Revolutionizing food and beverage: Technical applications of AI Across the Value Chain

Ahamed, Fnu Imran (2025) Revolutionizing food and beverage: Technical applications of AI Across the Value Chain. World Journal of Advanced Engineering Technology and Sciences, 15 (1). pp. 2226-2232. ISSN 2582-8266

Artificial intelligence (AI) technologies are revolutionizing the food and beverage industry across the entire value chain, creating transformative opportunities from agricultural production to consumer interactions. This technical article examines how advanced machine learning algorithms, computer vision systems, and predictive analytics are addressing critical challenges in global food systems while enhancing sustainability, safety, and profitability. The integration of deep neural networks has fundamentally altered traditional food processing by enabling the handling of complex, unstructured data from multiple sources. Image recognition capabilities, reinforcement learning applications, and digital twin technologies have dramatically improved production environments, reducing waste while increasing efficiency. Supply chain optimization through predictive analytics and intelligent inventory management has transformed demand planning and resource allocation. Consumer-facing applications, including personalization engines and conversational AI, have enhanced customer experiences through sophisticated recommendation systems and automated service interactions. Emerging technologies such as molecular gastronomy modeling and precision agriculture integration point toward future innovations that will further transform the industry. These technological advancements collectively demonstrate how AI integration delivers competitive advantages through enhanced operational efficiency, improved product quality, reduced environmental impact, and superior customer experiences within this complex and highly regulated sector.