Context

Quality controls have a very significant impact on production chains, both on their time-consuming and financial aspects. Businesses need to find ways to improve the efficiency of their quality control while reducing associated costs in order to remain competitive.

Solution

Our intelligent sampling solution uses advanced machine learning algorithms to determine which samples are most at risk of poor quality, taking into account the characteristics of parts that have not historically passed checks. By automating and optimizing this process, we enable businesses to identify potential defects more quickly and effectively, while reducing quality control costs.

Benefits

  • Reduction of quality control costs through optimized use of resources
  • Improving defect detection and reducing the risk of product recalls
  • Increase in customer satisfaction by ensuring the conformity of the products delivered
  • Optimizing production processes through more accurate quality control data

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Résultats

-60%

of necessary quality controls

55%

of cost reduction

8

weeks of development

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