KNIME AG helped TOFAŞ save over €1.3 million annually by automating quality control and predictive maintenance in their manufacturing processes. KNIME integrated IoT sensor data and historical fault records to enable real-time anomaly detection and defect classification using deep learning and logistic regression. This automation reduced manual monitoring, improved production efficiency, and minimized downtime. KNIME’s flexible platform supported predictive maintenance, allowing timely interventions that increased output and lowered costs, driving significant operational improvements and scalability for TOFAŞ.

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