Design and Implementation of Smart Mart: An AI-Powered E-Commerce Web Application

Abstract

The rapid expansion of digital commerce and the growing demand for scalable online retail solutions have increased the need for intelligent e-commerce platforms. Traditional systems lack built-in AI assistance, dual payment gateway support, and comprehensive administrative dashboards, making it difficult for small and medium enterprises to compete effectively in the digital marketplace. This paper presents the design and implementation of SmartMart, a full-stack enterprise-grade e-commerce web application providing a secure, scalable, and feature-rich online shopping experience for customers, administrators, and delivery personnel. The system integrates Angular 10, Spring Boot 3, Java 17, and PostgreSQL, offering AI-powered product recommendations through a Google Generative AI chatbot, multi-gateway payment support via PayPal and Razorpay, JWT-based authentication with Spring Security, real-time order tracking, PDF invoice generation, and centralized admin analytics. The proposed system demonstrates significant improvements in customer experience, operational efficiency, and security over traditional e-commerce platforms.