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Chemical Production Case Study


Improving chemical production quality and yield by minimizing process inefficiencies

Learn how a multinational manufacturer of Ethylene Dichloride implemented process-based Industrial AI to increase production yield by €1.7M in less than 12 months.

The manufacturer decided to invest in Industry 4.0 and production optimization and looked for a solution with these capabilities:

  • Combine their manufacturing expertise into data analytics and machine learning
  • Provide operational teams with simple and accurate insights regarding process inefficiencies
  • Deliver predictions on future process inefficiencies
  • Increase yield and improve quality



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