The Role of Artificial Intelligence in Shaping Business Strategies within the Travel and Food Sectors: A Qualitative Analysis of Secondary Data

Abstract

Artificial Intelligence (AI) is increasingly integral to strategic decision-making across diverse industries, with the travel and food sectors being prominent examples of its transformative impact. This study examines how AI shapes business strategies in these sectors by analyzing secondary data through a qualitative, thematic approach. Four primary themes were identified: personalization, operational efficiency, demand forecasting, and ethical considerations. Findings indicate that while both sectors leverage AI to enhance customer experience and streamline operations, each industry applies AI in distinct ways tailored to its unique challenges and goals. The travel sector emphasizes AI-driven personalization and dynamic pricing to attract and retain customers, while the food sector focuses on inventory optimization and targeted marketing. Ethical issues, including data privacy, transparency, and job displacement, were found to be crucial concerns across both sectors, underscoring the need for responsible AI implementation. This study contributes to the growing body of literature on AI in business strategy and highlights opportunities for future research on industry-specific AI practices and ethical guidelines.