ROI Calculator

    Predictive Maintenance ROI Calculator

    Estimate annual savings from reducing unplanned downtime on critical rotating equipment.

    AI

    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

    Estimated Annual Value

    Baseline annual downtime cost$3,000,000
    Downtime hours avoided per year210 h
    Estimated annual savings$1,050,000
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    Assumptions

    How We Calculate This

    • • 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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