지역브랜드 경쟁력 강화를 위한 외식업 AI 교육 프로그램 운영 전략

초록

Recently, the food service industry has accelerated the adoption of artificial intelligence technologies, including order automation, customer data analysis, AI marketing, and smart kitchen systems, driven by digital transformation and the expansion of Generative AI. However, many businesses still face challenges related to limited AI capabilities and digital adaptation. This study aims to propose an AI education strategy algorithm to strengthen regional brand competitiveness in the food service sector. The research analyzed AI adoption cases and digital transformation trends in domestic and international food service industries and examined an industry–academic cooperation-based AI education program linked to a job creation project in Jung-gu, Seoul. Practical educational components such as Generative AI content creation, digital branding, customer response automation, and inventory management were analyzed to develop customized learning strategies. The findings indicate that Generative AI and data-driven operating systems contribute to productivity improvement, cost reduction, and enhanced customer service. Furthermore, the study presents a five-stage AI education operation model consisting of learner classification, content design, implementation, KPI tracking, and continuous improvement, confirming the potential of industry–academic cooperation for digital transformation and regional brand competitiveness.

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