Supply Chain IoT & Digital Twin Dataset
Catalog Summary
"IoT sensor data simulating a blockchain-enabled supply chain, tracking temperature, vibration, and location for logistics optimization."
Catalog Notes
This dataset simulates a Smart Logistics network. It integrates realistic data from IoT sensors monitoring goods in transit.
Tracked Metrics:
- Environmental Conditions: Temperature and humidity limits for sensitive cargo.
- Physical Shock: Vibration levels indicating rough handling.
- Delivery Status: Real-time tracking of shipment progress.
- Supply Chain Efficiency: Calculated KPIs for logistics performance.
Use Cases:
Optimizing delivery routes and ensuring quality control for sensitive goods like pharmaceuticals or food.
Source: Kaggle (B.D.T Project) - Open Data.
View Data Structure
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Preview on ExternalCite This Catalog Record
IoTDataset.com (2026). Supply Chain IoT & Digital Twin Dataset — catalog record. [Dataset]. IoTDataset.com. https://iotdataset.com/data/supply-chain-iot-digital-twin
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Catalog publisher: IoTDataset.com (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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