International Journal on Science and Technology

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Volume 16 Issue 4
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INTEGRATING AI RECOMMENDATIONS AND CHATBOT SUPPORT INTO SUSTAINABLE CLOTHING RENTAL PLATFORMS

Author(s) Mr. Shreyash Vekariya, Mr. Vinit Prajapati, Ms. Krinal Thummar, Mr. Harsh Chavda, Ms. Ankita Verma
Country India
Abstract The popularity of fashion rental as an alternative to conventional shopping has been on the rise, yet many small retailers in this field still rely on manual processes for inventory and customer management. These archaic methods frequently result in discrepancies in stock records, sluggish customer service, and limited personalization for users. To address these challenges, we present Vastra Rent, a web-based clothing rental platform aimed at assisting local retailers with practical and scalable digital solutions. The system features a Node.js backend paired with a responsive web interface developed using HTML, CSS, and JavaScript. Key functionalities encompass automated inventory management, a chatbot for real-time assistance, and a recommendation engine that proposes items based on user preferences. Additional features like rental tracking, payment processing, and profile management enhance the customer experience from browsing through to returning items. Initial trials suggest that Vastra Rent has the potential to lower operational costs for retailers while delivering a more seamless and personalized experience for customers. By unifying inventory control, conversational assistance, and smart recommendations within a single platform, this initiative paves the way for more sustainable and efficient clothing rental practices, with potential for future growth through advanced machine learning and integration with third-party services.
Keywords Clothing Rental System, Inventory Management, AI Recommendation System, Chatbot Assistance, Sustainable Fashion
Field Computer
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-10-17
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