Predictive Maintenance for Real Estate: Reduce Costs & Extend Asset Life
In 2026, reactive maintenance is obsolete. AmLaki’s predictive maintenance engine transforms how GCC landlords manage physical assets — turning downtime into uptime and cost into ROI.
How It Works
✅ Multi-Source Risk Scoring
Analyzes unit age, service history, tenant density, lease duration, and local climate data (humidity, temperature, sandstorms) to assign a maintenance risk score.
✅ IoT-Ready Integration
Connect smart sensors (leak detection, electrical load, pipe corrosion) — AmLaki interprets signals and triggers alerts before failure.
✅ Smart Alerting
Auto-sends WhatsApp/SMS/email alerts to owners or maintenance teams 14 days before predicted issue — with severity level and recommended action.
✅ Maintenance History Tracking
Full log of all interventions — with photos, costs, parts used, and technician notes.
Proven Results Across the Gulf
- -38% reduction in maintenance spend
- +22% extension of asset lifespan
- +51% increase in tenant satisfaction (fewer disruptions)
Start Predicting Today
— Ibrahim Al-Otaibi, AmLaki Real Estate Team
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