Design and Implementation of Smart Mart: An AI-Powered E-Commerce Web Application ↔ Design and Implementation of Home Deal: A Web-Based House Rental Management System

Design and Implementation of Smart Mart: An AI-Powered E-Commerce Web Application Mr. Aswini Kumar Raut Roshan Narayan Naik Student, Dept. of CSE, GIFT Autonomous GIFT Autonomous, Bhubaneswar Mr. Soumya Ranjan Mr .Priyanshu Shekhar Parida Student, Dept. of CSE, GIFT Autonomous GIFT Autonomous, Bhubaneswar Asst. Prof. Mohapatra Girashree Sahu Er. Jagannath Ray Assistant Professor, Dept. of CSE, GIFT Autonomous GIFT Autonomous, Bhubaneswar Abstract— The rapid expansion growth of urban populations and rising housing demand have made traditional house rental processes increasingly inefficient, time-consuming, and opaque. Tenants and property owners face significant challenges in finding trustworthy listings, verifying property details, and communicating securely without centralized 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. support. This paper presents the design and implementation of SmartMart, Home Deal, a comprehensive web-based house rental management system that streamlines property searching, listing, and management through a modern full-stack enterprise-grade e-commerce web application providing a secure, scalable, and feature-rich online shopping experience for customers, administrators, and delivery personnel. architecture. The system integrates Angular 10, Spring Boot 3, Java 17, provides advanced property search and PostgreSQL, offering AI-powered product recommendations through filtering, free property listings, a Google Generative AI chatbot, multi-gateway payment support via PayPal unique coin-based contact mechanism to prevent spam, and Razorpay, a rating and review system for enhanced trust. Built using React.js, Next.js, Node.js, Express.js, and MongoDB, with JWT-based authentication with Spring Security, real-time order tracking, PDF invoice generation, and centralized admin analytics. RESTful API communication, The proposed system demonstrates significant improvements in customer experience, significantly improves transparency, accessibility, and operational efficiency, efficiency for both property owners and security over tenants compared to traditional e-commerce platforms. rental management approaches.

Keywords— E-Commerce, Angular, Spring Boot, PostgreSQL, AI Chatbot, House Rental, Property Management, React.js, Node.js, MongoDB, JWT, Spring Security, PayPal, Razorpay, REST API, Role-Based Coin-Based Access, RoleBased Access Control Control, Next.js I. INTRODUCTION The global e-commerce industry has witnessed exponential growth driven by increased internet penetration, mobile device adoption, rapid urbanization and growing consumer preference demand for online shopping. Small and medium-sized enterprises (SMEs) rental properties have highlighted critical inefficiencies in traditional house rental processes. Tenants face significant challenges in establishing effective locating suitable properties, verifying listing authenticity, and communicating securely with property owners without centralized digital storefronts due to the lack of technical expertise, complex payment integrations, platforms. Property owners similarly struggle with managing listings, screening tenants, and limited access to intelligent customer service tools tracking rental inquiries effectively [1].

Traditional e-commerce Existing property rental platforms often lack comprehensive management features, transparent communication channels, and anti-spam mechanisms. Most systems provide limited customization customization, and require expensive subscriptions for advanced features. Most systems lack built-in artificial intelligence capabilities for customer assistance their listing verification and product recommendations, forcing businesses to rely on costly third-party plugin integrations contact-sharing features are either absent or insufficiently secured, increasing the risk of fraudulent listings and unsolicited contact [2].

The emergence of modern full-stack web frameworks such as Angular React.js, Next.js, and Spring Boot, Node.js, combined with AI technologies NoSQL databases and secure payment authentication APIs, has opened new possibilities for developing enterprise-grade e-commerce scalable and feature-rich property management platforms. These technologies enable the creation of scalable, responsive, secure, and user-friendly online retail userfriendly rental systems without excessive with efficient development overhead [3].

This paper presents SmartMart, an AI-powered e-commerce web application addressing Home Deal, a web-based house rental management system that addresses the limitations of existing platforms. SmartMart Home Deal offers end-to-end online shopping property management functionality including product catalog management, shopping cart, wishlist, order processing, invoice generation, advanced property search and filtering, free property listings, coin-based contact mechanism, rating and review system, real-time order tracking, AI chatbot assistance, notifications, and multi-gateway payment support. An intelligent chatbot powered by Google Generative AI assists users with product queries a comprehensive admin dashboard for platform governance and recommendations user management [4].

The system is built using Angular 10 React.js and TypeScript Next.js on the frontend, Spring Boot 3 with Java 17 Node.js and Express.js on the backend, and PostgreSQL MongoDB as the primary NoSQL database. Security is enforced through Spring Security and JWT-based authentication with BCrypt password encryption. JWTbased authentication. The admin dashboard provides centralized product, order, user, user management, property oversight, and platform analytics management [5].

