Exploring the potential of artificial intelligence for restructuring the food packaging

Abstract

• AI in smart packaging enhances safety via real-time monitoring. • AI promotes sustainability through waste reduction. • AI boosts consumer engagement with personalized labels. • However, faces scalability challenges due to cost and integration issues. Artificial intelligence (AI) integrated into food packaging is revolutionizing the industry by making it possible to create smart and intelligent packaging systems by combining advanced technologies like machine learning, deep learning, computer vision, natural language processing, and robotics. These systems make it easier to predict shelf life, find defects quickly, ensure accurate labelling, and keep a focus on the environment, all of which improve food safety and quality assurance. AI helps with more than just operational efficiency; it also helps with reducing waste, tracking products, automating processes, and enhancing customer engagement. However, high costs, complicated data management, and strict rules make it hard to use it broadly. For industrial use, it is also important to make sure that models are reliable, accessible, and scalable. The combination of sensor-driven packaging with real-time monitoring and predictive analytics shows how AI could change supply chains, make better use of resources, and help meet sustainability goals. This review explores the latest developments, benefits, and drawbacks of AI applications in food packaging. It highlights the need for cost-effective, compatible frameworks that can be used on a large scale. Future directions should concentrate on reconciling the technical, regulatory, and ethical gaps to enhance the potential of AI in transforming packaging systems and realizing sustainable, efficient, and consumer-oriented food industries.