In this paper, the fuzzy C-means clustering algorithm is improved for enterprise customers fuzzy clustering by introducing the concept of information entropy. Based on this, it’s easy to analyze the customers’ knowledge demand and provide targeted knowledge push services. The experiment proves that the method is effective and has improved the timeliness and accuracy of the enterprise knowledge push services.