The present application relates to a kind of distribution management method, device, storage medium and
electronic equipment, it is related to distribution management technical field, the present application constructs user receiving probability
distribution model using
deep learning, and correction is carried out in combination with real-time
telephone communication result, effectively solve the problem of too early or no one to receive mail caused by recipient not at home, greatly reduce the secondary delivery rate and loss risk of fresh products, by injecting the
scoring system with fresh type and its preservation threshold as core constraint variable, ensure that the order of high time requirement can obtain higher distribution priority, complete delivery before product quality deterioration, improve user experience, while realizing the balanced scheduling of regional transport capacity through dynamic scoring mechanism, effectively alleviate the technical pain points of uneven
resource allocation in peak period, avoid the phenomenon that part of terminal is overloaded while another part is idle, based on real-time scoring dynamically generates path, can flexibly respond to
road condition anomaly, user temporary change of mind and other emergent conditions.