The SmartMart Home Deal platform also addresses the operational challenges faced by platform administrators. Many existing e-commerce systems rental platforms provide limited administrative visibility, forcing store managers to rely on external tools for analytics, inventory tracking, user management, listing verification, and customer management. SmartMart activity monitoring. Home Deal consolidates these functions within a single comprehensive admin dashboard equipped with real-time analytics, dashboard, making store management platform governance significantly more efficient and data-driven [6].

Furthermore, the increasing importance of mobile commerce mobile-first access requires e-commerce property rental platforms to deliver consistent and responsive user experiences across all device types and screen sizes. SmartMart's Angular Material-based Home Deal's Tailwind CSS and React.js-based frontend ensures crossdevice full cross-device compatibility, providing customers users with a seamless shopping property browsing experience whether they are accessing the platform from a desktop, tablet, or mobile device.

The remainder of this paper is organized as follows: Section II reviews existing e-commerce house rental platform approaches and their limitations. Section III describes the proposed system architecture. Section IV presents the methodology adopted for system development. Section V covers system design and implementation details. Section VI discusses results and findings. Section VII outlines planned future enhancements. Section VIII concludes the paper and highlights future research directions.

II. EXISTING APPROACHES The growing demand for digital retail property management has resulted in the development of numerous e-commerce platform solutions online rental platforms ranging from open-source frameworks classified listing websites to fully managed SaaS platforms property management systems offering varying levels of functionality, customization, and scalability [6].

The methodology also incorporates comprehensive security mechanisms. Role-Based Access Control (RBAC) restricts API endpoints based on user roles: Customer, Admin, and Delivery Personnel. CSRF protection and secure HTTPS communication prevent unauthorized access and malicious request execution [19].

Task Notification management and delivery tracking are is integrated into the workflow to improve operational coordination among team members. user engagement and platform responsiveness. Once an order a property listing is confirmed and payment is verified, administrators can assign delivery tasks published or updated, the system dispatches real-time notifications to personnel through users who have expressed interest in similar properties. the dashboard. The delivery tracking notification module enables real-time updates of shipment status, allowing customers to monitor their orders from dispatch to final delivery. timely alerts about property availability, coin balance updates, and platform announcements. This centralized notification workflow significantly reduces manual coordination overhead information lag and improves customer user satisfaction. The proposed methodology also supports future scalability and extensibility. The modular system design enables integration of additional functionalities such as machine learning recommendation engines, cloud deployment, real-time inventory synchronization, and multi-vendor support in future iterations of the platform without requiring significant architectural redesign.

Popular property platforms such as Shopify, WooCommerce, Magento, 99acres, MagicBricks, Housing.com, and BigCommerce NoBroker provide robust product management extensive property listings and payment integration. search features. However, these platforms typically require paid subscriptions for advanced features, direct owner contact, and their customization is often restricted by predefined listing templates and plugin ecosystems limited backend access for independent deployment [7].

Open-source property management solutions like WooCommerce and Magento offer greater flexibility but demand significant technical expertise for setup and maintenance. This makes them impractical for small property management businesses without dedicated development teams, particularly SMEs and individual landlords entering the digital rental marketplace for the first time [8].

A critical limitation of most existing rental platforms is the absence of integrated intelligent customer assistance. AI-powered product recommendations effective anti-spam contact mechanisms. Direct contact details are often freely visible, leading to unsolicited communications and support chatbots are not available as builtin features, requiring costly third-party integrations fraudulent inquiries that increase both development complexity reduce platform trust and operating expenses user engagement [9].

A critical further limitation of most existing rental platforms is the absence of integrated intelligent customer assistance. AI-powered product recommendations reliable rating and support chatbots are not available as builtin features, forcing businesses review systems for properties and property owners. Without structured feedback mechanisms, tenants have no way to rely on costly third-party plugin integrations that can be difficult evaluate property quality or owner reliability before committing to configure and maintain over time a rental inquiry, increasing the risk of poor rental experiences [9].

Furthermore, existing platforms often impose rigid data models that make it difficult to customize product property attributes, pricing structures, filtering criteria, or order notification workflows. Businesses Platform operators with unique operational requirements are frequently forced to adopt workarounds that increase technical debt and reduce long-term system maintainability. Traditional rental platforms often provide limited customization and require expensive subscriptions for advanced features. Most systems lack built-in spam prevention mechanisms and verified contact-sharing features, forcing platform operators to rely on costly third-party integrations [2]. The emergence of modern web development frameworks such as React.js, Next.js, Node.js, and MongoDB, combined with JWT authentication and REST API design, has opened new possibilities for developing scalable and feature-rich property rental platforms. These technologies enable the creation of responsive, secure, and user-friendly systems without excessive development overhead [3].

