MARG is a unified GPS platform designed to transform government logistics through real-time fleet tracking, predictive analytics, and seamless data integration. Built to operate at an enterprise scale, it handles over 1 million daily location updates with 99.99% uptime. By providing smart geofencing, dynamic ETAs, and comprehensive role-based access, MARG enables smarter, more transparent, and highly efficient data-driven logistics management.
Live tracking of ETAs, vehicle stoppages, speed, and drive time.
Fullscreen satellite maps with dynamic geofenced overlays for precise tracking.
Seven distinct alerts (including speeding, GPS loss, and route deviation) tied to automatic email notifications.
Path plotting with exact speed, address, and timestamp data.
Strict Role-Based Access Control (RBAC) with page and group-specific permissions.
Support for bulk Excel upload, edit, delete, and multi-select actions.
Five distinct report types with filter-based Excel exports across all analytics views.
A highly responsive React and Tailwind CSS frontend optimized with lazy loading, code-splitting, and dark/light mode support.
A Node.js and Express backend handling over 50,000 GPS and shipment events per day via RESTful APIs and external TMS triggers.
A high-throughput Kafka-based pipeline processes over 1 million location updates daily, ensuring extremely low latency and 99.99% uptime.
A MySQL database heavily indexed and optimized using Drizzle ORM, resulting in a 70% improvement in query performance.
Integrate machine learning algorithms to dynamically suggest the most fuel-efficient and time-saving routes.
Develop a companion mobile application for fleet drivers to provide turn-by-turn navigation and digital proof of delivery.
Utilize vehicle telemetry data to forecast engine wear and tear, automatically alerting admins when maintenance is needed.
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