Zymr developed a mobile-first logistics app with real-time GPS tracking, geofencing, and AI-powered route optimization algorithms. The backend was built using serverless architecture on Google Cloud, with integrated ML models for dynamic ETA prediction and fuel efficiency scoring. We also built a dashboard for logistics managers with predictive insights and actionable alerts.
A global logistics and supply chain enterprise with operations across North America, Europe, and Southeast Asia. The client needed to digitize fleet management with AI-driven insights to improve route efficiency and reduce operational costs.
Fleet operations relied heavily on manual tracking and lacked visibility into fuel usage, vehicle status, and delivery performance. Route planning was static and couldn’t adapt to real-time traffic or delivery constraints. Manual data entry led to frequent delays and inconsistencies in reporting.
The platform reduced delivery delays by 25% and cut fleet fuel costs by over 18% within six months of deployment. It also improved driver compliance and route adherence across all operational zones.
Zymr developed a mobile-first logistics app with real-time GPS tracking, geofencing, and AI-powered route optimization algorithms. The backend was built using serverless architecture on Google Cloud, with integrated ML models for dynamic ETA prediction and fuel efficiency scoring. We also built a dashboard for logistics managers with predictive insights and actionable alerts.
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