Skip to content

This Excel project comprehensively analyzes a retail store's performance using various datasets. The key aspects covered include monthly sales and order counts, gender-wise sales distribution, order status categorization, top-performing states, age and gender demographics, and sales channels.

Notifications You must be signed in to change notification settings

ThisIsTPM/Retail-Store-Data-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Retail Store Analysis

The uploaded file contains data from a Retail Store, with various sheets providing insights into the store's performance. Here's an overview of each sheet:

  1. Sales vs Orders: This sheet compares the total sales amount and the count of orders for each month, providing a monthly breakdown of the store's performance.

  2. Retail Store Annual Report 2023: This sheet appears to be intended for an annual report but currently does not contain data.

  3. Men vs Women: This sheet compares sales between male and female customers, with a breakdown of the total sales amount by gender.

  4. Order Status: This sheet categorizes orders by their status (e.g., Cancelled, Delivered, Refunded) and counts the number of orders in each category.

  5. Top 5 States: This sheet lists the top five states by sales amount, providing insights into geographic performance.

  6. Age and Gender: This sheet analyzes the distribution of orders by age group and gender, showing proportions for categories such as Adult and Senior.

  7. Channels: This sheet details the distribution of orders across different sales channels like Ajio, Amazon, and Flipkart.

  8. Retail Store: This sheet contains detailed information on individual orders, including order ID, customer ID, gender, age, status, sales channel, product details, and geographic information.

The data provided offers a comprehensive view of the store's operations, customer demographics, sales channels, and geographic reach. This analysis can be used to identify trends, optimize marketing strategies, and improve overall business performance.

Annual Report

About

This Excel project comprehensively analyzes a retail store's performance using various datasets. The key aspects covered include monthly sales and order counts, gender-wise sales distribution, order status categorization, top-performing states, age and gender demographics, and sales channels.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published