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

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-10-18
DOI
https://doi.org/10.36948/ijfmr.2024.v06i05.28799
Citations
4
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
1.76
Controls
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article

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

Shantanu Dutta
4 citations
International Journal For Multidisciplinary Research
Consumer Retail Behavior Studies
1.76
article

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

Shantanu Dutta
article en
4 citations

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.

International Journal For Multidisciplinary ResearchVol. 6(5)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Consumer Retail Behavior Studies
1.76
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