A mid-size regional manufacturer approached us in early 2023 with costly equipment failures disrupting their production schedules. By implementing AI-powered predictive maintenance, we helped them reduce unplanned downtime by 35% and maintenance costs by 28% within 12 months.
Industry: Manufacturing
Company Size: 280 employees
Project Duration: 14 weeks
Implementation: 2023-2024
This regional manufacturer was experiencing frequent, unpredictable equipment failures across their production lines. Traditional scheduled maintenance was insufficient, leading to:
Drawing from our 7+ years in digital transformation, we developed a comprehensive predictive maintenance strategy:
IoT Sensors: Vibration, temperature, acoustic monitoring
Data Pipeline: Real-time streaming and cloud storage
AI/ML: Anomaly detection, predictive modeling
Dashboard: Custom visualization and alert system
Integration: Existing ERP and maintenance management systems
Reduction in Unplanned Downtime
Decrease in Maintenance Costs
Weeks to Full Implementation
Months ROI Payback Period
"Working with Arqonox transformed how we approach equipment maintenance. Their team understood our manufacturing environment and delivered a solution that actually works in the real world. We're now preventing problems instead of just reacting to them."
— Operations Director, Regional Manufacturing Company
Common questions about implementing AI-powered predictive maintenance in manufacturing environments.
Initial improvements in maintenance efficiency were visible within 6 weeks. Full ROI realization took 18 months as predicted.
No, we worked with their existing machinery, adding sensors and connectivity where needed. This kept costs manageable.
Our models achieve 87% accuracy in predicting equipment issues 2-4 weeks in advance, giving ample time for planned maintenance.
Integrating with legacy systems and ensuring the maintenance team was comfortable with the new technology.
Absolutely. We designed a scalable solution that can start with critical equipment and expand based on ROI and budget.