Leveraging Artificial Intelligence for Enhanced Personalization and Customer Experience in E-Commerce Platforms

Authors

  • Anand Individual Contributor

Keywords:

AI in E-commerce, Personalized Customer Experience, Machine Learning Recommendations, Chatbots and Virtual Assistants, Predictive Analytics

Abstract

Artificial Intelligence (AI) is revolutionizing the e-commerce industry by enabling unprecedented levels of personalization and enhancing customer experiences. This paper explores how AI technologies, such as machine learning, natural language processing (NLP), computer vision, and recommendation systems, are being leveraged to tailor e-commerce interactions to individual customer preferences and behaviors. Key personalization strategies include dynamic content adaptation, customized product recommendations, and personalized marketing campaigns. AI-powered chatbots, virtual assistants, and predictive analytics are transforming customer service, making it more efficient and responsive. Case studies from leading e-commerce platforms like Amazon and Netflix illustrate the practical applications and benefits of AI, including increased conversion rates, improved customer loyalty, and enhanced operational efficiency. The paper also addresses challenges such as data privacy, algorithm bias, and integration with existing systems. Looking forward, the integration of AI with emerging technologies like the Internet of Things (IoT) promises to further innovate the e-commerce landscape. This paper provides a comprehensive overview of the current state and future prospects of AI in enhancing personalization and customer experience in e-commerce.

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Published

2024-07-23

How to Cite

Anand. (2024). Leveraging Artificial Intelligence for Enhanced Personalization and Customer Experience in E-Commerce Platforms. American Scientific Research Journal for Engineering, Technology, and Sciences, 98(1), 183–191. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/10512

Issue

Vol. 98 No. 1 (2024)

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Articles

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