electricsheepafrica/nigerian_transport_and_logistics_warehouse_inventory_dispatch

# Nigeria Transport & Logistics – Warehouse Inventory & Dispatch

Warehouse inbound/outbound/adjustment operations with stock levels by SKU.

- **[category]** Freight & Cargo
- **[rows]** ~160,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | timestamp | object | | warehouse_id | object | | sku | object | | operation | object | | quantity | int64 | | stock_level | int64 |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_warehouse_inventory_dispatch/nigerian_transport_and_logistics_warehouse_inventory_dispatch.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_warehouse_inventory_dispatch')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation