Advanced NLP techniques allow AI to understand and process human language with better accuracy and nuance. Advanced NLP algorithms, in context of e-commerce wish lists, can analyse user-generated content (UGC) like reviews and ratings of the product, feedback and wishlist descriptions to abstract valuable insights and improve recommendation accuracy.
Published in Chapter:
AI Integration in E-Commerce Wishlists: Navigating Opportunities and Challenges
Copyright: © 2024
|Pages: 26
DOI: 10.4018/979-8-3693-4195-7.ch003
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.