Synthetic Supply Chain Logistics Data for Nigerian Retail and E-Commerce

Synthetic data for 400,000 supply chain records, parameterized from published Sub-Saharan Africa literature rather than real observations. The dataset was generated by electricsheepafrica on Hugging Face in October 2025 and last updated in April 2026. Its 12 columns likely contain product and inventory information for the retail and e-commerce industry in Nigeria.

Use Cases

• Testing inventory management algorithms based on synthetic product and inventory data.
• Simulating logistics network flows for Nigerian retail scenarios described in the dataset.
• Benchmarking predictive models for supply chain disruptions using parameterized features.
• Educational demonstrations of supply chain analytics concepts for the e-commerce sector.

Strengths

• Contains 400,000 rows of synthetic data, providing substantial volume for model testing.
• Explicitly documents its synthetic nature and source from published SSA literature.
• Covers a specific industry (retail & e-commerce) and country (Nigeria) for focused analysis.

Limitations

• Dataset is synthetic and not suitable for empirical analysis or real-world policy inference.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Parameterized generation from published Sub-Saharan Africa literature.

Freshness

Last updated 2026-04-14 22:19:19; freshness should be verified.

Geography

Nigeria