Influences of artificial intelligence on retail marketing in the automotive industry

The integration of artificial intelligence (AI) technologies in retail marketing has revolutionized the way businesses interact with consumers in various industries, including the automotive sector. This thesis investigates the implications of employing AI in retail marketing strategies within the automotive industry and aims to provide a comprehensive analysis of consumer perspectives on this technological advancement. By employing an interview questionnaire as the primary data collection method, this research endeavors to capture the opinions and insights of individuals directly involved in the car retail sector. The significance of this study lies in its focus on understanding how AI influences consumer behavior, marketing strategies, and overall customer experience within the automotive retail environment. Through a quantitative analysis of the data collected from the interview questionnaire, this research seeks to uncover patterns, trends, and correlations that shed light on the impacts of AI on retail marketing in the automotive industry. The methodology employed in this research involves the administration of a structured interview questionnaire to a diverse group of participants, including consumers, automotive industry professionals, and marketing experts. The questionnaire is designed to elicit responses that reflect individuals' perceptions, attitudes, and experiences regarding the use of AI in retail marketing within the automotive sector. By collecting data through this qualitative approach, the study aims to capture the rich and varied perspectives of participants, providing valuable insights into the complex interplay between AI technology and consumer behavior. Following the data collection process, the analysis of responses will be conducted using statistical methods to identify key themes, trends, and patterns within the dataset. By applying quantitative techniques such as regression analysis, correlation analysis, and factor analysis, this objective of this research is to analyze the acquired data for key findings and formulate strong conclusions on how AI affects car retail marketing strategies. By clarifying consumer perspectives on the use of AI in retail marketing strategies, this research seeks to inform industry practitioners, policymakers, and academics about the opportunities and challenges related to joining AI in the car retail environment. In conclusion, this thesis represents a critical examination of the effects of AI on retail marketing in the automotive industry, with a specific focus on consumer perspectives. Through statistical evaluation of interview-derived data, this research intends to yield meaningful findings that can shape business strategies and advance innovation in car retailing. Keywords: Artificial intelligence, Retail Marketing, Automotive industry, Machine learning.