Muhammad Ahmad
Muhammad Ahmad
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Case Study · Vehicle Tracking & Fleet Management

U-Track Lite

A production fleet application combining live location, trip history, operational records, and network-conscious mobile delivery.

Ownership
Built the complete application from zero through deployment and person...
Store Status
Google Play · 1K+ downloads
Stack
FlutterBLoC/CubitDioSQLiteGoogle MapsFlutterMap
  • U-Track Lite screen 1
  • U-Track Lite screen 2
  • U-Track Lite screen 3
  • U-Track Lite screen 4

01

The Challenge

Deliver a reliable fleet tracking and telemetry application that handles continuous high-frequency GPS updates, heavy route map rendering, and flaky mobile network environments without battery or UI degradation.

02

Architecture & State Patterns

  • Flutter architecture utilizing BLoC/Cubit for state isolation between map tracking, telemetry metrics, and vehicle list states.
  • Repository pattern with SQLite local storage for offline-first telemetry caching.
  • Modular map engine supporting both Google Maps and FlutterMap.

03

Backend, APIs & Platform Boundary

  • Dio HTTP client configured with custom interceptors for authentication, token refreshing, and adaptive request throttling.
  • Firebase Cloud Messaging (FCM) integration for real-time fleet alarms, route deviations, and geofence alerts.

04

Performance & Data Optimizations

  • Achieved an approximate 40% load-time improvement through local SQLite persistence, data-processing optimizations, and adaptive polling.
  • Engineered animated route polylines and custom vehicle map markers with smooth 60fps trip replays without frame drops.

05

Verified Outcomes & Production Delivery

  • Personally engineered and published the complete application to Google Play.
  • Surpassed 1,000+ Google Play downloads with active commercial fleet operations.
  • Significant reduction in client bandwidth usage and faster cold-start app launch.

Engineering highlight

  • •Built live fleet tracking with custom map markers, route polylines, and animated trip replay.
  • •Implemented local caching, SQLite persistence, adaptive polling, and data-processing optimizations.
  • •Improved load time by approximately 40% for a product with 1K+ Google Play downloads.
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