Human resource planning is to predict and analyze the quantity, quality, and structure of human resources in different historical periods, different social environments, and different development stages, so as to meet the needs of human resources enterprises to implement strategies. It ensures that the supply of human resources within the enterprise can not only meet the needs of the enterprise, but also reduce unnecessary business costs without redundancy. It enables the supply and demand of human resources in daily business operations to achieve and maintain the work balance after dynamic resource management. Human resource planning in an enterprise not only helps to improve the utilization of human resources within the enterprise. And it is an important standard for human resource management such as recruitment, promotion, and training. This paper establishes an intelligent scheduling model of enterprise human resources based on inverse relationship. The experimental results show that before the causal analysis, the business performance measurement items are tested and the sphere test is carried out. The value is 0.86, greater than 0.85, indicating that the group data are suitable for exploratory factor analysis. At the same time, the significance of the spherical test result is 0.00, which is lower than 0.01, and the null hypothesis that the correlation coefficient matrix is a unit matrix is rejected. It shows that the data are correlated and are suitable for analyzing exploratory reasons.