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Fleet Management System
MagniTracking offers a fleet management platform that combines IoT, video safety technology, vehicle telematics, and driver behavior analytics. Their platform provides businesses with the tools needed to monitor their fleets, optimize routes, improve safety, and ensure legal compliance. It also integrates IOT technologies, machine learning, AI, and analytics for real-time decision-making and actionable insights.
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Project duration:
20 weeks
My role:
UX Designer, leading UI Design
Tools used:
Adobe XD and Illustrator
Problem Statement
Problem Statement
MagniTracking’s existing fleet management platform was due for a redesign to accommodate the growing need for new integrations, modernized user interfaces, and improved functionality.
The Goal
The Goal
The platform aimed to make complex fleet management tasks more streamlined while providing deep insights through AI-powered analytics, real-time alerts and create a highly secure, data-privacy-compliant system.
My Responsibilities
My Responsibilities
Conducted interviews to understand needs and pain points, streamlined the platform’s structure for easier navigation and quick access to key features, designed modern, professional UI with a focus on clarity, consistency, and ease of use.
Project Summary
Project Summary
The redesign of MagniTracking Web aimed to elevate the platform’s user experience by focusing on intuitive navigation, powerful data analytics, and the seamless integration of multiple technologies such as AI, telematics, and video-based safety. With a mobile-first, responsive design, the platform now provides fleet managers, drivers, and compliance officers with the tools they need to optimize fleet operations, ensure safety, and comply with legal requirements.
I worked closely with developers to integrate new features (AI, video safety) and ensure seamless functionality, through advanced data visualizations and actionable reports, the platform empowers users to make informed decisions, improving fleet performance and reducing costs.
Up next
Up next
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