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With the massive data explosion, the era of big data has arrived. How to analyze big data efficiently has become an important topic. Machine learning, which uses artificial intelligence, is one of the most commonly used methods of data analysis. Traditional machine learning algorithms are often designed for offline batch training, but this approach is difficult to apply to large and growing data sets in big data environments. This paper takes the procurement business of manufacturing enterprises as the research object, and on the basis of comprehensive analysis of the characteristics of procurement business and data characteristics, determines the construction idea of intelligent procurement management framework, and builds an intelligent procurement management framework based on machine learning under big data. Based on this, this paper uses decision tree machine learning algorithm to transform the traditional procurement system. Make it more suitable for the current big data environment.
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