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Transforming E-Commerce: How AI Revolutionizes Customer Experience

EasyChair Preprint no. 13372

14 pagesDate: May 18, 2024


The convergence of e-commerce and artificial intelligence (AI) is reshaping the landscape of online retail, ushering in a new era of personalized and seamless customer experiences. This paper investigates the transformative impact of AI on e-commerce, elucidating how advanced algorithms and machine learning techniques are revolutionizing every stage of the customer journey. Through a comprehensive analysis of industry trends, case studies, and empirical research, we uncover the myriad ways in which AI enhances customer experience, from tailored product recommendations and intuitive search functionalities to dynamic pricing strategies and anticipatory shipping models. Moreover, we explore the strategic implications of AI adoption for e-commerce businesses, emphasizing the imperative of data-driven decision-making and agile experimentation. While acknowledging the potential challenges and ethical considerations associated with AI implementation, we contend that its judicious deployment holds the key to unlocking unprecedented levels of customer satisfaction, loyalty, and lifetime value. By embracing AI-driven innovations, e-commerce enterprises can position themselves at the forefront of innovation.

Keyphrases: Customer, experience, Revolutionizes

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Daisuke Nakata and Jane Smith},
  title = {Transforming E-Commerce: How AI Revolutionizes Customer Experience},
  howpublished = {EasyChair Preprint no. 13372},

  year = {EasyChair, 2024}}
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