Transforming consumer shopping journeys: Unleashing generative AI for higher e-commerce revenue

Arun Krishnakumar *

Independent Researcher, USA.
 
Review
International Journal of Science and Research Archive, 2022, 05(02), 373-386.
Article DOI: 10.30574/ijsra.2022.5.2.0065
Publication history: 
Received on 09 February 2022; revised on 13 April 2022; accepted on 15 April 2022
 
Abstract: 
Online shopping has undergone a significant transformation in the recent years, largely driven by generative AI. This paper explores how generative AI reshapes e-commerce businesses by optimizing consumer shopping journeys, providing hyper-personalized experiences, and driving revenue growth. Generative AI's advanced capabilities allow platforms to anticipate and curate personalized product recommendations, which enhances user engagement through tailored offerings. Advancements such as predictive analytics, conversational AI, and real-time behavioral insights have significantly impacted online businesses. Additionally, the paper addresses the challenges of implementing generative AI, such as data privacy and ethical considerations, while proposing effective and responsible adoption strategies. This study highlights how generative AI transforms operations, improves customer satisfaction, and increases revenue, ultimately redefining the e-commerce ecosystem.
 
Keywords: 
Generative AI; E-commerce transformation; Consumer shopping journeys; Personalization in retail; Predictive analytics; Conversational AI; Revenue optimization; Ethical AI adoption; Digital economy
 
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