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Business

DX

Mission-Oriented AX
Logistics Powered by AI and Human Expertise

Going beyond simple task automation, POSCO FLOW is evolving into an intelligent logistics service provider that delivers customer-optimized logistics value through data and AI.

*DXDigital Transformation
*AXAI(Artificial Intelligence) Transformation

VISION

The AX vision of POSCO FLOW aims to achieve sustainable profitability growth and future growth opportunities through a new work paradigm in which people and AI collaborate seamlessly.

Vision Core Value

Profitability Improvement

Creating strategic business value
beyond operational efficiency

Vision Core Value

Customer Value

Enhancing service quality through
data consistency and innovation in reduced logistics lead times

Vision Core Value

Future Growth

Developing AI-based new business models
and expanding market opportunities

Profitability
Improvement
Customer
Value
Future
Growth
Vision Philosophy

AI at POSCO FLOW is not designed to replace people.

Under a safe and reliable AI governance framework, AI workers packaged for specific job functions collaborate organically with operational staff.

Data Extraction
Draft Generation
Pattern Analysis
Intelligent Support
AI
Personnel
Exception Handling
Decision-Making
Final Review and Approval

STRATEGY

POSCO FLOW has defined three core areas to realize AX across every aspect of its logistics business.

Process

Process

Logistics AX

The entire logistics operation process is being transformed into an AI worker collaboration framework.

1
Intelligent Routing Planning

AI-based route optimization and scheduling

2
MI-Connected Risk Management

Proactive risk management based on global market data (MI : Market Intelligence)

3
Maximizing Operational Efficiency

Decision-making support through real-time data analysis

Work

Work

Office AX

Repetitive administrative tasks are being eliminated through AI-driven automation.

1
IDP-Based Document Automation

Intelligent processing of unstructured documents such as B/Ls, invoices, and contracts

2
Elimination of Manual Operational Tasks

Reducing operational lead times through system-based automation

3
Email Workflow Automation

AI agent-based customer response and internal communication support

Value

Value

Safety / ESG AX

Realizing a zero-accident workplace.

1
Vision AI-Based Site Monitoring

Real-time detection of hazardous situations through CCTV-based monitoring

2
Preventive Safety Management

AI-based accident prediction and proactive response

3
Strengthening ESG Management

Establishing a data-driven sustainability management framework

AX WORKPLACE

AI at POSCO FLOW operates on the integrated "AX Workplace" platform, where cognition, memory, and execution are seamlessly connected.

Cognition

IDP Intelligent Document
Processing
  • Document Classification
  • Data Extraction
  • Validation and
    Exception Handling

Memory / Knowledge

DIP Data Intelligence
Platform
  • Data Integration
  • Learning and Storage

Execution

AI Agent
  • System Integration
  • Workflow Automation
IDP

Intelligent Document Processing

A technology that reads and understands unstructured documents to extract data. AI automatically classifies invoices, accounting documents, and supporting documents, extracts relevant fields, and enters the data into the system.

DIP

Data Intelligence Platform

A repository that integrates enterprise-wide data and transforms it into structured knowledge that AI can learn from. Data quality standardization provides the foundation for AI to make accurate decisions.

AI Agent

Based on extracted data and accumulated knowledge, AI agents make decisions and perform tasks by integrating with systems such as FLOWer and ERP systems. It acts as an execution agent, carrying out specific missions such as routing automation and quotation service automation.

ROADMAP

Introducing POSCO FLOW's mid- to long-term AX roadmap
toward becoming a global logistics leader that delivers the highest value to customers.

Phase 01

Building the Foundation for AI Assets

Identifying minimum-unit tasks such as IDP, email processing, and verification
Designing and developing single-purpose unit agents
Establishing a reusable asset management portal

Phase 02

Securing AI Workers

Process-based master agent development
Introduction of a visual AI worker builder
Establishment of AI worker status management and logging systems

Phase 03

Enterprise-Wide Expansion of
AI Workplace

Development of orchestration agents for AI agent control
AI worker status and performance monitoring
Establishment of AI worker evaluation and retraining systems