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Deployed an IIoT monitoring platform that reduced unplanned equipment downtime through predictive maintenance analytics.
41%
Unplanned Downtime Reduction
180+
Machines Monitored
19%
Maintenance Cost Reduction
Business and technical constraints that blocked outcomes.
Problem framed
Architecture, delivery model, and governance applied to the engagement.
Method selected
Wave-based execution with checkpoints for security, quality, and stakeholders.
Program executed
Measured outcomes ready for procurement and executive review.
Value proven
Executive Summary
Deployed an IIoT monitoring platform that reduced unplanned equipment downtime through predictive maintenance analytics.
41%
Unplanned Downtime Reduction
180+
Machines Monitored
19%
Maintenance Cost Reduction
Unplanned equipment failures were causing costly production stoppages, with no real-time visibility into machine health across the plant floor.
We integrated plant equipment with an IIoT sensor network feeding a real-time monitoring dashboard, paired with predictive maintenance models trained on historical failure data.
41%
Unplanned Downtime Reduction
180+
Machines Monitored
19%
Maintenance Cost Reduction
72%
Alert Response Time Reduction
Next steps
Plan a similar enterprise program with clear governance, security, and delivery milestones.
