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Original Article

An Intelligent E-Commerce Recommendation System with AI-Based Product Narratives

  • Paper ID 1150
  • Volume 7, Issue 3
  • Pages 360-364
  • Published Online: May-June 2026
  • 3 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Dr.Sayyad Rasheeduddin1

1 Associate Professor, Department of CSE (AI & ML), CMR Engineering College, Hyderabad, Telangana, India.

Article Information

Published Online
May-June 2026
Pages
360-364
Article Type
Original Article
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Abstract

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The rapid expansion of e-commerce platforms has resulted in a vast variety of product options for consumers, making it difficult to discover the most relevant things that fit their unique requirements. This research article proposes a novel strategy for improving the online shopping experience using generative artificial intelligence (AI) approaches. The proposed approach blends scenario-based product matching with AI-powered product description generation to deliver personalized suggestions and engaging product descriptions based on individual consumer preferences. The system uses natural language processing and fine-tuned language models to analyze user-provided scenarios and determine the most relevant products based on cosine similarity. It then generates interesting product descriptions that highlight essential features and benefits, resulting in an engaging and informative purchasing experience.

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  • ISSN 2582-8746
  • Open Access
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