Artificial intelligence, Food traceability, Quality control, Supply chain, Predictive analytics, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Abstract The integration of artificial intelligence (AI) in the food industry has driven significant advancements in efficiency, safety, and sustainability. This review assesses the current state and future prospects of AI applications in key areas such as food traceability, safety, quality control, supply chain optimization, and intelligent packaging solutions. AI technologies, including machine learning (ML) algorithms and computer vision systems, are widely used to optimize supply chains, predict demand, reduce waste, and enhance food safety and quality monitoring. Advanced ML models are employed to analyze production data, monitor quality parameters, and predict shelf life, ensuring compliance with stringent regulatory standards. Despite these advancements, challenges related to data quality, system integration, computational demands, and ethical considerations remain, necessitating further research and collaboration among stakeholders. This review aims to elucidate these challenges while highlighting the transformative potential of AI in the food industry. By synthesizing recent developments and trends, this paper provides valuable insights for researchers, industry professionals, and policymakers, underscoring the pivotal role of AI in driving innovation and sustainability in the food sector. Graphical Abstract