AddressID , UserID (FK), Street , City , ZipCode , Type (Billing/Shipping). 2. Inventory & Catalog Categories: CategoryID , Name , Description .

Note: PriceAtPurchase is vital to preserve historical data if the product price changes later. IV. Design Considerations

💡 A successful database design separates "current state" (Inventory) from "historical record" (Order Items) to ensure financial accuracy. If you'd like to dive deeper, let me know: Do you need the SQL Create Table scripts?

This paper outlines the architectural framework and database schema for a modern Online Shopping System. It focuses on scalability, data integrity, and the relational mapping required to handle complex e-commerce workflows. I. Executive Summary

Blogs: Online Shopping Systemвђ“database Design ~ Bhupal

AddressID , UserID (FK), Street , City , ZipCode , Type (Billing/Shipping). 2. Inventory & Catalog Categories: CategoryID , Name , Description .

Note: PriceAtPurchase is vital to preserve historical data if the product price changes later. IV. Design Considerations AddressID , UserID (FK), Street , City ,

💡 A successful database design separates "current state" (Inventory) from "historical record" (Order Items) to ensure financial accuracy. If you'd like to dive deeper, let me know: Do you need the SQL Create Table scripts? AddressID , UserID (FK), Street , City ,

This paper outlines the architectural framework and database schema for a modern Online Shopping System. It focuses on scalability, data integrity, and the relational mapping required to handle complex e-commerce workflows. I. Executive Summary AddressID , UserID (FK), Street , City ,