SQL Project for Data Analytics
📦 Logistics and Supply Chain Management System (SQL Project) 📌 Overview
This project is a SQL-based database system designed to manage logistics and supply chain operations, including suppliers, products, warehouses, inventory, and customer orders. It simulates real-world business scenarios and helps in analyzing operational data.
🛠️ Features Designed relational database with multiple interconnected tables Managed entities like Suppliers, Products, Warehouses, Inventory, and Orders Implemented data integrity using primary keys, foreign keys, and constraints Performed CRUD operations (Create, Read, Update, Delete) Applied data validation using NOT NULL and CHECK constraints
📊 SQL Concepts Used Joins (INNER JOIN, LEFT JOIN) Subqueries Aggregate functions (SUM, COUNT) GROUP BY & HAVING ORDER BY & LIMIT Window functions (ROW_NUMBER)
📈 Key Insights Generated Total orders per product Warehouse-wise stock analysis Supplier-wise product supply Inventory tracking and stock availability
🧰 Tools Used MySQL
📁 Project Structure Data01.sql → Contains all DDL, DML, and query operations 🚀 Conclusion
This project demonstrates strong understanding of SQL, database design, and data analysis techniques in a logistics domain.