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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52982

Integration of Generative AI in Mern Stack for Personalized E-Commerce Systems

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52982

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52982

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SV1

Suraj Vishwakarma 1

SS2

Siddhant Sharma 2

SY3

Shivam Yadav 3

SY4

Saurabh Yadav 4

AY

Abhishek Yadav

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Abstract

This research focuses on developing an AI-Powered smart e-commerce platform that provides a highly personalized, efficient, and user-centric online shopping experience. The proposed system leverages artificial intelligence and machine learning algorithms to understand customer behaviour, predict preferences, and intelligently recommend products. Built using the MERN stack (MongoDB, Express.js, React.js, and Node.js), the platform ensures scalability, high performance, and real-time responsiveness. The system integrates generative AI to improve product discovery through intelligent chat bot interactions, allowing users to search for products using natural language queries instead of traditional

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Cite This Article

Suraj Vishwakarma 1, Siddhant Sharma 2, Shivam Yadav 3, Saurabh Yadav 4, Abhishek Yadav, "Integration of Generative AI in Mern Stack for Personalized E-Commerce Systems," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025. https://doi.org/10.55041/IJSREM52982

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Publication Date

11/9/2025

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Double-Blind Peer Review

Review Rounds: 2

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