The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of decision-relevant information and the acquisition of structured knowledge from global and multilingual text sources. These sources provide a large database of SCM information, particularly for the early detection of critical events and risks, but also of opportunities, e.g. through new technologies, suppliers and supply chains. PLASS enables SMBs and large enterprises to continuously monitor suppliers and supply chains, and supports supply chain managers in risk assessment and decision making.

Partners: DFKI, Siemens, University of Leipzig, ubermetrics, Beuth University of Applied Sciences

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