We anchor every assumption at or below the low end of published research, so real results tend to beat this estimate rather than fall short of it.
1. Recovered Production
Unscheduled downtime causes rescheduled appointments and lost revenue across every room and location. We model 30% recovery — below the 35–45% downtime reduction the U.S. DOE Federal Energy Management Program attributes to predictive maintenance.
2. Emergency Repair Avoidance
Reactive repairs cost 3–5× more than the same work planned in advance, per the same DOE research — overtime labor, rush parts, and cascading damage. We model 60% avoidance, a conservative share of that reactive premium.
3. Facilities Service Optimization
We compare your labor rates vs. our vetted contractor network. If your rate already beats ours, that line is $0 — never inflated, consistent with standard vendor-consolidation practice per the IFMA Knowledge Library.
Full Methodology & Sources
Every assumption in this calculator traces back to published research from government, academic, and industry bodies. Where a source gives a range, we anchor our default at or below its low end — so real results tend to beat the estimate rather than fall short.
30–45%
Downtime reduction from predictive maintenance programs
U.S. DOE / FEMP
3–5×
Cost of reactive repairs vs. the same work planned in advance
U.S. DOE / FEMP
10–20%
Equipment uptime increase from predictive maintenance
Deloitte Insights
ADADental Practice ResearchAmerican Dental Association, Health Policy Institute. Source for national dental practice production benchmarks used to calibrate revenue defaults.
This calculator provides directional estimates for planning purposes based on the inputs you provide and the published benchmarks above. Actual results vary by practice. It is not a guarantee of savings or financial advice.
