Sweets and Smarts: A Comprehensive Review of AI Applications in Future Candy Research and Development

Artificial intelligence (AI) is extensively utilized in the research and development of the food industry, including the realm of candy manufacturing. This paper synthesizes AI’s transformative impact on candy development, analyzing macro-level advancements (flavor innovation, recipe automation, production efficiency, quality control, personalized marketing) and micro-level glycobiology applications to study sugar’s health impacts and inform healthier formulations. It highlights AI’s role in resolving technical barriers, such as ingredient compatibility and texture stability, through generative design algorithms and real-time process monitoring. The review surveys key AI technologies (e.g., machine learning for optimization, computer vision for defect detection) and their success in accelerating R&D timelines and reducing waste. Case studies from confectionery leaders underscore AI’s potential to pioneer low-sugar alternatives, zero-waste production, and AI-augmented consumer engagement. The paper concludes that AI will drive future innovation in sustainable sourcing, functional candy design, and adaptive manufacturing, while urging collaboration to address challenges like data ethics and regulatory alignment. As consumer preferences shift, AI will remain pivotal in balancing creativity, health, and efficiency.