Predictive analytics involves using historical data and advanced algorithms to forecast future events and trends. In cold chain logistics, predictive analytics can help optimize inventory management, prevent equipment failures, and enhance route planning. For example, by analyzing temperature fluctuations and equipment performance data, companies can predict potential issues and take proactive measures to prevent disruptions. This improves the reliability and efficiency of the cold chain, ensuring that products remain within the required temperature range throughout the supply chain.