Reduce
unplanned downtime
Combine IoT sensor data with AI-powered predictive maintenance to detect equipment degradation early. Schedule maintenance during planned windows instead of scrambling after breakdowns.
From reactive firefighting to planned interventions
Most organisations still operate reactively - 82% of maintenance is unplanned, according to Plant Engineering surveys. Every hour of unplanned downtime costs an average of €240,000 in lost output, scrapped materials, and cascade delays across the production schedule.
KFactory changes this by connecting directly to your equipment through IoT sensors - monitoring energy consumption, vibration, pressure, and temperature in real time. The platform's AI continuously analyses these signals to detect degradation patterns weeks before failure occurs, estimates remaining useful life for critical assets, and automatically recommends optimal maintenance windows that respect your production priorities.
When an anomaly is detected, KFactory alerts your team via Microsoft Teams or email with specific troubleshooting guidance drawn from your equipment documentation and historical maintenance records. Maintenance work orders are generated digitally with photo capture and sign-off workflows, while spare parts inventory is tracked with AI-powered reorder recommendations - so the right part is available when you need it.
The result: maintenance shifts from costly fire-fighting to planned, optimised interventions - extending equipment lifespan, reducing parts inventory costs, and keeping your production lines running.
What you can expect
Reduce unplanned downtime by 30-50%, saving €240K+ per avoided hour of stoppage.
Based on McKinsey and Deloitte research on predictive maintenance in operations. The €240K/hr figure is the European operations average (Aberdeen Research), covering lost output, scrap, and cascade delays.Beyond the direct savings, shifting to predictive maintenance reduces parts inventory costs by eliminating emergency procurement, extends asset lifespan by servicing equipment at the right time, and frees maintenance teams from reactive crisis response so they can focus on higher-value work.