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AI Integration in E-Commerce Wishlists: Navigating Opportunities and Challenges

AI Integration in E-Commerce Wishlists: Navigating Opportunities and Challenges
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Author(s): Nitesh Behare (Balaji Institute of International Business, Sri Balaji University, Pune, India), Shubhada Nitesh Behare (Independent Researcher, Pune, India)and Shrikant Waghulkar (Arihant Institute of Business Management, India)
Copyright: 2024
Pages: 26
Source title: Marketing Innovation Strategies and Consumer Behavior
Source Author(s)/Editor(s): Belem Barbosa (University of Porto, Portugal)
DOI: 10.4018/979-8-3693-4195-7.ch003

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Abstract

This chapter delves into the captivating intersection of AI and wishlists, exploring how e-commerce undergoes a transformative shift with innovative strategies and enhanced consumer experiences. A critical examination of existing literature unveils a multifaceted relationship between AI and wishlists, presenting a myriad of opportunities that redefine their function and shape consumer behavior. From personalized recommendations to predictive analytics, this chapter illuminates the profound impact AI integration has on consumer satisfaction and engagement. It also addresses challenges, emphasizing issues like data privacy and security. Serving as a comprehensive guide, this chapter navigates the intricate terrain of AI-infused wishlists, providing insights to revolutionize the e-commerce industry. By ensuring a robust, personalized, and secure shopping experience, the integration of AI in wishlists emerges as a pivotal force in reshaping consumer interactions.

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