Researchers have developed a decision-making framework for IoT systems in cold chain logistics that goes beyond simple threshold monitoring. The Quality-Aware Decision Intelligence (QADI) framework combines physical and data-driven modeling to estimate product degradation and make informed decisions. It outperforms existing methods in predicting shelf life and reducing spoilage rates, with the help of a language model-based reasoning layer. --- Why it matters: This matters because current cold chain logistics systems often rely on reactive monitoring, which can lead to inefficiencies and waste. The QADI framework's ability to make informed decisions based on real-time data could improve supply chain efficiency and reduce food spoilage. Source: https://arxiv.org/abs/2608.15082