Introducing AI-Powered Predictive Maintenance
Curesh is proud to announce the launch of our new AI-Powered Predictive Maintenance feature, designed to help cold chain operators prevent equipment failures before they occur.
The Problem We're Solving
Refrigeration unit failures during transport can lead to:
Product spoilage: Thousands of euros in lost inventory
Delivery delays: Customer dissatisfaction and contract penalties
Emergency repairs: Premium costs for roadside service
Compliance issues: Regulatory violations and documentation gaps
Traditional maintenance approaches—whether reactive or scheduled—are inefficient:
| Approach | Limitation |
| ---------- | ------------ |
| Reactive | Failures occur, causing losses |
| Scheduled | Over-maintenance wastes resources |
| Condition-based | Requires manual analysis |
How AI-Powered Predictive Maintenance Works
Data Collection
Our system continuously monitors:
Compressor performance metrics
Refrigerant pressures and temperatures
Power consumption patterns
Door opening frequency and duration
Ambient conditions during operation
Machine Learning Analysis
Advanced AI algorithms:
Pattern recognition: Identify signatures of potential failures
Anomaly detection: Spot unusual behavior early
Trend analysis: Predict future performance degradation
Correlation mapping: Link multiple factors to failure modes
Actionable Insights
The system delivers:
Predictive alerts: Days or weeks before likely failures
Maintenance recommendations: Specific actions to prevent issues
Optimal scheduling: Best times for maintenance based on operations
Parts prediction: Anticipate component replacement needs
Key Features
Smart Alerts
Receive notifications based on:
Predicted time to failure
Severity of potential impact
Recommended action priority
Maintenance Dashboard
Visualize fleet health with:
Equipment health scores
Maintenance priority rankings
Historical performance trends
Predicted maintenance windows
Integration Capabilities
Connect with existing systems:
Work order management
Parts inventory systems
Technician scheduling
Financial systems
Early Results
Beta customers have reported significant improvements:
73% reduction in unplanned breakdowns
28% decrease in maintenance costs
94% prediction accuracy for major failures
45% improvement in technician efficiency
Customer Testimonial
"Since implementing Curesh's predictive maintenance, we've virtually eliminated roadside breakdowns. The system predicted a compressor failure three weeks before it would have happened, allowing us to schedule repairs during planned maintenance. This single prediction saved us approximately €15,000 in spoiled product and emergency service costs."
— Operations Director, European Pharmaceutical Distributor
Availability
AI-Powered Predictive Maintenance is now available to all Curesh Growth and Enterprise customers at no additional cost. Starter plan customers can access a limited version with upgrade options.
Getting Started
Ensure your fleet has compatible FMC920 devices installed
Enable the predictive maintenance feature in your Curesh dashboard
Allow 2-4 weeks for the AI to learn your equipment patterns
Start receiving predictive insights and recommendations
Future Developments
We're continuing to enhance our AI capabilities:
Q2 2024: Expanded failure mode coverage
Q3 2024: Integration with major refrigeration unit manufacturers
Q4 2024: Mobile app for technicians with AR-guided repairs
Learn More
Contact our team for a personalized demonstration of AI-Powered Predictive Maintenance and discover how it can transform your fleet operations.
