Our client developed a fleet management system interface to empower his business, which is short- and long-term rental of industrial equipment and to support the company’s Service & Repair division. The purpose of the system was to ensure that the company’s vehicle fleet remains accessible, manageable, and in service.
The client needed a new solution based on the fleet management system to track his vehicles' locations around Europe and provide real-time analytics to allow more efficient exploitation of his company's fleet and personnel resources. Besides, the solution would have to provide an automated calculation of the fees to be paid depending on a vehicle type and route distances.
The main tasks were to boost the system's performance, enable multi-tenant architecture to support the program in the hosted and on-premise modes, and make the solution available in multiple languages.
Considering the specific requirements for the project, we decided to step away from the standard mean stack. We used PostGIS and PostgreSQL to develop the solution that provides real-time location statuses for all assets on one dashboard — with full-fleet metrics, maintenance scheduling, instant alerts, and reports.
ElifTech’s solution included creating an internationalization mechanism, geofence, alarm notification, dashboard, and security modules. We implemented a routing module that enables the calculation of fees. For the sake of performance improvement, we used server-side instead of client-side paging.
Thanks to API optimization, we managed to reduce the number of requests to the database, and by reducing the number of requests to API, we optimized the client. The multi-tenant architecture was designed to support two deployment types: an on-premise and hosted app.
The implementation of our solution allowed the client to significantly lower costs and boost the outcome of business operations. Through the convenient access to real-time analytics on a dashboard, the company can manage its fleet and personnel resources much more efficiently.
The solution helped reduce unauthorized usage of vehicles, improved route optimization and fleet productivity, as well as minimized fuel consumption.
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