RMS Route Master Solutions white logo overlaid on an aerial view of a large logistics facility with trucks and loading docks.
The official RMS Route Master Solutions logo featuring a stylized 'RMS' lettermark in black and blue, with a compass icon in the corner.
Typography specimen for the Nunito Sans font family used in the RMS project, displaying uppercase, lowercase, and numbers on a blue background.
A collection of black and blue user interface icons for the RMS application, including navigation, actions, file management, and settings.
A laptop mockup displaying the RMS Route Master Solutions landing page with a route map, alongside feature panels for 'Accurate Route Pricing', 'Seamless Integration', and 'Efficiency & Clarity'.
Two tablet mockups showing the RMS GIS route planning interface with a map of Serbia, a calculated route between two points, and a detailed distance and cost breakdown table.
A collection of user interface modals for the RMS tool, including a layer manager, report generator, sharing options, and print settings with a map preview.
Four screenshots of the RMS application's map interface showing different data layers and views, including standard maps, satellite imagery, and nighttime maps with route overlays and time-series controls.

RMS Advance GIS Logistic Tool

This project involved the design and development of the RMS Advance GIS Logistic Tool, a sophisticated web-based application specifically built for a logistics company. The primary goal was to create an intelligent system to dramatically streamline route planning and quoting processes, directly addressing the challenges logistics managers face in optimizing complex delivery networks and improving overall operational efficiency. This kind of tool is particularly relevant for logistics challenges within large-scale operations, sometimes associated with the Entertainment & Events sector as specified.

Applying robust UX/UI Design principles alongside technical requirements, the tool allows users to input detailed logistics parameters including truck specifications, goods weight, height, costs, and other vital criteria. Leveraging powerful mapping technologies such as Google Maps API, OpenStreetMap, and LeafletJS, the system calculates the most efficient route based on user-defined constraints (like cost or time). It then automatically generates precise quotes and comprehensive reports, transforming formerly manual tasks into a fast, accurate, and data-driven workflow essential for effective logistics decision-making and web application development.

Technically, the application utilizes a modern and scalable architecture. The frontend was built with ReactJS to provide a dynamic and intuitive user interface, planned through Figma and Photoshop. The backend logic, handling complex calculations and data interactions, is powered by Java with Spring Boot and NodeJS, communicating via a REST API and supported by a SQL Database. The deep integration of various mapping libraries was foundational to the tool's GIS capabilities, enabling real-time data processing and advanced route visualization, making it an indispensable asset for logistics operations seeking reduced costs and improved delivery times. Our comprehensive web development capabilities made this complex tool possible.

Photoshop
Figma
HTML5
CSS3
JavaScript
ReactJS
NodeJS
Java
Spring Boot
SQL Database
REST API
Google Maps API
OpenStreet Maps
LeafletJS