Nonconformance Cause Classification uses AI to categorise defect root causes, enabling effective corrective action, by classifying nonconformance reports and corrective-action history, across QMS and corrective action.
Nonconformance reports describe defects in free text, and assigning root-cause categories by hand is slow and inconsistent. Without reliable categorisation, recurring causes stay hidden and corrective action targets symptoms rather than sources.
The AI performs classification on nonconformance reports, defect descriptions, and corrective-action history, assigning each report a root-cause category to support trend analysis and corrective action.
Improves root-cause classification accuracy and increases the share of recurring defects addressed at source.
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