This platform provides a suite of tools for managing supply chain logistics, including a Digital Twin simulation, Incoterms navigator, and AI-driven logistics optimization.
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Digital Twin (3D Simulation):
- A real-time 3D representation of a warehouse environment.
- Visualizes Automated Guided Vehicles (AGVs) and cargo movement.
- Built with React Three Fiber and Three.js.
- Supports AR/VR modes.
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Incoterms Navigator:
- Comprehensive guide to Incoterms 2020 (EXW, FOB, CIF, DDP, etc.).
- Clarifies responsibilities and risks for buyers and sellers.
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AI Logistics Engine:
- Delay Predictor: Uses heuristics to predict shipment delays based on distance and weather conditions.
- Inventory Risk Analysis: Analyzes stock levels against demand forecasts to identify stockout risks.
- Route Optimization: Simulates optimal routing for logistics efficiency.
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Blockchain Audit Trail:
- Secures logistics events on a decentralized ledger using Ethers.js.
- Provides a transparent and immutable history of supply chain operations.
Located in supply_chain_platform/supply_chain_main.py.
Provides a command-line interface for:
- Incoterms lookup.
- AI Delay prediction.
- Inventory risk assessment.
Usage:
python3 supply_chain_platform/supply_chain_main.pyIntegrated into the main application dashboard under the "Supply Chain" tab. Includes:
- Digital Twin View: Interactive 3D warehouse.
- Incoterms Navigator: Interactive dropdown guide.
- Logistics AI Dashboard: Real-time AI analysis and Blockchain logging.
supply_chain_platform/
├── supply_chain_main.py # Main CLI application
├── ai_logistics_engine.py # Mock AI logic for logistics
├── incoterms_data.json # Database of trade terms
└── README.md # This documentation
src/
└── SupplyChainPlatform.jsx # React frontend component
- Integration with real-time IoT sensors for live Digital Twin updates.
- Advanced NLP for automated Incoterm selection from contracts.
- Real blockchain integration with Ethereum/Polygon testnets.