Customer Story

Gain a Competitive Edge with Yield & Quality Optimization

Learn how AI augmentation of institutional knowledge can improve output and quality, creating sustainable market dominance. This manufacturer reduces waste, improves yield, and saves $1 million a month conservatively.

The Challenge

Key product line represents ~$100M revenue/yr 

• Market dominance relies on high quality product 
• Currently discard 25% due to high standards 
• Digital cameras used for inspection 
• Process engineers still must manually inspect
  • Labor intensive 
  • Error prone

The Solution

• Process data captured
  • Per second temp. in each zone of process
  • Combined w/ manual reports from engineers
• Model production lifecycle with digital twin
  • Predict # of deformities
• Prescriptive optimizer minimizes defects
  • Optimizes temp. for specific properties
  • Enhance quality progressively with ML
• Engineers trained in AI/ML for diagnostics

The Impact

• Every correct prediction saves product
  • Reduces waste
  • Improves yield and reduces costs
• Up to 50% of discards avoided
• $8M-$12M conservative savings estimate
  • ~$1M Month
• Maintain extremely high quality standards

Get started with your quality optimization project today!

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