Transform equipment downtime data and maintenance costs into actionable insights. Track real-time downtime patterns, analyze cost drivers, and identify optimization opportunities that maximize fleet availability while minimizing expenses.
Comprehensive analytics revealing true maintenance costs and availability impacts.
Gain complete visibility into equipment availability and maintenance expenses through integrated analytics that reveal the true cost of downtime and identify opportunities for improvement.
By combining downtime tracking with tech time tracking, you can accurately measure labor costs associated with breakdowns and understand the full financial impact of equipment failures.
| Metric | Current Month | YTD Average | Trend |
|---|---|---|---|
| Equipment Availability | 94.2% | 92.8% | ↑ 1.4% |
| Downtime Hours | 142 hrs | 168 hrs | ↓ 15% |
| Cost Per Mile | $0.42 | $0.48 | ↓ 12% |
| Emergency Repairs | $85K | $112K | ↓ 24% |
| Lost Revenue | $28K | $35K | ↓ 20% |
Multi-dimensional reporting that reveals the complete picture of maintenance performance
Transform raw data into strategic insights with reporting tools integrated with budget variance tracking
Live dashboards showing current equipment status, active downtime events, and accumulating costs.
AI-driven failure prediction and cost forecasting based on historical patterns and trends.
Benchmark performance across vehicles, locations, and time periods to identify best practices.
Automated executive summaries highlighting key metrics and improvement opportunities.
Leverage comprehensive analytics to identify and eliminate cost drivers while maintaining optimal equipment performance.
Integration with PM scheduler blueprints helps balance preventive maintenance costs against breakdown expenses, finding the optimal maintenance frequency that minimizes total costs.
By analyzing downtime patterns alongside spare parts reorder data, you can ensure critical parts availability, reducing emergency procurement costs and minimizing equipment downtime.
Annual cost savings identified
Reduction in emergency repairs
Reduce emergency repair costs by 40% through early failure detection
Lower inventory costs by 25% while improving parts availability
Improve technician productivity by 30% through better scheduling
Track and recover warranty costs with warranty claims flow integration
Get answers to common questions about downtime tracking and cost analysis
Essential downtime KPIs include Mean Time Between Failures (MTBF), Mean Time To Repair (MTTR), Equipment Availability Percentage, Planned vs Unplanned Downtime Ratio, and Cost of Downtime per Hour. Additionally, track First-Time Fix Rate and Emergency Maintenance Percentage to identify systemic issues. These metrics provide a comprehensive view of equipment reliability and maintenance effectiveness.
True downtime cost includes direct costs (repair labor, parts, vendor services) plus indirect costs (lost revenue, contract penalties, customer dissatisfaction, overtime to catch up, rental equipment). Calculate by multiplying hourly revenue loss by downtime hours, adding repair costs, and factoring in any penalties or lost business. Integration with tech time tracking ensures accurate labor cost capture.
High-value reports include Cost Per Mile/Hour Analysis, PM vs Reactive Cost Comparison, Top 10 Cost Drivers Report, Equipment Lifecycle Cost Analysis, and Vendor Performance Cost Impact. These reports identify where maintenance dollars deliver the best returns and highlight opportunities for cost reduction through process improvements or equipment replacement decisions.
Predictive analytics analyze historical failure patterns, operating conditions, and sensor data to forecast equipment failures before they occur. This allows scheduling maintenance during planned downtime, ordering parts in advance, and avoiding emergency repair premiums. Organizations typically see 30-50% reduction in unplanned downtime and 25-35% lower maintenance costs through predictive maintenance programs.
World-class fleet availability targets range from 92-95% for heavy-duty equipment operating in severe conditions, and 95-98% for standard operations. Critical revenue-generating equipment should target 98%+ availability. Track both mechanical availability (equipment capable of operating) and operational availability (equipment actually in use) to identify both maintenance and utilization opportunities.
Explore comprehensive reporting capabilities for complete maintenance insights
Monitor maintenance costs against budgeted amounts in real-time.
Track BudgetComplete maintenance management ecosystem for operational excellence
Stop guessing about maintenance costs and equipment availability. Get real-time visibility into downtime patterns, cost drivers, and improvement opportunities that maximize fleet performance while minimizing expenses.
Average fleet availability improvement
Lower maintenance costs achieved
Instant visibility into all metrics