This paper presents SmartMart, an AI-powered e-commerce web application addressing Home Deal, a web-based house rental management system that addresses the limitations of existing rental platforms. SmartMart Home Deal offers end-to-end online shopping property management functionality including product catalog management, shopping cart, wishlist, order processing, invoice generation, real-time order tracking, AI chatbot assistance, advanced property listing and multi-gateway payment support. An intelligent chatbot powered by Google Generative AI assists users with product queries search, coin-based contact access, rating and recommendations review features, realtime notifications, and centralized admin dashboard management for complete platform governance [4].

The SmartMart Home Deal platform also addresses the operational challenges faced by platform administrators. Many existing e-commerce rental systems provide limited administrative visibility, forcing store managers to rely on external tools for analytics, inventory tracking, user tracking and customer listing management. SmartMart Home Deal consolidates these functions within a single comprehensive admin dashboard equipped with real-time analytics, dashboard, making store management platform governance significantly more efficient and data-driven [6].

Payment gateway integration Furthermore, the increasing importance of mobile-first access demands that rental platforms deliver consistent and responsive experiences across all devices. Home Deal's Tailwind CSS and React.js frontend ensures full cross-device compatibility, providing users with a seamless property browsing experience whether accessing from a desktop, tablet, or mobile device. Property contact access management also remains a challenge. While platforms support popular gateways, simultaneously integrating multiple payment options often offer some contact visibility controls, implementing a fair, gamified coin-based mechanism for contact access requires additional configuration, increasing development overhead design consideration and creating single points of failure creates unique challenges in the checkout process balancing user engagement with spam prevention [10].

The scalability of existing e-commerce solutions rental platforms is also a concern for growing businesses. platforms. Many entry-level platforms systems cannot handle high-volume traffic high volumes of simultaneous property searches and listing updates efficiently, leading to performance degradation during peak periods such as seasonal sales events. rental seasons. This necessitates expensive infrastructure upgrades or platform migrations that disrupt business continuity.

The analysis of existing approaches reveals the following key limitations in current e-commerce house rental management systems: a. Heavy reliance on third-party plugins for AI features b. Lack of dual or multi-gateway payment support c. Limited integrated role-based access governance d. Absence of real-time order tracking in entry-level platforms e. Poor centralized analytics and admin visibility f. High cost barriers for advanced feature access These limitations highlight the need for a centralized, scalable, and intelligent e-commerce house rental management platform that integrates AI assistance, multi-gateway payments, coinbased contact control, comprehensive admin analytics, property search, rating and review mechanisms, and secure role-based access control into a single unified system without excessive subscription costs.

Modern web development technologies have made it increasingly feasible to build such platforms without relying on proprietary SaaS solutions. Frameworks such as Angular, React.js, Spring Next.js, Boot, Node.js, and PostgreSQL, MongoDB, combined with open JWT AI authentication APIs and and cloud fintech deployment payment capabilities, SDKs, provide provide the the necessary necessary building building blocks blocks for for a a comprehensive comprehensive and and cost-effective cost-effective rental e-commerce management platform that can be deployed and scaled independently by development teams.

Role-Based Access Basic Multi-role RBAC 169 Authentication Session-based JWT + Spring Security AI Recommendations No Rating & Review System Absent Supported III. PROPOSED SYSTEM ARCHITECTURE SmartMart Home Deal is designed as a centralized and scalable e-commerce house rental management platform integrating AI-powered customer assistance, multigateway payment processing, advanced property search, coinbased contact access, rating and review mechanisms, real-time order tracking, notifications, and comprehensive administrative management into a unified system. The architecture follows a modular layered design ensuring maintainability, security, and efficient data processing [11].

The system is developed using modern full-stack technologies. The frontend provides an interactive and responsive user interface, the backend handles business logic and API processing, and the database layer securely stores all application property and user data. The proposed architecture follows a multi-layered three-tier client-server model consisting of the following major components:

The frontend layer is implemented using Angular 10 React.js and TypeScript Next.js with Angular Material Tailwind CSS for responsive UI components and RxJS for reactive programming. Angular design. React Router manages navigation between application pages with route authentication guards enforcing authentication login requirements for protected features [12].

Advanced reporting and analytics modules represent another key area for future enhancement. Integration of business intelligence tools and predictive analytics engines would enable store platform administrators to forecast rental demand, identify seasonal sales property search patterns, and make proactive inventory platform expansion decisions. These capabilities would transform SmartMart Home Deal from a transactional listing platform into a strategic business management rental market intelligence tool.

The implementation methodology adopted in this system significantly improves the e-commerce rental platform setup process, reduces manual configuration overhead, and enhances operational visibility compared to traditional platform solutions. The integration of AI-driven assistance, coin-based contact access, flexible payment property search options, centralized management tools, and comprehensive security mechanisms demonstrates the practical applicability of modern web technologies in delivering enterprise-grade e-commerce rental management functionality.

