Parcel Loss

Parcel loss is a significant problem across various sectors, from e-commerce delivery to agricultural monitoring, driving research into improved tracking and prediction methods. Current research focuses on developing intelligent systems using machine learning, including deep learning models like hybrid ensembles and convolutional neural networks, to predict parcel loss and optimize logistics. These advancements leverage data from various sources, including IoT sensors and high-resolution imagery, to enhance accuracy and efficiency, ultimately impacting cost reduction and resource optimization in diverse applications. Explainable AI techniques are also being incorporated to improve the transparency and usability of these predictive models.