Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, including the retail sector, by enhancing customer engagement and improving operational efficiencies. This thesis aims to analyze the impact of AI on customer relationship management (CRM) within the retail industry. The study explores how AI technologies such as machine learning, natural language processing, and predictive analytics are being utilized to enhance CRM strategies and customer experiences in retail settings. The research begins with an introduction that provides background information on AI and CRM in the retail industry, discusses the problem statement, outlines the objectives of the study, identifies the limitations and scope of the research, highlights the significance of the study, and presents the structure of the thesis. A detailed review of relevant literature in Chapter Two examines the existing research on AI applications in CRM and their implications for the retail sector. Chapter Three focuses on the research methodology employed in this study, including the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations. The chapter also discusses the research approach, data sources, and data analysis techniques used to investigate the impact of AI on CRM in the retail industry. Chapter Four presents an in-depth discussion of the findings derived from the empirical research, highlighting the key insights and implications for retail businesses. The analysis considers how AI technologies are transforming CRM practices, enhancing customer engagement, personalizing marketing efforts, optimizing inventory management, and improving overall business performance in the retail sector. Finally, Chapter Five provides a comprehensive conclusion and summary of the thesis, summarizing the key findings, discussing their implications, and offering recommendations for future research and practical applications. The study concludes that AI technologies have a significant impact on CRM in the retail industry, offering opportunities for retailers to leverage data-driven insights and automation tools to enhance customer relationships and drive business growth. Overall, this thesis contributes to the existing literature by providing valuable insights into the transformative role of AI in CRM within the retail sector and offers practical recommendations for retailers seeking to harness the potential of AI technologies to improve customer experiences and achieve competitive advantage in the digital era.

Thesis Overview