Synthetic Indonesian Bakery Point of Sale Transaction Data

Synthetic point of sale transaction data for Indonesian bakery sales analysis. The dataset was sourced from Kaggle, but the author, organization, and last update date are unknown. The number of rows, columns, and file formats are unspecified.

Use Cases

• Analyze sales trends and patterns based on synthetic transaction data.
• Train machine learning models for sales forecasting based on the described transaction data.
• Test data processing and visualization pipelines for retail point-of-sale systems.
• Benchmark anomaly detection algorithms on synthetic retail transaction logs.

Strengths

• Data is explicitly described as synthetic, which may facilitate use without privacy concerns.
• The dataset has a clear, specific domain focus on Indonesian bakery sales.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Synthetic generation, as stated in the description.

Geography

Indonesia