Optimal Scheduling of Urban Logistics Service Supply Chain Based on Artificial Intelligence Algorithm

With the comprehensive popularization of AI, the traditional supply chain logistics field has been unable to meet the social needs, leading to the reduction of industrial operation efficiency. In this article, artificial intelligence (AI) algorithm is considered to realize the intelligent growth of the supply chain logistics industry, the optimal scheduling problem of urban logistics service supply chain is studied and discussed, and a new optimal scheduling algorithm of logistics service supply chain is proposed. In the implementation of the algorithm, the merging position of merging points is deeply studied, and according to the characteristics of merging points and different constraints, they are processed separately, and good optimization results are obtained. The research shows that the algorithm in this article converges quickly, its accuracy rate can reach 95.14%, and its recall rate can reach 94.97%. Moreover, the simulation running time of the algorithm is short and its performance is excellent. It is hoped that this research can provide some theoretical basis and technical support for the optimal scheduling of urban logistics service supply chain, and provide a reliable basis for staff to carry out their work, so as to promote the further growth of urban logistics service supply chain.