An IoT-integrated asset tracking and maintenance platform with preventive scheduling, anomaly detection, and RAG-powered insights.
AI is built into the platform, not bolted on. Query your data, analyze documents, and automate workflows with intelligence baked into every module.
The Challenge
An infrastructure company managing distributed physical assets needed real-time health monitoring, scheduled maintenance workflows, and predictive analytics to prevent costly unplanned downtime across their asset portfolio.
What We Built
An IoT-integrated asset tracking and maintenance platform with preventive scheduling, anomaly detection, and RAG-powered insights.
Core Platform
- IoT-based asset health monitoring with uptime tracking
- AMC scheduling and preventive maintenance automation
- Asset lifecycle management with service history and costs
- Vendor and contractor management for service dispatch
- Spare parts inventory with automated reorder workflows
AI & Agentic Capabilities
- Agentic AI for proactive failure detection and alerts
- Anomaly detection for cost deviations and downtime
- RAG-based asset summaries and maintenance reports
- AI dashboards for maintenance performance and utilization
- Digital twin modeling for asset wear simulation and planning
Impact & Results
Shifted to preventive maintenance, reducing downtime
Extended asset lifecycles via AI-driven servicing
Real-time visibility into asset health and cost tracking
Reduced vendor response time with automated dispatch
Lowered spare parts costs by 25% with predictive stocking
Key Features
Asset manager dashboard with IoT health monitoring
AMC scheduler with preventive maintenance workflows
RAG-powered asset reports with service history
Field technician mobile app with service logging
Spare parts catalog with procurement and stock tracking
Asset Tracking & Maintenance System Blogs
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