Cargo Drone

Cargo Drone Service Strategy

Strategic Plan 01
Payload Expansion
Roadmap
A phased payload development strategy designed to increase operational capabilities and expand market opportunities.
Initial Phase
Deploying 50 kg-class cargo drones to establish logistics services in remote islands, mountainous regions, and other hard-to-access areas.
Advanced Phase
Introducing 200 kg-class heavy-lift cargo drones to support nighttime delivery operations and large-scale logistics transportation.
Strategic Plan 02
Strategic Partnerships
Collaborating with specialized partners to strengthen operational efficiency, technical capabilities, and service reliability.
UI Group
Responsible for aircraft manufacturing and Maintenance, Repair & Overhaul (MRO) services to ensure hardware reliability and operational readiness.
UI Helijet
Developing and operating automated drone logistics systems optimized for autonomous cargo transportation and efficient delivery operations.
Strategic Plan 03
Market Entry Strategy
Driving practical logistics innovation through large-scale infrastructure development and advanced operational systems.
Commercial Partnerships
Working with leading logistics providers to conduct pilot operations and validate business models through real-world applications.
System Advancement
Enhancing the Automated Loading Management System (ALMS) to improve cargo handling, loading efficiency, and logistics automation.

AI-Driven Drone Logistics System

The Cargo Drone Transportation Support System is designed to improve operational efficiency through the automation of cargo transportation and supply distribution.
By integrating AI-powered predictive maintenance and logistics demand forecasting, the system enables proactive resource management and optimized transportation planning.
Real-time transportation data is consolidated and visualized through an integrated operational platform, supporting efficient decision-making and rapid response capabilities.
Ultimately, the project aims to establish an autonomous air logistics system capable of providing reliable and resilient transportation support in both routine and emergency situations.

Key Components

AI-Powered Analytics System
Utilizes AI-driven logistics demand forecasting and intelligent procurement and warehouse selection algorithms to enable automated resupply operations and maximize transportation efficiency.
Drone Operations System
Employs autonomous and semi-autonomous drone platforms to support the transportation and emergency delivery of essential cargo, including food, equipment, spare parts, and medical supplies.
Integrated Operations Platform
Provides real-time location tracking, cargo status monitoring, and centralized operational control through an integrated information management system.
Vertiport-Based Logistics Network
Establishes automated cargo distribution and logistics support systems utilizing designated vertiports and QR/RFID-based identification technologies.

Core Technologies

The platform combines advanced route optimization algorithms, heavy-lift cargo drone technologies, integrated Ground Control Station (GCS) systems, blockchain-enabled logistics data management, and Digital Twin-based simulation capabilities to support efficient transportation planning, operational control, and mission readiness.