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What AI is already doing in process manufacturing

Scheduling, energy, maintenance: turn the process data you already have into decisions you can act on.

01
+53%

in overall equipment effectiveness (OEE)

Integrated production scheduling and performance management

European food processing plant

  • Batch cycle time: −17%
  • Delivery shortfalls: −15%
  • Costs: −16%, while handling 30% more product variants
02
+50%

in productivity

Machine data connected directly to the ERP

Food processing plant within a French group

  • Changeover times: −28%
  • Energy consumption: −40%
  • Costs: −19%
03
−30%

in maintenance costs

Predictive maintenance and energy management

Industrial plant in France

  • Energy use: −10% in the initial phase
  • With an AI model added later: energy −25%, CO₂ −25%, water −64%
04
−16%

in energy use per unit produced

Process data analysis

European electronics manufacturing plant

  • Direct and energy-related emissions: −69% at unchanged production volumes

These results were published by manufacturers and were not delivered by FABELSA. A FABELSA pilot is measured against your own figures before any wider rollout.