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Development of a User-Centric Courier System Dashboard for Real-Time Logistics Management
  1. case
  2. Development of a User-Centric Courier System Dashboard for Real-Time Logistics Management

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Development of a User-Centric Courier System Dashboard for Real-Time Logistics Management

phenomenonstudio.com
Logistics
Transportation
Warehousing

Challenges in Logistics Operations

Wayels faced inefficiencies in vehicle loading processes, lack of real-time driver tracking, insufficient analytics for decision-making, and a complex interface that hindered user productivity. These issues led to increased operational costs and potential delivery delays.

About the Client

A logistics company providing transportation, handling, and storage services to optimize supply chain operations.

Key Project Goals

  • Create an intuitive dashboard for real-time parcel and vehicle tracking
  • Optimize cargo loading processes with interactive tools
  • Implement GPS-based driver monitoring and communication
  • Enhance data visualization through actionable analytics widgets
  • Improve user adoption through a modern, customizable interface

Core System Functionalities

  • Real-time parcel tracking and status updates
  • Vehicle selection with load capacity visualization
  • Interactive 3D cargo load shaping interface
  • GPS-based driver location tracking with messaging
  • Customizable analytics widgets for KPI monitoring
  • Dark/light mode toggle for user preference

Technology Stack

React.js
Node.js
MongoDB
WebSockets
Mapbox API

System Integrations

  • GPS tracking APIs
  • Real-time messaging platform
  • Third-party analytics tools

Non-Functional Requirements

  • Scalable architecture for growing fleet sizes
  • Real-time data processing under 500ms latency
  • Role-based access control for security
  • Cross-browser compatibility (Chrome, Firefox, Safari)
  • High-availability infrastructure (99.9% uptime)

Expected Business Impact

The new system will reduce vehicle loading errors by 40%, decrease route planning time by 30%, and improve on-time delivery rates through real-time monitoring. Enhanced analytics will enable data-driven capacity planning, while the intuitive interface is projected to reduce training time by 50%.

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