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§ 03  —  MANUFACTURING · PREDICTIVE MAINTENANCE · 2024
€200kdowntime prevented, Q1

German manufacturing SME

All case studies are anonymized. Industry, project type, and outcomes are accurate.

PROBLEM

Fixed-interval maintenance was causing more disruption than the failures it prevented. Equipment failed during production shifts with no advance warning.

SOLUTION

Sensor data from 12 production lines feeds an anomaly detection model. Maintenance windows are now scheduled on predicted risk, not calendar dates — catching failures 3–5 days before they occur.

FULL CASE STUDY

The detailed case study — including methodology, architecture decisions, and measured outcomes — is currently in preparation. Contact us if you would like to discuss this project in more detail.

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