The platform uses machine learning algorithms to automatically identify, classify, and correct unit of measure errors in supply chain and manufacturing data. It integrates with KNIME workflows and provides real-time visual dashboards for monitoring detection results and confidence scores. The system achieves 88-92% accuracy and operates with 94% autonomy to reduce manual data quality review.