The growing complexity of global food supply chains has amplified the importance of robust systems for food safety, quality control, and contamination prevention. Traditional inspection methods and manual quality checks are increasingly being supplemented—and in many cases replaced—by smart technologies. These include real-time sensors, data analytics platforms, machine learning tools, and secure digital tracking systems. Together, they form an intelligent ecosystem capable of detecting anomalies, predicting risks, and ensuring consistent product quality throughout the food production and distribution process. This study explores the transformative role of Internet of Things-enabled systems and digital monitoring tools in maintaining food integrity. It examines critical components such as smart quality inspections, predictive equipment maintenance, cold chain monitoring, and contamination detection using biosensors. Additionally, the integration of blockchain technology is highlighted for its ability to ensure traceability and transparency across supply chains. By analyzing these technologies and their applications, the paper demonstrates how proactive, real-time monitoring significantly enhances operational efficiency, regulatory compliance, and consumer trust. It also addresses the role of automated alerts, route optimization for perishable goods, and allergen management in reducing food waste and safeguarding public health. Ultimately, the integration of smart systems into food safety practices represents a necessary evolution toward more resilient, transparent, and sustainable food networks.