The experimental evaluation confirmed that SmartMart Home Deal successfully processes complete e-commerce rental management workflows including registration, product property browsing, cart management, secure payment, order tracking, search and invoice generation. filtering, coin-based contact access, review submission, and notification delivery. The platform shows significant improvements in customer user experience, administrative efficiency, and operational security compared to traditional ecommerce rental management solutions evaluated during the literature review phase.

Although the current implementation has certain limitations including the absence of a dedicated ML recommendation engine and real-time warehouse inventory synchronization, tenant-owner chat, the proposed system provides a strong and extensible foundation for intelligent e-commerce rental management. The modular architecture ensures that these capabilities can be integrated in future releases without requiring fundamental changes to the existing system design. Future enhancements including machine learning-based property recommendations, cloud-native deployment, PWA mobile capabilities, multi-vendor marketplace real-time chat support, and DevSecOps payment gateway integration will further strengthen the platform's enterprise market applicability and expand its potential user base. The long-term vision for SmartMart Home Deal is to evolve into a fully autonomous, AIdriven e-commerce rental management platform capable of supporting businesses of all sizes property seekers and owners across India in the increasingly competitive digital rental marketplace.

Progressive Web App (PWA) capabilities would enable SmartMart Home Deal to deliver a native app-like experience on mobile devices, including offline property browsing, push notifications for order updates, new listings, and faster page load times. This enhancement would significantly expand the platform's accessibility and market reach among mobile-first consumers users across different regions cities and device categories. regions.

The backend is implemented using Spring Boot 3 Node.js and Express.js REST APIs with Java 17, providing robust request processing, authentication, business logic execution, and database communication. RESTful APIs enable secure JSON-based communication between frontend and backend modules ensuring smooth real-time dashboard data updates [13].

Figure-1: Composable E-Commerce Database Design of Home Deal System Architecture of SmartMart The database layer uses PostgreSQL with Hibernate ORM MongoDB for structured flexible NoSQL data storage and document-based relationship management. Spring Security with JWT token generation and BCrypt password hashing ensures that user credentials are stored and transmitted securely. Role-based access control distinguishes between customer, admin, general users, property agents, and delivery personnel administrator roles [14].

The AI coin-based access layer integrates Google Generative AI to power manages virtual coin balances for all users, deducting coins when contact details of property owners are accessed. the SmartMart intelligent chatbot, which responds to product queries notification layer provides real-time alerts about property availability and provides recommendations. The payment layer integrates both PayPal platform activity, improving user engagement and Razorpay APIs, providing users with flexible multigateway payment options and server-side transaction verification platform responsiveness [15].

A significant feature of the proposed architecture is the implementation of a comprehensive admin command center dashboard for store-level platform-level governance and centralized monitoring. The admin module enables global oversight of products, inventory, customer orders, delivery personnel, property listings, user accounts, coin transactions, and operational platform analytics through advanced dashboard panels and centralized controls. This hierarchical administrative structure improves scalability and supports centralized governance of all store platform operations.

The overall workflow of the proposed system begins when a customer user registers and authenticates through the secure login 170 module. The user then browses available property listings, applies search filters for location, budget, and BHK type, and accesses property details. To view owner contact information, the product catalogue, adds items to system deducts virtual coins from the shopping cart or wishlist, and proceeds to checkout. The backend validates cart contents, processes payment through the selected gateway, generates an invoice, and initiates real-time order tracking. user's balance. The modular architecture ensures that each stage operates independently, improving fault isolation and system maintainability. Table-II: Technology Stack of Home Deal Layer Technology Used Frontend React.js, Next.js, JavaScript, Tailwind CSS Backend Node.js, Express.js ORM Mongoose ODM Database MongoDB Security JWT, bcrypt AI Layer Coin-Based Contact System Payments EmailJS, Notification API UI & Charts Tailwind CSS, Radix UI, React Icons, Chart.js IV. METHODOLOGY The development of SmartMart Home Deal follows a structured and modular methodology ensuring efficient product property management, secure payment processing, intelligent customer assistance, user authentication, coin-based contact access control, and scalable system implementation. The methodology focuses on user authentication, product property handling, order search and filtering, coin management, review processing, payment integration, AI assistance, and administrative workflow coordination [16].

The proposed system follows a workflow-oriented architecture where user actions are processed through multiple stages before producing outputs such as order confirmations, invoices, property contact details, notifications, and delivery updates. review submissions. The overall methodology begins with user registration and authentication, progressing through product property browsing, cart management, checkout, payment, filtering, coin-based contact access, and delivery tracking. review management.

