UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 5
May-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2505650


Registration ID:
562053

Page Number

f446-f455

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Title

AI-Augmented Intelligent Stock Management and Recommendation System Using MERN Stack with Real-Time Analytics and Secure User Interaction

Abstract

ChatGPT You said: Provide abstract which u last provided me ChatGPT said: Here's the abstract I last provided you, based on your Tourism Management System project modeled after the "Smart Tour: A Scalable AI-Enabled Web Platform for Seamless Tour and Travel Management" paper: Abstract: The Tourism Management System is a comprehensive and scalable web-based platform designed to streamline the management of tours and travel-related services. Leveraging modern web technologies and intelligent automation, the system enables tourists and administrators to interact seamlessly. It provides modules for destination browsing, booking, user reviews, and tour guide management, enhancing the overall travel experience. With integrated AI components for personalized tour recommendations and feedback analysis, the platform aims to improve user satisfaction and operational efficiency. The system emphasizes responsive design, real-time data updates, and secure authentication, ensuring accessibility across devices. This project presents a robust solution to the evolving needs of the tourism industry, combining usability, intelligence, and scalability to foster smart tourism. Let me know if you'd like it tailored further for your report or paper. You said: Of stock management system ChatGPT said: Here is the abstract for your Stock Management System project: Abstract: The Stock Management System is a dynamic and user-friendly web application designed to streamline inventory tracking, sales monitoring, and product analytics for businesses. Built using the MERN (MongoDB, Express.js, React.js, Node.js) stack, the system offers real-time insights into stock levels, revenue generation, and product performance. It features automated calculation of key metrics such as total items sold, total revenue, average ratings, and top-selling products based on user reviews and purchase history. The admin dashboard provides an intuitive interface for managing inventory, reviewing customer feedback, and making data-driven decisions. With responsive design, secure authentication, and efficient CRUD operations, this system enhances operational efficiency and supports informed business growth. Let me know if you want to include AI/ML modules or expand it for academic documentation. You said: stock mangement system 5.pdf PDF Provide abstract from this to fill abstract column in jetir research paper to submit paper ChatGPT said: Here is the final abstract you can use in the JETIR research paper's abstract column, based on your uploaded PDF: Abstract: The Stock Management System (SMS) proposed in this paper is a full-stack MERN (MongoDB, Express.js, React.js, Node.js) application augmented with AI to enhance stock optimization, customer engagement, and administrative decision-making. It features JWT-based secure authentication, real-time order tracking, and intelligent product filtering by category, brand, and rating. The system integrates AI-powered modules such as collaborative filtering for personalized product recommendations, sentiment analysis for customer feedback, and dynamic administrative insights for trend analysis. Visual dashboards present key analytics like sales trends and top-performing products, while an intuitive admin panel supports direct order and product management. This intelligent, scalable, and user-centric system bridges traditional inventory management with modern AI-driven decision support for efficient and secure stock operations

Key Words

Stock Management ,MERN Stack, Artificial Intelligence (AI), Real-Time Analytics, Product Recommendation ,Sentiment Analysis ,JWT Authentication.

Cite This Article

"AI-Augmented Intelligent Stock Management and Recommendation System Using MERN Stack with Real-Time Analytics and Secure User Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.f446-f455, May-2025, Available :http://www.jetir.org/papers/JETIR2505650.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AI-Augmented Intelligent Stock Management and Recommendation System Using MERN Stack with Real-Time Analytics and Secure User Interaction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppf446-f455, May-2025, Available at : http://www.jetir.org/papers/JETIR2505650.pdf

Publication Details

Published Paper ID: JETIR2505650
Registration ID: 562053
Published In: Volume 12 | Issue 5 | Year May-2025
DOI (Digital Object Identifier):
Page No: f446-f455
Country: Delhi, Delhi, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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