The paper presents an AI-Driven IoT Refrigeration Monitoring (IRM) using support vector machine algorithms (SVM). The improvement in food safety and environmental sustainability has resulted in a paradigm shift in the techniques used for refrigeration. IRM guarantees that refrigeration units have perfect temperature management by seamlessly combining modern sensors, real-time data analysis, and artificial intelligence. The innovative strategy stops food spoiling, improves food safety, cuts down on waste, and promotes environmental responsibility across the supply chain. The intuitive alarm mechanism of the system notifies temperature variations as quickly as possible, which enables immediate remedial steps to be taken. IRM becomes a crucial instrument for preserving fresh foods and promoting environmentally aware behaviors since it bridges the traditional refrigeration rules with the digital world. The structure of the system, its benefits, and its potential to redefine industry norms in terms of safety and sustainability are discussed in depth in the article. © 2025 Elsevier B.V., All rights reserved.