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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 12 Issue 2
February-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:
JETIR2502728


Registration ID:
556033

Page Number

h211-h215

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Title

E-Commerce Content Generation using Generative AI: A Case Study on Product Description Generation

Abstract

E-commerce platforms now face unwavering market pressure to supply top-notch product descriptions because their numbers continue to grow. Modern e-commerce content generation benefits greatly from the emergence of generative artificial intelligence with large language models as its foundation. The research investigates generative AI applications which specifically generate product descriptions through an assessment of its available capabilities together with its operational limits and its effects on e-commerce operations. The e-commerce platform used Generative AI for their system to achieve improved accuracy while becoming more efficient and enhancing customer satisfaction. Through automation the system shortened manual description work hours by 94% and made descriptions 96% more coherent. Research findings show that e-commerce content generation is effective through Generative AI technology thus improving the potential for transformation in E-Commerce

Key Words

Generative AI, E-commerce, Content Generation, Product Description, Large Language Models

Cite This Article

"E-Commerce Content Generation using Generative AI: A Case Study on Product Description Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.h211-h215, February-2025, Available :http://www.jetir.org/papers/JETIR2502728.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

"E-Commerce Content Generation using Generative AI: A Case Study on Product Description Generation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. pph211-h215, February-2025, Available at : http://www.jetir.org/papers/JETIR2502728.pdf

Publication Details

Published Paper ID: JETIR2502728
Registration ID: 556033
Published In: Volume 12 | Issue 2 | Year February-2025
DOI (Digital Object Identifier):
Page No: h211-h215
Country: Kurnool, Andhra Pradesh, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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