Study of Customer Experience Personalization Through Artificial Intelligence Algorithms on E-commerce Platforms

Abstract

The e-commerce industry is increasingly adopting personalization as a key strategy to enhance customer experiences in a competitive market. By leveraging Artificial Intelligence (AI) technologies, such as Collaborative Filtering and Content-Based Filtering algorithms, e-commerce companies can offer tailored product recommendations, enhancing customer engagement and driving sales conversion. However, challenges arise in the effective implementation of AI-based personalization, including issues related to data quality, algorithm selection, and transparency in data usage. Additionally, concerns over data security can impede success. This research aims to provide insights for e-commerce companies to optimize AI-driven personalization strategies, contributing to both business practices and academic literature in management and technology.