Description

Explore the dynamics of supermarket sales with the Supermarket Sales Dataset. This dataset contains transactional records capturing details of products sold, quantities purchased, prices, and customer information across various countries. Dive into the world of retail analytics and uncover insights into transaction patterns and customer behaviour.

Features

Invoice: This feature represents a unique identifier for each transaction or invoice in the dataset.

StockCode: This feature represents a unique identifier for each product or item sold in the transaction.

Description: This feature provides a textual description of the product or item sold in the transaction.

Quantity: This feature indicates the quantity of the product or item sold in the transaction.

InvoiceDate: This feature represents the date and time when the transaction or invoice was issued.

Price: This feature represents the price of each unit of the product or item sold in the transaction.

Customer ID: This feature represents a unique identifier for each customer involved in the transaction.

Country: This feature represents the country where the transaction took place or where the customer is located.

Usage:

• Analyze sales trends: Explore the sales volume and revenue generated over time, identify popular products, and uncover seasonal variations in purchasing behavior.
• Customer segmentation: Segment customers based on their purchasing patterns, demographics, and geographic locations to target marketing campaigns more effectively.
• Market basket analysis: Understand product associations and recommend complementary products to enhance cross-selling opportunities.
• Predictive modeling: Develop predictive models to forecast future sales, identify potential high-value customers, and optimize inventory management.