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IMMS — Intelligence Maintenance Management System

Turn asset-condition insights and remaining useful life estimates into timely maintenance priorities and spare-part plans.

Contact person: Dina · 858-2458-5090

IMMS — Intelligence Maintenance Management System

What problem it solves

A critical component fails before anyone planned the service.

Key capabilities

  • RUL Forecasting — part-life estimation
  • Asset Monitoring — condition visibility
  • Critical Priorities — actionable risk alerts
  • Spare Readiness — stock and lead times

KPIs it helps track

  • Unplanned downtime
  • Remaining useful life (RUL) per component
  • Critical-risk assets
  • Spare-part availability and lead time

KPI names only — baselines and targets are agreed with you during Discovery.

Data & connectivity prerequisites

  • Asset and component register
  • Condition or runtime data and maintenance history
  • Spare-part stock and lead-time data

Integration & deployment

  • Shop-floor signals via IIoT and edge gateways
  • ForgeLab Machine Learning for predictive models
  • ERP for spare-part inventory and purchasing
  • Deployment model and hosting are agreed during Discovery for your IT/OT environment.

Scope & limitations

  • RUL values are estimates; their reliability depends on history and data quality.
  • Assets with little history start with condition monitoring before prediction.
  • Maintenance decisions remain with your team.

Process flow handled

  1. Monitor asset condition
  2. Estimate remaining useful life
  3. Prioritize critical components
  4. Plan service and spare parts

Start with a Discovery Assessment.

Or talk to Dina directly on WhatsApp: 858-2458-5090.

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