Predictive maintenance ROI calculator — enter your plant details to see annual savings, payback period, and 5-year projection.

Application

Predictive Maintenance ROI Calculator

A focused planning tool for modeling downtime recovery, repair avoidance, maintenance savings, and 5-year financial impact from predictive maintenance.

Step 1 of 4 · Plant profile Progressively tuned assumptions, scenario comparison, and report-ready results.
Step 1

Set the plant operating context.

Choose the plant profile inputs that influence reliability improvement assumptions and deployment cost.

Plant profile

Context that shapes the model
Select the operating environment closest to your critical asset base.
Region affects currency formatting and modeled deployment cost.

Scale and utilization

Asset count and runtime intensity
50
Rotating equipment, pumps, compressors, motors, and similar assets.
7,000
Use 8,760 hours for continuous operations.

Reliability baseline

Current maintenance maturity
12
Older sites generally carry a higher baseline failure rate.
Used to tune downtime, breakdown, and planned-maintenance reduction rates.
Step 2

Map your current maintenance cost base.

Enter the operational assumptions that define your current maintenance and downtime burden.

Downtime and repair exposure

Production loss and emergency cost pressure
40
Across all critical assets in scope.
Lost output, idle labor, and opportunity cost during the outage window.
12
Breakdown events requiring urgent action or contractor support.
Include labor, contractors, express spares, and disruption overhead.

Maintenance operating model

Budget, labor, and working capital
Parts, scheduled PM, internal labor, and contractor spend.
15
Technicians, planners, and reliability engineers currently supporting the site.
Used to estimate working capital release and carrying-cost improvement.
3
Operational risk signal for equipment failure severity and urgency.
Steel · India · 50 machines
Step 3

Review the executive ROI view.

These outcomes combine downtime recovery, repair avoidance, maintenance optimization, labor productivity, spare-parts release, and energy efficiency into one financial picture.

Annual savings with PlantOS PdM
vs your current maintenance approach
Payback period
Based on plant size and complexity
Downtime hours recovered / year
5-year cumulative net ROI
Net of full implementation cost
Emergency repairs eliminated / year
Fewer breakdown crises across critical assets
Spare-parts inventory reduction
Working capital freed up from excess stock
Projection view

5-year cumulative savings projection

Compare the site’s cost trajectory without predictive maintenance against the modeled path with PlantOS PdM.

Without PdM (cost trajectory) With PlantOS PdM Cumulative net savings
5-year projection chart showing cumulative savings from predictive maintenance implementation.
Savings mix

Savings breakdown by category

See how each major cost stream changes between the current state and the modeled PdM-enabled state.

Detailed breakdown

Annual savings by cost category

A side-by-side annual view of before and after operating cost, plus the value unlocked in each category.

Cost category Before PdM After PdM Saving
Unplanned downtime losses / yr
Emergency repair cost / yr
Planned maintenance budget
Labor productivity gain
Spare parts inventory release
Energy efficiency gain
Total annual benefit
Scenario testing

Compare adoption paths

Pressure-test the business case against slower rollouts, typical deployment conditions, and faster uptake.

Benchmarks: Deloitte (2024) — 35–45% downtime reduction, 70–75% breakdown elimination, 25–30% maintenance cost reduction, 10–20% labor productivity gain. McKinsey (2023) — 10–25% energy efficiency improvement. Gartner (2024) — 20–35% spare-parts inventory reduction with PdM. Actual outcomes vary by implementation quality and asset condition.
Step 4

Request the detailed ROI report.

Share your details if you want the same model packaged into a personalised ROI summary for follow-up.

Your ROI snapshot

Steel

Contact details

Used only to route the request
By submitting, you agree to Infinite Uptime’s privacy policy. The report will be routed within 1 business day.