Market Sales Data

The Supermarket Sales Dataset provides a comprehensive overview of supermarket transactions, tracking details such as product categories, unit prices, quantities sold, and gross income. It also includes customer demographics, such as gender, payment method, and membership type. This dataset is ideal for analyzing sales trends, customer behavior, and revenue performance, offering insights to optimize promotions and product strategies.

Key fields include:

Invoice ID: A unique identifier for each transaction.
Branch: The specific supermarket branch (e.g., A, B, C).
City: The city where the branch is located.
Customer Type: Indicates if the customer is a "Member" or "Normal."
Gender: Customer's gender for demographic insights.
Product Line: Product category (e.g., Groceries, Clothing).
Unit Price: Price per product unit.
Quantity: Units bought in a transaction.
Tax (5%): Tax amount (5% of the total before tax).
Total: Total paid, including tax.
Date/Time: Date and time of purchase, helpful for identifying peak hours.
Payment: Payment method (e.g., Cash, Credit Card).
COGS (Cost of Goods Sold): Production cost of the goods sold.
Gross Margin Percentage: Percentage difference between sales and COGS.
Gross Income: Income after deducting COGS.
Rating: Customer satisfaction rating (typically 1-5 scale).
This dataset is a powerful tool for extracting insights into purchasing trends and customer preferences, aiding in the development of targeted strategies for revenue growth and customer satisfaction.