Delivery Related Task

Delivery-related tasks encompass optimizing the entire process from order dispatch to final delivery, aiming to minimize costs and maximize efficiency. Current research focuses on improving order dispatch algorithms, often employing reinforcement learning and approximate dynamic programming techniques, as well as optimizing hub locations using clustering and location-allocation models. These advancements leverage geographic information and user preferences to enhance delivery speed and reduce logistical burdens, impacting both e-commerce operations and urban logistics planning. The development of specialized pre-trained models for address processing further contributes to improved efficiency and accuracy within the delivery ecosystem.