zepto-sql-analysis

End-to-end SQL Server project analyzing Zepto e-commerce data for pricing, inventory, and revenue insights.

Zepto E-Commerce SQL Data Analysis Project

Project Overview

This project analyzes Zepto e-commerce product data using SQL Server. The goal is to clean raw data, perform exploratory analysis, and extract business insights useful for inventory and revenue decisions.

Tools Used

• SQL Server
• SSMS
• CSV Data Import
• Git & GitHub

Dataset

• Product details including MRP, discounts, availability, quantity, and category.

Data Cleaning Steps

• Removed products with invalid pricing (MRP = 0)
• Converted prices from paise to rupees
• Checked for null values
• Verified duplicate product names

Key Business Insights

• Identified top 10 highest discount products
• Analyzed out-of-stock high-value products
• Calculated category-wise revenue
• Identified revenue-driving categories

Business Value

• Helps track stock movement
• Improves discount strategy
• Identifies revenue loss due to stockouts
• Supports inventory planning decisions

Real-World Use Case

Daily SQL analysis tasks performed by data analysts in e-commerce companies.

Author

GOWTHAM RC