCM), they are being used more and more, though not always with the desired success. To facilitate the entry into organizational use of AI and its implementation, a taxonomy is to be developed in the present project. This taxonomy will provide an overview of possible AI use cases in SCM, as well as the necessary organizational prerequisites (AI capabilities) for their utilization.

This taxonomy, with the help of a standardized, repeatedly applicable data collection methodology, aims to provide insight into the AI use cases and AI capabilities of Upper Austrian companies in the context of SCM. This is intended to facilitate the adoption of AI and enable benchmarking with similar companies. Furthermore, the repeated use for representative surveys is expected to support the management of the development of the technology sector in Upper Austria.

The development of the taxonomy and its scientific testing are tasks in the first project year, while the practical application and standardization of the data collection methodology are tasks in the second project year. The essential empirical steps will be carried out in cooperation with the Association for Logistics Network (VNL) as part of the project, which also supports the dissemination of results to practitioners.