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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
Article Published : 8541
Total Authors : 22459
Total Reviewer : 811
Total Countries : 159
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| Paper Title: | Enhancing Product Descriptions Using Large Language Models in E-Commerce |
| Authors Name: | Yaswanth Jeganathan |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204996
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| Published Paper Id: | IJRTI2506181 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | E-commerce has skyrocketed, creating ever-growing demand for scalable, high-quality product content. This review explores the application of large language models (LLMs) to enhancing product descriptions on online retail platforms. The various current methodologies are discussed, benchmarked LLM performance compared with traditional content generation approaches, and a theoretical model of integrating LLMs into actual systems is presented. The key challenges, such as factual consistency, ethical compliance, and brand voice alignment, are critically evaluated, and the additional issues of maintaining a uniform tone and a balanced voice across the social media outlets are also discussed. In recent studies, experimental evidence shows BLEU, ROUGE, and human evaluation metrics comparisons across multiple models. Finally, the review suggests several future research directions regarding real-time feedback, the use of multimodal input, multilingual adaptation, ethical auditing, and, finally, reducing energy deployment. Contributions to the above include building a more robust picture of how e-commerce content strategies can be enhanced by the use of LLM systems. |
| Keywords: | Large Language Models, E-Commerce, Product Descriptions, Natural Language Generation, Transformer Models, GPT, T5, BART, SEO, Personalization, Multilingual Content, Ethics in AI, Reinforcement Learning, Human Evaluation, Content Automation |
| Cite Article: | "Enhancing Product Descriptions Using Large Language Models in E-Commerce", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b673-b678, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506181.pdf |
| Downloads: | 000403 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2506181
Registration ID:204996
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b673-b678 Country: Hayward, California, United States Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506181 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506181 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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