The rapid diffusion of artificial intelligence (AI) is transforming the food service industry by reshaping customer experiences, streamlining operations, and strengthening financial management. This paper provides a narrative synthesis of academic and industry sources published between 2020 and 2024, exploring how AI applications are associated with changes in customer experiences, workflow management, financial operations, and implementation risks. Ranging from kiosks to predictive inventory systems, restaurants are increasingly adopting new technologies to improve efficiency, reduce costs, and meet customer expectations. Evidence from case studies and industry reports suggests that AI integration is linked to enhanced personalization, optimized labor management, and reduced waste, particularly among global restaurant chains seeking to remain competitive. However, these benefits are constrained by high implementation costs, data privacy concerns, and the reduction of human interaction. Overall, this review highlights both the promise and the limitations of AI in the food service sector, emphasizing that its transformative potential depends on careful integration, ethical governance, and sustainable technological adaptation. This narrative synthesis is intentionally framed to be accessible to both academic readers and industry practitioners, emphasizing applied insights relevant to restaurant managers and decision-makers rather than extensive theoretical modeling.
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