Predictive Maintenance ROI Calculator
Estimate annual savings from reducing unplanned downtime on critical rotating equipment.
Quick Answer
A predictive maintenance AI typically reduces unplanned downtime on critical rotating equipment by 25 to 45 percent. For a plant losing $5,000 per hour to unplanned stops on 10 critical assets, that translates to a 7-figure annual saving once the model is in production.
Inputs
Your Numbers
Pumps, compressors, motors, turbines
Lost production + repair + penalties
Results
Illustrative Annual Value
Illustrative estimate only not a quote, forecast, guarantee or verified customer outcome. Replace every default and assumption with your own approved baseline before making an investment decision.
Book a Strategy CallFor a decision-grade business case, replace the assumptions with approved operating and cost data.
Assumptions
How This Illustrative Estimate Is Calculated
- • Savings = assets x hours x cost x reduction. A 25 to 45 percent reduction is typical for vibration plus historian plus operator-log models on rotating equipment.
- • Cost per hour should include lost throughput, expedited repair, and contractual penalties. For oil and gas, add deferred production at current commodity prices.
- • Numbers exclude implementation cost. NeoBram typically delivers a production pilot in 6 to 8 weeks and full enterprise deployment in 3 to 6 months.
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