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SQL-based e-commerce data analysis using MySQL to uncover customer behavior, sales performance, product trends, and business insights.

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🛒 E-Commerce SQL Analysis

📌 Project Overview

This project analyzes an e-commerce dataset using SQL to uncover customer behavior, order trends, product performance, and revenue insights.

The project was created as a practical Data Analytics project to demonstrate SQL skills using MySQL.


🎯 Objectives

The main objectives of this project are:

  • Analyze customer distribution
  • Analyze order status and payment methods
  • Calculate total and completed revenue
  • Calculate Average Order Value (AOV)
  • Identify high-value customers
  • Identify best-selling products
  • Analyze category-wise revenue
  • Analyze monthly revenue trends
  • Identify repeat customers
  • Use advanced SQL techniques for business analysis

🛠️ Tools & Technologies

  • MySQL
  • MySQL Workbench
  • SQL

🗄️ Database Structure

The database contains five main tables:

Customers
    │
    └── Orders
            │
            └── Order Items
                    │
                    └── Products
                            └── Categories

📸 SQL Analysis Results

🏆 Top 3 Customers by Spending

Top 3 Customers


💰 Revenue by Category

Revenue by Category


📅 Monthly Revenue

Monthly Revenue


🛍️ Product Performance

Product Performance


📊 Revenue & Average Order Value

Revenue and AOV

About

SQL-based e-commerce data analysis using MySQL to uncover customer behavior, sales performance, product trends, and business insights.

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