ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE WINE INDUSTRY: AI-DRIVEN MANAGEMENT IN VITICULTURE, WINE PRODUCTION AND ENOTOURISM

Purpose: This study examines the role of Artificial Intelligence (AI) in enhancing sustainability and efficiency within the wine industry. It focuses on AI-driven intelligent management in viticulture, wine production, and enotourism. Need for the Study: As the wine industry faces environmental and economic challenges, AI offers innovative solutions to optimize resource use, reduce environmental impact, and improve customer engagement. Understanding AI's potential in sustainable winemaking is crucial for fostering responsible and efficient industry practices. Methodology: The research is based on a questionnaire survey conducted among Polish winemakers, combined with a comprehensive analysis of AI methods applicable to viticulture, production, and tourism. Key AI technologies, including predictive analytics, machine learning, and computer vision, are explored. Findings: AI enhances vineyard monitoring, optimizes irrigation, and streamlines production processes, contributing to sustainable resource management. In enotourism, AI-powered chatbots, recommendation systems, and virtual tastings personalize consumer experiences. The study underscores AI’s impact on economic, environmental, and social sustainability, supporting local wine enterprises and cultural heritage. Practical Implications: AI in winemaking and enotourism can lead to more efficient, sustainable operations that benefit producers and consumers. AI-driven solutions promote responsible tourism, enhance wine tourism experiences, and ensure the industry's long-term viability.