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Real-time GPS Asset Tracking
Provides continuous location updates for vehicles, e-bikes, and bins, helping managers oversee fleet movements.
The solution needed to offer real-time GPS tracking, fuel and battery monitoring, geofencing, and automated maintenance scheduling.
Additionally, the system had to integrate smart locks for e-bikes and IoT sensors for waste bins to enable proactive decision-making and efficient operations.
We developed a complete IoT-enabled Fleet Management Solution that supports both mobile (Android, iOS) and web platforms. This system offers seamless tracking, optimized routing, and automated alerts for enhanced operational efficiency.
IoT Integration: Ensuring seamless communication between various IoT-based smart devices and the system.
Smart IoT Integration: Integrated a wide range of IoT devices, such as smart GPS locks for e-bikes, sensors for tracking bin fill levels, and fuel level monitoring systems for vehicles.
Data Privacy and Security: Maintaining data security while managing sensitive information from IoT devices.
Automated Alerts: Built a system that triggers alerts based on parameters like fuel levels, battery status, and asset location, enabling timely interventions.
Scalability: Developing a scalable solution to manage growing fleets across multiple locations.
Route Optimization: Implemented AI/ML algorithms for optimizing routes based on real-time data, reducing operational costs and fuel consumption.
Asset Compliance: Ensuring that all tracked assets comply with industry standards and regulations.
Geofencing: Enabled geofencing capabilities to monitor assets like e-bikes, sending alerts if they move outside of designated areas.
End-user Training: Providing training for users to operate the IoT-based system efficiently.
User Training: Provided detailed training programs and documentation to ensure smooth onboarding and user efficiency.
Enhanced Real-time Tracking: Enabled fleet operators to monitor assets like vehicles, e-bikes, and bins in real-time, improving response times and decision-making.
Optimized Operations: AI-driven route optimization reduced travel time and fuel costs, resulting in significant operational improvements.
Improved Security: Geofencing and smart locks ensured that assets remained secure, with alerts for unauthorized access or movement.
Reduced Downtime: Automated alerts for maintenance and fuel/battery levels minimized disruptions and maximized asset uptime.
Dribbble
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