
This paper examines the transformative impact of artificial intelligence (AI) technologies on revenue growth within the e-commerce industry. By integrating AI in predictive analytics, personalized recommendations, and process automation, e-commerce platforms have significantly enhanced key revenue metrics such as transaction volumes, average order values, and customer lifetime value. The study adopts both quantitative and qualitative research methods, including regression analysis of transaction data and interviews with industry experts. The findings underscore the pivotal role of AI in driving revenue by improving customer engagement and operational efficiencies. This research offers valuable insights for e-commerce entities aiming to leverage AI for economic advantage.
predictive analytics, diffusion of innovation theory, revenue growth, operational efficiency, machine learning, technology acceptance model, personalized recommendations, e-commerce, customer retention, regression analysis
predictive analytics, diffusion of innovation theory, revenue growth, operational efficiency, machine learning, technology acceptance model, personalized recommendations, e-commerce, customer retention, regression analysis
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