The system workflow consists of the following major stages: g. User Registration and Authentication h. Product Property Browsing, Search, and Filtering i. Shopping Cart and Wishlist Coin-Based Contact Access Management j. Order Placement Property Listing and Payment Processing Agent Registration k. Real-time Order Tracking l. Invoice Generation Listing Management and Email Notification m. Admin Dashboard Management and Platform Analytics Users register with personal details and are authenticated using Spring Security with JWT tokens. The system validates credentials and issues signed tokens that authorize all subsequent API requests. BCrypt password hashing ensures that plaintext passwords are never stored in the database [17].

The registration workflow includes email verification profile setup to confirm the authenticity of user accounts before granting access to purchase-related property contact features. This additional security step prevents unauthorized account creation and reduces the risk of fraudulent activity on the platform. Session management ensures that JWT tokens expire after a defined period, requiring users to reauthenticate for continued access.

Product Property management allows administrators and agents to create, update, and delete product property listings with categorization, location, pricing, stock management, BHK type, and image handling. Users browse products properties through a responsive catalogue listing interface with dynamic search, category filtering, and real-time stock availability indicators.

The shopping cart and wishlist modules allow customers coin-based contact mechanism requires users to save products for future purchase and manage items before proceeding spend virtual coins to checkout. view property owner contact details. The system maintains cart state coin balances across user sessions, ensuring that customers do not lose their selections due to page refreshes or temporary session interruptions. Wishlist items coin deductions are recorded accurately. New users receive an initial coin allocation upon registration, and additional coins can be moved to the cart with a single action, acquired through platform interactions, simplifying the path from product property discovery to purchase owner contact [18].

Figure-2: Data Flow Diagram of SmartMart E-Commerce Home Deal System The order processing contact access workflow is initiated when a user proceeds requests to checkout from the shopping cart. view a property owner's contact details. The backend validates cart contents the user's coin balance and routes deducts the transaction through the selected payment gateway. required coins Upon successful payment confirmation from PayPal or Razorpay, access. the system automatically generates a PDF invoice logs the contact transaction for audit purposes and dispatches an email a notification to the property owner using EmailJS the notification API [18].

The AI chatbot, powered by Google Generative AI, responds rating and review system allows tenants to customer queries in natural language. It provides product recommendations, answers store policy questions, submit structured feedback on properties they have engaged with. Reviews improve platform transparency, helping future users make informed rental decisions. The system validates review submissions and assists with order-related inquiries, displays aggregated ratings prominently on property listing cards, significantly reducing customer support overhead while improving overall platform trustworthiness and user engagement.

Task Notification management and delivery tracking are is integrated into the workflow to improve operational coordination among team members. user engagement and platform responsiveness. Once an order a property listing is confirmed and payment is verified, administrators can assign delivery tasks published or updated, the system dispatches real-time notifications to personnel through users who have expressed interest in similar properties. the dashboard. The delivery tracking notification module enables real-time updates of shipment status, allowing customers to monitor their orders from dispatch to final delivery. timely alerts about property availability, coin balance updates, and platform announcements. This centralized notification workflow significantly reduces manual coordination overhead information lag and improves customer user satisfaction.

The proposed methodology also supports future scalability and extensibility. The modular system design enables integration of additional functionalities such as machine learning recommendation engines, cloud deployment, real-time inventory synchronization, AI-based property recommendations, mobile application development, online payment gateway integration, and multi-vendor multi-city support in future iterations of the platform without requiring significant architectural redesign.

V. SYSTEM DESIGN AND IMPLEMENTATION SmartMart Home Deal was successfully implemented as a full-stack webbased e-commerce house rental management platform integrating frontend visualization, backend processing, AI assistance, payment gateway integration, coin-based contact access, notification management, and centralized workflow management. administrative workflow. The implementation focuses on scalability, secure communication, modular architecture, and efficient vulnerability data handling in support of modern online retail property rental operations [20].

The system architecture follows a separation of concerns principle, where each module is responsible for a distinct operational domain. This approach improves code maintainability, facilitates independent testing of components, and allows developers to update individual modules without disrupting the overall system. The use of well-established design patterns such as Repository, Service, and Controller MVC layers in the Spring Boot Node.js/Express.js backend further enhances code organization and readability.

The frontend is developed using Angular 10 React.js and TypeScript Next.js providing a responsive and interactive user interface. Angular Material Tailwind CSS components ensure consistent UI design, while the Redux Toolkit manages React state management handles application state efficiently. Angular Next.js Router handles multi-page navigation with route guards enforcing rolebased page access restrictions [21].

Figure-3: Use Case Diagram of SmartMart E-Commerce Home Deal System The backend system is implemented using Spring Boot 3 Node.js and Express.js REST APIs handling request processing, business logic, order property management, payment processing, coin transactions, and email notifications. Spring Data JPA with Hibernate ORM Mongoose ODM simplifies database operations and entity document relationship management. RESTful API design ensures clean separation between frontend and backend using JSON-based communication [22].

