Supermarket Sales Analysis Dataset
Retail & Consumer Behavior
Tags and Keywords

Free
About
Explore historical sales data from three supermarket branches over three months. Analyze customer behavior, product preferences, and payment methods for business insights.
Features
- Invoice ID: Unique identifier for each sales transaction.
- Branch: Three supermarket branches labeled as A, B, and C.
- City: Location of the branches.
- Customer Type: Classification of customers as Members or Non-Members.
- Gender: Gender of the customer.
- Product Line: Categories of products sold, including:
- Electronic accessories
- Fashion accessories
- Food and beverages
- Health and beauty
- Home and lifestyle
- Sports and travel
- Unit Price: Price per item.
- Quantity: Number of items purchased.
- Tax: 5% tax added to each transaction.
- Total: Total price, including tax.
- Payment: Mode of payment (Cash, Credit Card, or Ewallet).
- Rating: Customer feedback on a scale of 1 to 10.
Usage
- Predict sales trends and customer behavior.
- Analyze product category performance and branch-wise sales.
License
Open access for non-commercial use.
Who can use it
Retail analysts, data scientists, and business strategists.
Listing Stats
VIEWS
1.2K
DELIVERY
INSTANT DOWNLOAD
LISTED
10/12/2024
UPDATED
25/06/2026
REGION
GLOBAL
TRUST
5 / 5
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Free
Download Dataset in CSV Format
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