The safety of our food supply chains is of paramount importance, affecting public health, economic stability, and consumer confidence. In this era of intricate global supply networks, technology has emerged as a powerful ally in the quest for food safety. This abstract provides a concise overview of the literature review's key findings regarding the integration of machine learning to bolster food safety in supply chains. Machine learning, particularly predictive modeling, stands out as a transformative force in preemptively identifying and mitigating food safety risks. By analyzing historical data and employing advanced algorithms, predictive models enable supply chain professionals to anticipate issues such as temperature fluctuations and deviations in logistics, shifting the paradigm from reactive to proactive risk management. Real-time monitoring, complementing predictive modeling, ensures the continuous oversight of critical parameters like temperature and humidity. Sensors and IoT devices maintain vigilant surveillance and trigger immediate alerts when anomalies arise, preserving food integrity and reducing waste. Machine Learning technology, a rising star in supply chain traceability, offers unparalleled transparency by creating an immutable ledger of a product's journey. It swiftly pinpoints contamination sources and cultivates consumer trust while validating ethical claims such as organic and fair-trade practices. Supplier risk assessment empowers organizations to make informed decisions about their partners. Machine learning evaluates historical performance and compliance records, quantifying and managing risks to ensure reliable sourcing. The review underscores the need for data standardization, data privacy safeguards, and model refinement. Achieving a harmonious balance between technological innovation and human expertise is essential, as machine learning enhances but does not replace the role of skilled professionals. In conclusion, the integration of machine learning into food supply chains promises a future where foodborne risks are minimized, transparency is paramount, and consumer trust remains unwavering. Innovations in technology continue to light our path as we navigate complex food supply networks, ensuring that safe, high-quality food graces our tables, enriching lives, and safeguarding public health