All industries

Manufacturing

More uptime, higher yield, resilient supply.

% of global GDP
15%manufacturing value-added, of GDP
World Bank · 2024
Market size
$16.8Tvalue added
World Bank · 2024
Sector growth (CAGR)
3.4%CAGR to 2030
Global Industry Analysts · 2024
AI-adoption
77%of manufacturers adopting AI
Rootstock manufacturing survey · 2024

Functions

Select a function to highlight its specific problem use cases.

Function3 use cases

Production & Operations

  • Unplanned downtime stops the line

    Equipment fails without warning, halting production and blowing delivery commitments.

    Pain Rate
    11%
    Siemens / Senseye True Cost of Downtime · 2024
    Money Bleed / yr
    $1.4T
    Siemens / Senseye True Cost of Downtime · 2024
    Reach
    2 in 3
    Siemens / Senseye True Cost of Downtime · 2024
    Recoverable Upside
    30-50%
    Deloitte (Industry 4.0 asset maintenance) · 2023

    Data & tech stack

    Machine sensor / PLC dataMES / SCADA logsMaintenance historyIoT time-series (historian)Edge / stream processing

    Analytical models

    Predictive maintenance (RUL)Anomaly detectionSurvival / failure modelsVibration / signal MLRoot-cause analytics
  • Low OEE bleeds hidden capacity

    Speed loss, micro-stops and quality issues keep overall equipment effectiveness well below potential.

    Pain Rateestimate
    ~60%
    typical OEE vs 85% world-class
    Money Bleed / yrestimate
    $500B
    lost throughput value
    Reachestimate
    Global
    production lines
    Recoverable Upsideestimate
    20%
    OEE improvement attainable

    Data & tech stack

    Line & cycle-time dataDowntime / reject logsMES telemetryTime-series historianBI / analytics

    Analytical models

    OEE loss decompositionBottleneck detectionMicro-stop clusteringThroughput optimizationProcess-parameter modeling
  • Slow changeovers kill flexibility

    Long line changeovers make small batches uneconomic and cap product mix responsiveness.

    Pain Rateestimate
    ~15%
    of production time in changeover
    Money Bleed / yrestimate
    $120B
    changeover downtime cost
    Reachestimate
    Global
    SKUs & lines
    Recoverable Upsideestimate
    30-50%
    changeover time cut via SMED

    Data & tech stack

    Changeover event logsSchedule & SKU dataOperator / setup timesMES data lakeOptimization engine

    Analytical models

    Changeover-time predictionSequence optimization (SMED)Scheduling optimization (MILP)Clustering of setupsSimulation modeling