User authentication is secured using Spring Security with JWT token generation and validation. BCrypt ensures secure credential storage. Role-based access control separates privileges between Customer, Admin, General Users, Property Agents, and Delivery Personnel Administrator roles, enforcing authorization at the API level for all sensitive endpoints.

Figure-4: Activity Diagram of SmartMart Home Deal Application Workflow Payment processing The coin-based access system integrates both PayPal with the user account management module, tracking virtual coin balances and Razorpay APIs, supporting multiple payment methods and currencies. deducting coins upon property contact access. Server-side verification validation of payment coin transactions prevents fraudulent operations. Upon successful payment, contact access, the system logs the transaction and triggers automated PDF invoice generation and email delivery workflows a notification to the property owner [23].

The backend system is implemented using Spring Boot 3 Node.js and Express.js REST APIs handling request processing, business logic, order property management, payment processing, coin transactions, and email notifications. Spring Data JPA with Hibernate ORM Mongoose ODM simplifies database operations and entity document relationship management. RESTful API design ensures clean separation between frontend and backend using JSON-based communication [22].

The AI chatbot rating and review module uses enables users to submit structured feedback on properties. Reviews are stored in MongoDB and displayed aggregated on property listing cards. the Google Generative AI API to process natural language queries from customers. The chatbot review system is embedded within the frontend property detail interface and provides real-time assistance transparent quality indicators without requiring manual customer support intervention, moderation, improving operational efficiency platform trustworthiness significantly.

Figure-5: Login Module Page Interface of SmartMart Home Deal The invoice generation notification module produces professional PDF documents containing order details, itemized billing, payment confirmation, real-time alerts for users regarding property availability, coin balance changes, and estimated delivery information. Invoices platform updates. Notifications are made available for download displayed in the user dashboard through a dropdown interface and are simultaneously sent to tracked in the registered customer email address. MongoDB notifications collection for audit and history purposes.

The admin dashboard provides visual analytics through Chart.js charts displaying sales property listing trends, user activity, inventory levels, coin transaction statistics, and order statistics. platform engagement metrics. These dashboards enable administrators to make data-driven decisions for inventory management, pricing, platform management and marketing. user support. Multi-device session management and audit logging further strengthen governance and accountability [24].

The system implementation also includes comprehensive testing procedures covering unit testing of individual modules, integration testing of combined components, and system testing of complete end-to-end workflows. All major modules including user authentication, product property management, shopping cart, order processing, payment integration, invoice generation, coin deduction, listing operations, review submission, and order tracking notification delivery were tested successfully across multiple scenarios without significant errors or performance issues.

The frontend interface remained responsive during continuous updates and supported efficient rendering of product catalogues, order history, and admin analytics. API response times remained stable during multiple concurrent request-response operations. PostgreSQL MongoDB provided efficient storage and retrieval of product records, user data, and operational information throughout the testing process [25].

Figure-6: User Registration Page Interface of SmartMart Home Deal The experimental evaluation of the system focused on functionality testing, API performance, security validation, and UI responsiveness. The system successfully processed user registrations, product property management, order placements, payment coin deduction transactions, review submissions, and invoice generation notification delivery without significant errors or performance degradation during testing.

Figure-7: SmartMart Home Deal Home Page Interface The admin dashboard provides visual analytics through Chart.js charts displaying sales property listing trends, user activity, inventory levels, coin transaction statistics, and order statistics. platform engagement metrics. These dashboards enable administrators to make data-driven decisions for inventory management, pricing, platform management and marketing. user support. Multi-device session management and audit logging further strengthen governance and accountability [24].

Figure-8: Product House Listing Page Interface of SmartMart Home Deal VI. RESULTS AND DISCUSSION The implementation and experimental evaluation of SmartMart Home Deal demonstrate significant improvements in e-commerce rental platform usability, AI-driven customer assistance, spam prevention, and operational efficiency compared to traditional e-commerce platforms. house rental systems. The integration of intelligent product recommendations, dual payment gateways, real-time order tracking, coin-based contact access, advanced property search, rating and review mechanisms, and centralized admin analytics provides a comprehensive and scalable online retail property rental solution [25].

The role-based access control system successfully separates operational privileges between Customers, Administrators, General Users, Property Agents, and Delivery Personnel. Administrators. Security testing validated the effectiveness of JWT-based authentication and Spring Security in preventing unauthorized API access, protecting user data, and enforcing route-level authorization in both frontend and backend layers.

Dashboard analytics provided administrators with clear visibility into sales property listing trends, product performance, inventory levels, user activity, coin transaction volumes, and order platform engagement statistics. Managing products, categories, properties, users, and orders coin balances from a single centralized interface improved administrative efficiency and reduced workflow fragmentation compared to traditional systems.

Despite successful implementation results, several limitations were identified. The current AI chatbot relies on general-purpose language model capabilities and platform does not incorporate storespecific machine learning models an AIbased property recommendation engine trained on historical purchase user browsing and preference data. A dedicated recommendation engine system would further improve the relevance and personalization of product property suggestions shown to users [27].

