International Journal For Multidisciplinary Research

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Revolutionizing Retail: An Empirical Study on the Impact of Generative AI in Omnichannel Strategies

Author(s) Sujata Sujeet Dutta
Country United States
Abstract This article examines the transformative impact of Generative AI (Gen AI) on omnichannel retail, exploring its role in enhancing customer experiences and streamlining operations across digital and physical platforms. Through a comprehensive analysis of current literature, industry case studies, and
empirical data, the study investigates six key applications of Gen AI in retail: personalization and dynamic content creation, virtual shopping assistants, inventory and fulfillment optimization, marketing content generation, customer insights and sentiment analysis, and immersive AR/VR experiences. The
findings reveal that Gen AI significantly improves personalization, operational efficiency, and cross-channel integration in retail. However, the research also identifies challenges in implementation, including data privacy concerns and the need for seamless technology integration. This article contributes to the growing body of knowledge on AI in retail and provides practical insights for retailers seeking to leverage Gen AI in their omnichannel strategies. The paper concludes by discussing future research directions and the potential long-term implications of Gen AI on consumer behavior and global retail practices.
Keywords Keywords: Generative AI, Omnichannel Retail, Customer Experience Personalization, Retail Operations Optimization, Artificial Intelligence in E-commerce
Field Computer
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-18
Cite This Revolutionizing Retail: An Empirical Study on the Impact of Generative AI in Omnichannel Strategies - Sujata Sujeet Dutta - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28799
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.28799
Short DOI https://doi.org/g8np9x
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