Retail Sales Transactions Across Multiple Channels, 2019–2025

10,000+ retail transactions from 2019 to 2025. The dataset includes multi-channel sales and customer information, and it was sourced from Kaggle.

Use Cases

• Forecast sales trends based on the multi-channel transaction data.
• Analyze customer purchasing patterns across different sales channels.
• Build models for customer segmentation based on transaction history.

Strengths

• 10,000+ transaction records provide a substantial sample size.
• Covers a six-year time range from 2019 to 2025.

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

Unknown

Time Range

2019–2025

Freshness

Data covers up to 2025, but last update date is unknown.

Geography

Unknown