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Development of Real-time Air Cargo Monitoring Application
  1. case
  2. Development of Real-time Air Cargo Monitoring Application

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Development of Real-time Air Cargo Monitoring Application

triare.net
Logistics
Transport
Cargo monitoring

Challenges with Current Processes

The logistics company currently relies on multiple Excel spreadsheets for managing international air freight shipments. This system leads to data synchronization issues, difficulties in quickly filtering shipping agents, and delayed responses to problematic shipment issues. The lack of a centralized, real-time system hinders efficient planning and execution.

About the Client

A logistics company specializing in international air freight shipments, seeking to modernize its operational processes and gain real-time visibility into its cargo deliveries.

Project Goals

  • Develop a real-time cargo monitoring application to improve air freight shipment planning and execution.
  • Automate data management processes to eliminate reliance on spreadsheets.
  • Provide enhanced visibility into shipment status and location.
  • Enable efficient filtering and searching of shipping agents and other relevant data.
  • Improve responsiveness to potential shipment issues.

System Functionality

  • Dashboard for overall shipment status.
  • Admin and user dashboards with customizable views.
  • Detailed agent profiles including contact information and location.
  • Airport profiles with photos, descriptions, and relevant information.
  • Robust filtering and search capabilities.
  • Map integration with real-time location data of shipments, military bases, and airports.
  • Weather service integration to monitor weather conditions affecting shipments.
  • ULD (Unit Load Device) specification data with container visualization.
  • Currency conversion tools.
  • Time zone synchronization.
  • Ability to add comments and edit shipment details.

Technology Stack

MERN stack (MongoDB, Express, React, Node)

External Integrations

  • Weather service API

Non-Functional Requirements

  • Real-time data updates
  • Scalability to handle a large volume of data
  • High performance for efficient data retrieval
  • Secure data storage and access
  • User-friendly interface

Expected Business Value

The application is expected to significantly improve operational efficiency by automating data management, providing real-time visibility into shipments, and enabling faster decision-making. This will lead to reduced operational costs, improved customer satisfaction, and enhanced control over the air freight process.

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