MBA Journals Peer-reviewed management research from Consortium e-Learning Network

3 publications

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    Artificial Intelligence in Retail Customer Engagement: A Systematic Review ofTools, Strategies, and Consumer Impact

    By Dushyant Bodkhey, Shriram Dawkhar

    Abstract: Retail customer engagement has broadened far and wide thanks to the swift adoption of Artificial Intelligence (referred henceforth as AI) technologies; making it possible for businesses to create a lot more personalized, efficient, and interactive consumer experience. In this paper, a systematic review of recent research on AI in retail settings was conducted based on the implementation and application of AI tools in consumer-retailer interface areas, as well as their …

    Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 Read article

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    Artificial Intelligence in Retail: Redefining Consumer Expectations and Retail Innovation

    By Dushyant Bodkhey, Shriram Dawkhar

    Abstract: This study offers an updated and comprehensive perspective on the integration of artificial intelligence (AI) within the retail sector and its transformative impact on modern commerce. The rapid expansion of digital technologies, combined with the dominance of global technology leaders such as Amazon, Alibaba, Apple, Google, and Microsoft, has significantly elevated consumer expectations and redefined retail dynamics. AI technologies, including machine learning, predictive analytics, and automation, enable retailers to process …

    Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 · pp. 1–8 Read article

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    Generative and Predictive AI in Retail Marketing: Applications, Benefits, and Ethical Challenges

    By Dushyant Bodkhey, Shriram Dawkhar

    Abstract: Artificial Intelligence (AI) is increasingly transforming retail marketing by enabling organizations to deliver more personalized, efficient, and data-driven customer experiences. Advanced AI applications such as recommendation systems, conversational chatbots, computer vision, and automated content generation allow retailers to analyze large volumes of consumer data and predict purchasing behavior with greater accuracy. These technologies support improved decision-making in areas including product recommendations, inventory planning, customer service, and targeted promotional strategies. As …

    Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 1, 2026 Read article

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