The customer has been producing using a patented process for many decades. During this time, the company has not been able to further reduce the reject rate of just under 10%. The correlations for the causes of rejects are complex and are hidden in the depths of the data. Using conventional methods, the company was unable to separate the correlations any further.

AI pattern recognition is used to determine the combined effect of influencing factors on product quality. Influences include machine settings, raw materials, climate and personnel. The patterns can be used to derive not only the reasons for rejects, but also ways to reduce them.