Additionally, the current implementation does not support realtime inventory synchronization with external warehouse management systems. chat between tenants and property owners. Integration with inventory management APIs of a real-time messaging system would improve stock accuracy communication efficiency and reduce reliance on the risk of overselling during high-demand periods. coin-based contact mechanism for ongoing communications.

Another limitation concerns the absence of a dedicated mobile application. Although the Angular-based React.js and Next.js frontend is fully responsive and functional on mobile browsers, a native iOS or Android application would provide superior performance, access to device features such as push notifications and camera-based QR scanning, location-based property search, and improved offline capabilities. Development of a Progressive Web App or native mobile application is therefore a priority for future releases.

The system was evaluated against a set of functional and nonfunctional requirements defined during the design phase. Functional testing confirmed that all core e-commerce platform operations, including user registration, authentication, product property browsing, cart management, checkout, payment processing, order tracking, search and invoice download, filtering, coin deduction, review submission, and notification delivery, operate correctly and reliably. Non-functional Nonfunctional testing assessed system performance, security, and usability, yielding positive results across all evaluation criteria.

One of the major advantages observed is the improvement in customer experience platform trustworthiness facilitated by the AI chatbot. rating and review system. Traditional rental platforms require customers tenants to navigate static FAQs rely on unverified descriptions or await human support external references for product queries. SmartMart's property evaluation. Home Deal's built-in chatbot powered by Google Generative AI resolves customer queries instantly, review mechanism enables structured feedback from tenants, reducing support overhead information asymmetry and improving overall user satisfaction and platform engagement.

The dual payment gateway integration through PayPal coin-based contact mechanism significantly reduces spam inquiries and Razorpay significantly expands payment options available unsolicited communications compared to customers across different regions and preferences. platforms with direct contact visibility. Security validation confirmed that all payment coin transactions are processed securely with server-side balance verification effectively preventing fraudulent contact access or unauthorized or fraudulent operations coin manipulation [26].

The role-based access control system successfully separates operational privileges between Customers, Administrators, General Users, Property Agents, and Delivery Personnel. Administrators. Security testing confirmed that JWT tokens are properly validated the effectiveness of JWT-based authentication and Spring Security in preventing on all protected endpoints, ensuring that unauthorized API access, protecting user data, and enforcing route-level authorization in both frontend and backend layers. users cannot access contact details or admin features without proper authentication. Dashboard analytics provided administrators with clear visibility into sales property listing trends, product performance, inventory levels, coin transaction volumes, user activity patterns, and order statistics. platform engagement metrics. Managing products, categories, users, property listings, and orders coin balances from a single centralized interface improved administrative efficiency and reduced workflow fragmentation compared to traditional rental management systems. Despite successful implementation results, several limitations were identified. The current platform does not yet support online payment gateway integration for coin purchases. A dedicated payment gateway integration would enable users to purchase additional coins securely, expanding platform monetization capabilities [27]. Additionally, the current platform does not provide map-based property search capabilities. Integration of geographic mapping APIs would significantly improve the property discovery experience, enabling users to visualize property locations relative to their preferred areas and commute routes. Another limitation concerns the absence of a dedicated mobile application. Although the React.js and Next.js frontend is fully responsive and functional on mobile browsers, a native iOS or Android application would provide superior performance, access to device features such as push notifications and location-based search, and improved offline capabilities. Development of a Progressive Web App or native mobile application is therefore a priority for future releases.

VII. FUTURE ENHANCEMENTS SmartMart Home Deal provides a scalable and efficient foundation for modern e-commerce house rental management operations. Although the current implementation successfully integrates AI assistance, dual payment gateways, real-time order tracking, coin-based contact access, property search and filtering, rating and review mechanisms, and admin analytics, several advanced enhancements can further improve system automation, scalability, and enterprise market applicability [28].

Future enhancements including machine learning-based recommendations, cloud-native deployment, PWA mobile capabilities, multi-vendor marketplace support, and DevSecOps integration will further strengthen the platform's enterprise applicability and expand its potential user base. The long-term vision for SmartMart is to evolve into a fully autonomous, AIdriven e-commerce management platform capable of supporting businesses of all sizes in the increasingly competitive digital marketplace.

Integration with CI/CD pipelines such as Jenkins, GitHub Actions, Actions and Docker-based deployment environments would enable continuous security validation and automated regression testing during software development and deployment stages. DevSecOps integration would improve proactive vulnerability detection and strengthen secure software development practices throughout the development lifecycle.

Social media integration and social commerce sharing capabilities represent additional enhancement opportunities. Enabling customers users to share product property listings on social platforms, authenticate using social accounts, and receive personalized promotions property suggestions based on browsing behavior would increase organic traffic and improve customer user acquisition. Integration with social commerce platform APIs would allow SmartMart Home Deal to participate reach wider audiences in emerging social shopping ecosystems the competitive rental marketplace effectively.

