---
license: mit
task_categories:
- tabular-classification
- time-series-forecasting
- anomaly-detection
language:
- en
tags:
- artificial-intelligence
- industrial-ai
- logistics-optimization
- supply-chain-analytics
- predictive-maintenance
- smart-factory
- industrial-iot
- fleet-management
size_categories:
- n<1K
---

# Industrial & Logistics AI Research Dataset Collection (2024 Edition)

## Overview
This repository provides a structured collection of industrial and logistics datasets
designed for artificial intelligence training, operational simulation,
and supply chain optimization research.

The datasets represent realistic industrial environments including
manufacturing production lines, warehouse inventory systems,
fleet management operations, predictive maintenance logs,
smart factory automation metrics, port logistics throughput,
and global trade analytics.

All datasets are structured in CSV format and suitable for
machine learning, forecasting models, anomaly detection systems,
and industrial AI benchmarking experiments.

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## Dataset Domains

The collection includes:

- Manufacturing Production Metrics
- Warehouse Inventory Tracking
- Fleet & Transportation Management
- Supply Chain Delivery Performance
- Predictive Maintenance Logs
- Port & Maritime Logistics Throughput
- Last-Mile Delivery Analytics
- Demand Forecasting Data
- Industrial IoT Sensor Monitoring
- Transportation Cost Optimization
- Export & Import Trade Statistics
- Smart Factory Automation Performance

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## Technical Characteristics

- Structured tabular datasets
- Time-series compatible format
- Multi-domain industrial coverage
- Suitable for supervised & unsupervised learning
- Supports predictive analytics & optimization models

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## Intended Applications

This dataset collection can be used for:

- AI model training for industrial systems
- Logistics optimization research
- Supply chain risk analysis
- Predictive maintenance modeling
- Smart factory efficiency benchmarking
- Transportation cost modeling
- Industrial anomaly detection

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## Format

All datasets are provided in CSV format.
Each file contains clearly defined headers for structured data processing.

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## License

MIT License – Free for research and educational use.