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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Volume 13 Issue 3
March-2026
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRHM06035


Registration ID:
577728

Page Number

231-239

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Title

Artificial Intelligence in Digital Marketing: Opportunities and Challenges for Online Retailing

Abstract

Artificial Intelligence (AI) has emerged as a transformative force in digital marketing, significantly reshaping strategies and operational practices in online retailing. With the rapid expansion of e-commerce and increasing consumer expectations for personalized and seamless digital experiences, AI-driven technologies have become essential tools for competitive advantage. Applications such as machine learning, predictive analytics, recommendation systems, chatbots, dynamic pricing, and sentiment analysis enable retailers to enhance customer engagement, optimize marketing campaigns, and improve operational efficiency. This empirical study examines both the opportunities and challenges associated with AI adoption in digital marketing within online retailing. Using a quantitative research design, primary data were collected from 210 online retail marketing professionals through a structured questionnaire. Statistical tools including correlation and regression analysis were employed to assess the impact of AI adoption on marketing performance. The findings reveal that AI significantly improves customer personalization, marketing efficiency, and sales performance. However, concerns related to data privacy, algorithmic bias, implementation costs, and skill gaps remain substantial barriers. The study concludes that while AI adoption positively influences marketing effectiveness, sustainable implementation requires ethical governance, workforce training, and regulatory compliance. The paper provides strategic recommendations for responsible AI integration in online retail marketing.

Key Words

Artificial Intelligence; Digital Marketing; Online Retailing; E-commerce; Marketing Performance; Predictive Analytics.

Cite This Article

"Artificial Intelligence in Digital Marketing: Opportunities and Challenges for Online Retailing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.231-239, March-2026, Available :http://www.jetir.org/papers/JETIRHM06035.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

"Artificial Intelligence in Digital Marketing: Opportunities and Challenges for Online Retailing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. pp231-239, March-2026, Available at : http://www.jetir.org/papers/JETIRHM06035.pdf

Publication Details

Published Paper ID: JETIRHM06035
Registration ID: 577728
Published In: Volume 13 | Issue 3 | Year March-2026
DOI (Digital Object Identifier):
Page No: 231-239
Country: -, -, India .
Area: Commerce
ISSN Number: 2349-5162
Publisher: IJ Publication


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