Tecnocom – Using AI to Reduce Product Quality Issues in Manufacturing

Reduced Production Faults By %

Reduced Process Downtime

Improved Product Quality


Increased Process Efficiency

Executive Summary

Tecnocom, Argentina’s top PVC compounds supplier, successfully implemented an AI-driven solution by NOW to detect production line failures. Through video processing, AI algorithms identified colorimetry changes and bulking patterns, enabling early detection of faults. As a result, faulty production decreased by 40%, improving product quality and customer satisfaction. The early detection system streamlined operations, reducing costs and enhancing efficiency. This case study highlights the transformative impact of AI in manufacturing, ensuring timely identification and correction of faults for enhanced productivity and brand reputation.

Business needs

Tecnocom, Argentina’s leading supplier of rigid and flexible PVC compounds, faced a critical business need to promptly address production line failures. The company aimed to improve product quality and reduce faulty production resulting from colorimetry changes and bulking of PVC compounds. Traditional manual inspection methods were insufficient to detect faults early, necessitating an innovative solution to enhance their manufacturing process and maintain their reputation as the top PVC compounds supplier.

Business results after AI implementation:

  • Reduced Production Faults by 40%: Early detection through AI led to a significant drop in faulty production, improving product quality.
  • Cost Savings: Timely fault identification saved materials, labor, and energy consumption costs.
  • Improved Operational Efficiency: Streamlined production processes, minimized downtime and boosted productivity.
  • Optimal Supply Chain: Early fault detection improved supply chain management.

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