AI-based Risk Evaluation and Operations for Construction Supply Chain Financing
Revolutionary multi-agent AI system leveraging Deepseek R1, LLaMA 3, and FinLLaMA to transform construction finance risk assessment with 98.7% accuracy and 85% time reduction.
ARO transforms construction supply chain financing through advanced AI agents working in perfect coordination
98.7% accuracy in document processing with intelligent validation
Comprehensive ratio analysis and trend detection using FinLLaMA
Real-time news collection and sentiment analysis
Multi-dimensional risk scoring with 94.3% accuracy
Six specialized AI agents working in perfect coordination to deliver comprehensive risk assessment
OCR Processing
Deepseek R1
Advanced document processing with 98.7% accuracy
Data Filling
FinLLaMA
Financial analysis and client card generation
News Collection
LLaMA 3
Market intelligence and risk tree construction
Report Generation
Deepseek R1
Comprehensive risk reports and sentiment analysis
Interactive Query
LLaMA 3
Real-time query processing and exploration
Central Coordination
LLaMA 3
Workflow management and task coordination
Click on an agent to see detailed information
| Agent | Assigned LLM | Rationale |
|---|---|---|
| Agent 1 (OCR Processing) | Deepseek R1 | Superior vision-language capabilities |
| Agent 2 (Data Filling) | FinLLaMA | Financial domain expertise |
| Agent 3 (News Collection) | LLaMA 3 | General-purpose web processing |
| Agent 4 (Report Generation) | Deepseek R1 | Comprehensive synthesis abilities |
| Agent 5 (Interactive Query) | LLaMA 3 | Conversational capabilities |
| Agent Orchestrator | LLaMA 3 | Task coordination and planning |
Experience ARO's capabilities with our interactive demo using real construction company data
Hong Kong | 16+ years | Construction & Levelling
Risk Score: 0.665
Hong Kong | 3 years | Small Construction
Risk Score: 0.825
Hong Kong | 25+ years | Major Contractor
Risk Score: 0.285
Select a company and click "Start Risk Assessment" to see the demo
Real-world validation demonstrating ARO's effectiveness in construction supply chain financing
Hong Kong Construction Company
Processing Time
4.2 min
96.2% faster
OCR Accuracy
98.7%
Industry leading
Comprehensive System Evaluation
94.3%
Classification Accuracy
96.1%
Expert Agreement
99.2%
System Availability
3.8 min
Avg Processing Time
Comprehensive documentation, research papers, and implementation guides
Complete 62-page research paper with mathematical formalization, case studies, and performance evaluation.
• Springer LNCS format
• Comprehensive evaluation
• Source code included
Complete REST API documentation with examples, endpoints, and integration guides.
• OpenAPI 3.0 specification
• Interactive examples
• SDK libraries
Step-by-step guide for implementing and deploying ARO in your organization.
• Deployment instructions
• Configuration examples
• Best practices
Detailed mathematical formalization of agent functions, optimization, and convergence analysis.
• Formal definitions
• Convergence proofs
• Optimization theory
Complete source code implementation with agent classes, orchestrator, and integration examples.
• Python implementation
• Docker containers
• Unit tests included
Comprehensive performance benchmarks, scalability tests, and comparison with existing solutions.
• Performance metrics
• Scalability analysis
• Comparative studies