Abstract
"IoT sensor data simulating a blockchain-enabled supply chain, tracking temperature, vibration, and location for logistics optimization."
Description
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
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on ExternalCite This Dataset
External (2026). Supply Chain IoT & Digital Twin Dataset. [Dataset]. External. https://www.kaggle.com/datasets/ziya07/bdt-mba-supply-chain-dataset
Source: External (2026)
Indexed by IoTDataset.com on Jan 06, 2026
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