  Progressive digitalization is changing the game of many industrial sectors.
Focus-ing on product quality the main profitability driver of this so-called
Industry 4.0 will be the horizontal integration of information over the
complete supply chain. Therefore, the European RFCS project 'Quality4.0' aims
in developing an adap-tive platform, which releases decisions on product
quality and provides tailored information of high reliability that can be
individually exchanged with customers. In this context Machine Learning will be
used to detect outliers in the quality data. This paper discusses the
intermediate project results and the concepts developed so far for this
horizontal integration of quality information.
