Back to Portfolio Logistics & Freight Taxi

Goods Taxi

An on-demand freight logistics and delivery matching platform connecting cargo truck operators with commercial shippers.

Goods Taxi System Overview
Business Challenge

Commercial shippers had no real-time transparency into cargo locations or driver status, leading to manual tracking and severe transit delays.

Our Solution

Y2Code engineered a high-performance web dashboard for logistics dispatchers, synced with custom iOS/Android driver applications using continuous GPS tracking.

Key System Pillars & Modules Developed

Explore the core engineering capabilities, administrative controls, and customized pipelines built for this case study.

Continuous GPS Tracking

Live mapping feeds showing exact truck coordinates, speeds, and traffic conditions.

Load Matching Algorithm

Automated bid pairing that connects nearby truck operators with matching cargo loads.

Instant Digital Proof of Delivery

In-app signature and photo uploads that trigger automated invoicing logs upon arrival.

Driver Performance Console

Analyzes driving times, idle periods, and customer review scores for optimized assignments.

Technology Stack

Advanced frameworks, robust APIs, and cloud resources engineered by Y2Code senior architects for this platform.

React Native Node.js AWS Cloud S3 Google Maps API Socket.io WebSockets PostgreSQL

Strategic Business Impact & Results

Proven results showing improved operational speed, automated flows, and customer visibility metrics.

99.9%
System Uptime & Stability
High-Scalability Metrics: Freight fleet utilization optimized by 35%. Manual tracking support inquiries dropped by 80%, saving dispatchers hours of manual work daily.
Seamless Integrations: Dynamic REST controllers communicating via secure APIs to prevent inventory mismatches or overlapping reservations.
2026 Ready Coding: Clean-architecture database migrations, thoroughly commented modular controllers, and offline-ready local cache pipelines.

System UI & Screenshots Gallery

Take an exclusive inside look at the high-fidelity responsive user interface panels developed for this application.

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