One major future enhancement involves integrating a machine learning-based product property recommendation engine trained on historical purchase browsing and browsing search data. This would significantly improve the personalization of product property suggestions beyond the current general-purpose AI chatbot, filter-based search, enabling targeted crossselling property recommendations tailored to individual user preferences and upselling capabilities. budgets.

Future versions of the system can also integrate real-time inventory synchronization with physical warehouse management systems chat between tenants and supplier APIs. Real-time stock updates property owners. This would significantly improve communication efficiency, enable tenants to ask property-specific questions directly, and automated reordering would improve inventory accuracy, reduce stockout incidents, the friction involved in scheduling property visits and streamline supply chain operations rental negotiations [29].

DevSecOps Payment Gateway Integration Continuous security validation Online coin purchase and payments Cloud-native deployment on platforms such as Amazon Web Services (AWS) or Microsoft Azure would improve scalability, high availability, and distributed data management. Containerization using Docker and orchestration via Kubernetes would support automated scaling based on real-time traffic demands during peak rental search periods [30].

The experimental evaluation confirmed that SmartMart Home Deal successfully processes complete e-commerce rental management workflows including registration, product property browsing, cart management, secure payment, order tracking, search and invoice generation. filtering, coin-based contact access, review submission, and notification delivery. The platform shows significant improvements in customer user experience, administrative efficiency, and operational security compared to traditional ecommerce rental management solutions evaluated during the literature review phase. Although the current implementation has certain limitations including the absence of a dedicated ML recommendation engine and real-time warehouse inventory synchronization, the proposed system provides a strong and extensible foundation for intelligent e-commerce management. The modular architecture ensures that these capabilities can be integrated in future releases without requiring fundamental changes to the existing system design.

Social media integration and social commerce capabilities represent additional enhancement opportunities. Enabling customers to share product listings on social platforms, authenticate using social accounts, and receive personalized promotions based on browsing behavior would increase organic traffic and improve customer acquisition. Integration with social commerce APIs CI/CD pipelines such as Jenkins, GitHub Actions, and Docker-based deployment environments would allow SmartMart to participate in emerging social shopping ecosystems effectively. enable continuous security validation and automated regression testing during software development and deployment stages. DevSecOps integration would improve proactive vulnerability detection and strengthen secure software development practices throughout the development lifecycle.

The modular architecture of SmartMart Home Deal provides strong flexibility for integrating these future enhancements without requiring significant architectural redesign. The scalability and extensibility of the system ensure that it can evolve into a comprehensive enterprise-grade e-commerce rental management platform capable of addressing emerging digital retail rental requirements and evolving customer user expectations.

VIII. CONCLUSION The rapid expansion of digital infrastructure, cloud computing platforms, and mobile internet access has significantly increased the importance of effective and intelligent e-commerce house rental management systems in modern business operations. Organizations urban living. Property seekers and owners continuously require scalable, secure, and user-friendly online retail platforms capable of delivering superior shopping transparent rental experiences and efficient operational efficiency management [31].

This paper presented the design and implementation of SmartMart, Home Deal, a comprehensive AI-powered e-commerce web web-based house rental management application developed to address the limitations of traditional online retail property listing platforms. The proposed system successfully integrates AI-driven customer assistance through Google Generative AI, dual payment gateway support via PayPal advanced property search and Razorpay, real-time order tracking, PDF invoice generation, filtering, coin-based contact access control, free property listings, rating and review mechanisms, JWT-based authentication, rolebased role-based access control, real-time notifications, and centralized admin analytics into a scalable full-stack architecture.

The frontend developed with Angular 10 React.js and TypeScript Next.js delivers a responsive and user-friendly interface, while the Spring Boot 3 Node.js and Express.js backend ensures robust API processing, secure authentication, and efficient database management through PostgreSQL MongoDB and Hibernate ORM. Mongoose ODM. Security mechanisms including Spring Security, JWT tokens, tokens and BCrypt password encryption collectively protect user data and system integrity across all operational layers of the platform.

Although the current implementation has certain limitations including the absence of a dedicated ML recommendation engine and real-time warehouse inventory synchronization, the proposed system provides a strong and extensible foundation for intelligent e-commerce management. The modular architecture ensures that these capabilities can be integrated in future releases without requiring fundamental changes to the existing system design.

In conclusion, SmartMart Home Deal successfully addresses the core challenges faced by modern online businesses property seekers and owners by integrating intelligent assistance, coin-based spam prevention, flexible payment property search options, centralized platform management, and comprehensive security into a unified and scalable platform. The system provides an efficient and practical e-commerce house rental solution capable of supporting growing digital retail rental operations and future advancements in web-based commerce property management technologies.