Real Problems. Measurable Results.
Every use case follows the same pattern: identify the pain, deploy IRIS modules, and measure the impact — typically within the first 90 days.
Production Monitoring & OEE
The Challenge
Operators collect data by hand, OEE numbers arrive hours late, and decisions are always reactive — never predictive.
How IRIS Solves It
IRIS connects IoT sensors and MES data in real time, delivering live OEE dashboards with AI-driven root cause analysis so you act on facts, not hunches.
15–25% OEE improvement within 90 days
Predictive Maintenance
The Challenge
Unplanned breakdowns halt production, reactive maintenance burns budgets, and spare parts inventory spirals out of control.
How IRIS Solves It
IRIS ingests vibration, temperature, and current data from equipment sensors, applies ML models, and simulates failure scenarios with Digital Twin — so you fix machines before they fail.
30–40% reduction in unplanned downtime
Quality Management
The Challenge
Defects are caught too late, inspections are manual and inconsistent, and tracing a quality issue back to its root cause takes days.
How IRIS Solves It
IRIS automates inspection triggers, predicts quality deviations with AI, and correlates defects to specific suppliers, batches, or process parameters in seconds.
20–35% reduction in quality costs
Warehouse & Material Flow
The Challenge
Material shortages stall the line, warehouse layouts are chaotic, and gate scheduling is a manual guessing game.
How IRIS Solves It
IRIS WMS optimizes material flow with AI, integrates MRP for demand-driven replenishment, and supports AGV/AMR coordination for lights-out logistics.
25% improvement in warehouse throughput
Energy & Sustainability
The Challenge
Energy consumption is a black box, ESG reports are assembled manually each quarter, and carbon tracking has blind spots.
How IRIS Solves It
IRIS monitors energy in real time at the machine level, uses AI to optimize consumption patterns, and auto-generates ESG compliance reports.
10–20% energy cost reduction
AI-Powered Production Planning
The Challenge
Static schedules can't handle disruptions, what-if analysis doesn't exist, and planners optimize by gut feel.
How IRIS Solves It
IRIS APS combines Digital Twin simulation with AI scenario optimization, handling hundreds of constraints to build schedules that actually survive contact with reality.
20–30% improvement in schedule adherence
Which Challenge Is Costing You the Most?
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