In today’s dynamic business environment, Artificial Intelligence (AI) is transforming customer experience and personalization. This study explores how AI technologies—machine learning, natural language processing, and predictive analytics—enable companies to analyze big customer data and deliver more tailored interactions. Tools like recommendation systems, chatbots, and virtual assistants enhance engagement, satisfaction, and loyalty. Based on secondary literature, the research highlights AI’s benefits and challenges, including concerns about data privacy, algorithmic fairness, and the risk of depersonalization. The study advocates balancing AI automation with human interaction to preserve empathy and authenticity. It recommends investing in AI-driven personalization, strong data governance, regulatory compliance, and seamless omnichannel experiences. Limitations include reliance on secondary data, with future research encouraged to incorporate primary data, industry-specific insights, and cross-regional analysis.
Valentyna KhrapkinaAnastasia Seneliuk