Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This study examines the role of AI-powered e-commerce platforms use machine learning, natural language processing, and predictive analytics to enhance online shopping through personalized recommendations, dynamic pricing, and AI-driven chatbots, ultimately increasing sales and optimizing supply chains. This study examines the role of Artificial Intelligence (AI) in e-commerce, focusing on consumer awareness, benefits, challenges, and adoption factors. It found that AI improves the shopping experience, especially through personalized recommendations and faster search results, but trust and privacy concerns remain significant barriers. While many consumers value AI features, they are cautious about data security and the reliability of AI-driven decisions. The study recommends enhancing transparency, improving AI tool effectiveness, addressing privacy issues, and educating consumers to foster greater trust and adoption of AI in e-commerce.
"A Study on Adoption of Artificial Intelligence on E-Commerce Platforms", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 3, page no.a251-a256, March-2026, Available :http://www.ijrti.org/papers/IJRTI2603034.pdf
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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