Artificial intelligence significantly contributes to the intelligent development of China’s logistics industry, leading to significant advancements in the construction of industry-related regulations. The study builds a knowledge graph of the intelligent development and regulation construction of China’s logistics industry, constructs a BSB-Bi-LSTM-CRF model for named entity identification in the intelligent development and regulation construction of the logistics industry, and applies the BSB-Bi-GRU model to extract entity relationships in the intelligent development and regulation construction of the logistics industry. Based on the constructed knowledge graph, co-occurrence analysis, cluster analysis, time zone analysis, and emergence analysis were conducted on the keywords between 2010 and 2020 to explore the development trend and development focus of regulations in the intelligent development of China’s logistics industry during this period. Among the top 15 keywords, intelligent logistics, logistics regulations, logistics enterprises, legal measures, sustainable development, logistics activities, logistics management, etc., with intermediary centrality of more than 0.35 and cooccurrence frequency of more than 80, Cluster 1, Cluster 2, and Cluster 3 keywords belong to the basic, hot, and novel contents in the construction of regulations for the intelligent development of the logistics industry, respectively. The years 2010-2012, 2013-2015, and 2016-2020 correspond to the starting, exploring, and developing phases of the construction of regulations for the intelligent development of China’s logistics industry respectively.