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 Rate11%Siemens / Senseye True Cost of Downtime · 2024Money Bleed / yr$1.4TSiemens / Senseye True Cost of Downtime · 2024Reach2 in 3Siemens / Senseye True Cost of Downtime · 2024Recoverable Upside30-50%Deloitte (Industry 4.0 asset maintenance) · 2023Data & tech stack
Machine sensor / PLC dataMES / SCADA logsMaintenance historyIoT time-series (historian)Edge / stream processingAnalytical models
Predictive maintenance (RUL)Anomaly detectionSurvival / failure modelsVibration / signal MLRoot-cause analyticsLow 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-classMoney Bleed / yrestimate$500Blost throughput valueReachestimateGlobalproduction linesRecoverable Upsideestimate20%OEE improvement attainableData & tech stack
Line & cycle-time dataDowntime / reject logsMES telemetryTime-series historianBI / analyticsAnalytical models
OEE loss decompositionBottleneck detectionMicro-stop clusteringThroughput optimizationProcess-parameter modelingSlow changeovers kill flexibility
Long line changeovers make small batches uneconomic and cap product mix responsiveness.
Pain Rateestimate~15%of production time in changeoverMoney Bleed / yrestimate$120Bchangeover downtime costReachestimateGlobalSKUs & linesRecoverable Upsideestimate30-50%changeover time cut via SMEDData & tech stack
Changeover event logsSchedule & SKU dataOperator / setup timesMES data lakeOptimization engineAnalytical models
Changeover-time predictionSequence optimization (SMED)Scheduling optimization (MILP)Clustering of setupsSimulation modeling