Opendatabay APP

Supermarket Sales Analysis

Retail & Consumer Behavior

Related Searches

Retail Analytics

Sales Prediction

Customer Behavior

Branch Performance

E-commerce

Data Visualization

Machine Learning

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Supermarket Sales Analysis Dataset on Opendatabay data marketplace

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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

14

DOWNLOADS

7

LISTED

10/12/2024

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1

Free