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THE PILOT WORKED. NOW, CAN IT SCALE?

AI IN MANUFACTURING: TURNING POTENTIAL INTO PERFORMANCE

You’ve proven AI can create value. Now the challenge is turning individual successes into repeatable improvements across plants and operations.

Does This Sound Like Your Environment?
 

  • Data is fragmented across systems and operations.

  • AI pilots prove value, but don’t scale across plants.

  • Teams lack real-time insight for faster decisions.

  • Insights aren’t connected to operational workflows.

  • Leadership needs measurable gains in OEE, yield, cost, and uptime.
     

Most manufacturers don’t need more AI pilots. They need a repeatable way to turn proven use cases into operational impact at scale.

The Opportunity

SIX WAYS TO SCALE AI ACROSS MANUFACTURING

AI-Driven Quality Control

Improve quality and reduce waste
 

Predictive Maintenance 

Reduce downtime and improve reliability

Early Defect Detection

Identify production issues sooner
 

OEE Reporting & Analytics Platform

Improve operational visibility
 

Smart Machines & Industry 4.0 Platform

Connect machines, systems, and customers

Wind Turbine Real-Time Monitoring Platform

Monitor Assets at Enterprise Scale
 

Different use cases. One common challenge: turning data and AI into measurable operational outcomes.

Real-World Examples

Proof That It Works at Scale

AI-powered maintenance support for a European food manufacturer.

Proof Point

  • 20–40% faster troubleshooting
  • 10–20% higher first-time fix rate
  • Less Reliance on senior experts
  • Improved Uptime

Predictive maintenance data platform for a global engineering manufacturer

Proof Point
  • 12M+ telemetry records
  • 120+ FTE specialists
  • 1,000+ users with secure, governed access
  • 70+ test environments ensuring reliability

Early defect detection for a global automotive and electromobility manufacturer

Proof Point

  • 14 Stages covered end-to-end
  • 90%+ accuracy
  • Deviations flagged early before downstream processing
  • Full MLOps, not a black box

OEE reporting & analytics platform for a global FMCG manufacturer.

Proof Point

  • Zero new AI models required
  • Real-Time visibility
  • Self-Service dashboards
  • Factory-to-Machine insight

Smart machines & Industry 4.0 platform for a global industrial machine manufacturer.

Proof Point
  • 1 Cloud platform
  • Faster machine onboarding
  • Secure data exchange between machines, systems, customers
  • New revenue foundation on existing hardware

Wind turbine real-time monitoring for a global renewable energy manufacturer.

Proof Point

  • 11,000+ turbines
  • 10 People running the entire global network
  • 99%+ alarm handling accuracy
  • Deterministic Rule Engine, not a black box

Different manufacturing challenges. One clear opportunity: applying AI where it can deliver measurable operational impact at scale.

If you have any questions about the case studies and our Data & AI expertise, 
please contact marketing.growingmarkets@inetum.com