ANALYSIS OF THE EFFECTIVENESS OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IMPLEMENTATION AT THE DESIGN STAGE OF RESTAURANT ENTERPRISES
Abstract
This article presents a comprehensive and structured analysis of the effectiveness, strategic value, and real-world applications of artificial intelligence (AI) technologies at the design stage of restaurant enterprises. While most existing studies emphasize AI use in operations and customer-facing functions, this research focuses on the pre-opening conceptual phase, where foundational decisions are made regarding layout planning, infrastructure, target audience segmentation, financial projections, menu strategy, and marketing approach. This early stage plays a decisive role in business outcomes, particularly in unstable environments such as Ukraine, where limited investment access and operational uncertainty require efficient, data-driven planning. The main objective of the study is to explore the most impactful AI solutions for early-stage restaurant development, including generative design, predictive budgeting, demand forecasting, algorithmic menu engineering, and digital channel personalization. A mixed-methods design was applied, combining a quantitative survey of 150 professionals in the hospitality sector with 10 qualitative interviews involving experts in architecture, consulting, and technological innovation. Findings reveal that, despite low levels of adoption, AI tools significantly enhance decision-making, reduce planning time, improve resource allocation, and support adaptation to dynamic market conditions. Key barriers include high implementation costs, lack of awareness, and limited digital competence among small and medium-sized enterprises. The article offers actionable recommendations for restaurateurs, digital solution providers, consultants, and educators. It emphasizes the importance of revising hospitality training programs to include AI-based tools and digital design thinking, enabling future professionals to meet the growing demands of a smart, innovation-driven service economy. The study expands the academic discourse on AI in hospitality by showing its potential to shape business models from inception—not only during operations.
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