This book is based on the machine learning perspective of intelligent supply chain as the research object. The first chapter of this book mainly introduces the theoretical overview of intelligent supply chain from the perspective of machine learning. The second chapter mainly introduces the construction of intelligent supply chain based on machine learning support vector machine. The third chapter introduces the research on the construction of intelligent supply chain by neural network. In this paper, the neural network model is used to evaluate suppliers, so as to meet the demand of building efficient intelligent supply chain. The fourth chapter of this book studies the construction of intelligent supply chain based on clustering algorithm and Logistic model in machine learning. Among them, the core function of intelligent procurement system of manufacturing enterprises of K-means algorithm is to realize the classification of suppliers. Logistic regression method is a common method for Chinese commercial banks to predict the size of credit risk, and logistic regression analysis method has high accuracy in the measurement of supply chain finance credit risk. The fifth chapter mainly introduces the innovation research of intelligent supply chain operating platform based on machine learning. 

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