AI RESEARCH
EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
arXiv CS.AI
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ArXi:2604.05254v1 Announce Type: new Modern logistics networks generate rich operational data streams at every warehouse node and transportation lane -- from order and routing records to shipping manifests -- yet predicting delivery delays remains predominantly reactive. Existing predictive approaches typically treat this problem either as a tabular classification task, ignoring network topology, or as a time-series anomaly detection task, overlooking the spatial dependencies of the supply chain graph.