I developed a real-time logistics tracking platform designed to help companies manage and monitor their fleets more effectively. The platform enables logistics managers to track vehicle locations in real time, assign tasks to drivers, and analyze route efficiency.

The front end was built using Angular, with real-time data being streamed via WebSockets to ensure that vehicle locations are updated instantly on the dashboard. I utilized the Google Maps API to display dynamic route information and vehicle status.

The back end was developed with Node.js and Express.js, and I used PostgreSQL for data storage, ensuring secure and efficient data management.

This platform significantly improved the efficiency of the client’s logistics operations, reducing delivery times and fuel costs by optimizing routes in real-time.