Anticipation of quality problems

Prevent quality incidents before they happen

-20%

defective parts

+10%

of OTIF

Context

Manufacturing companies face increasing challenges in terms of product quality

Delayed detection of defects leads to high costs and production delays. Traditional solutions fail to proactively identify potential issues. This situation compromises customer satisfaction and business competitiveness.

Solution

Our AI solution analyzes production data in real time to identify warning signs of quality defects. Our advanced algorithms Machine Learning analyzes non-compliances and predicts anomalies before they affect production. Companies thus benefit from a reduction in waste, an improvement in product quality, and a reduction in non-compliance costs.

Benefits

  • Cost reduction related to defective products

  • Reduction of times unplanned downtime

  • Optimization of manufacturing processes

  • Increase in customer satisfaction

Nicolas Le Gall

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