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Open Access Journal Article

AI-Driven Personalization Techniques for E-Commerce Platforms

by Daniel White 1,*
1
Daniel White
*
Author to whom correspondence should be addressed.
ISTI  2020, 6; 2(1), 6; https://doi.org/10.69610/j.isti.20200222
Received: 9 January 2020 / Accepted: 23 January 2020 / Published Online: 22 February 2020
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Abstract

The rapid development of artificial intelligence (AI) technology has significantly transformed the e-commerce industry, offering numerous opportunities for personalized shopping experiences. This paper explores AI-driven personalization techniques that e-commerce platforms utilize to enhance customer satisfaction and increase sales. We discuss various AI algorithms, such as machine learning, natural language processing, and recommendation systems, and how they contribute to the creation of tailored shopping experiences. The study highlights the challenges faced by e-commerce platforms in implementing these techniques, such as data privacy concerns and the need for continuous optimization. Furthermore, we present a case study of a leading e-commerce company that has successfully integrated AI-driven personalization into its platform, resulting in improved customer engagement and conversion rates. The paper concludes with recommendations for e-commerce platforms to maximize the benefits of AI-driven personalization while addressing existing limitations.

Keywords: AI-driven personalization, E-commerce platforms, Machine learning, Recommendation systems, Customer satisfaction.;
Copyright: © 2020 by White. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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ACS Style
White, D. AI-Driven Personalization Techniques for E-Commerce Platforms. Information Sciences and Technological Innovations, 2020, 2, 6. https://doi.org/10.69610/j.isti.20200222
AMA Style
White D. AI-Driven Personalization Techniques for E-Commerce Platforms. Information Sciences and Technological Innovations; 2020, 2(1):6. https://doi.org/10.69610/j.isti.20200222
Chicago/Turabian Style
White, Daniel 2020. "AI-Driven Personalization Techniques for E-Commerce Platforms" Information Sciences and Technological Innovations 2, no.1:6. https://doi.org/10.69610/j.isti.20200222
APA style
White, D. (2020). AI-Driven Personalization Techniques for E-Commerce Platforms. Information Sciences and Technological Innovations, 2(1), 6. https://doi.org/10.69610/j.isti.20200222

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