Design of labor capacity management system based on artificial intelligence and machine learning

With the development of artificial intelligence technology and the expansion of its application scope, an intelligent change has taken place in human resource management. Due to the influence of human factors and experience, the traditional manpower allocation method is difficult to achieve the best benefits. On the basis of artificial intelligence, using machine learning, big data analysis and other methods, human resources can be optimized to the maximum extent, and the operating efficiency and production efficiency of enterprises can be improved. This paper makes an in-depth analysis of the imbalance between supply and demand of human resources and the low efficiency of resource allocation in human resources management in China. Through the collection and analysis of massive human resources, this system uses machine learning method to identify and predict them, which can accurately judge the employment demand of each position, so as to achieve the purpose of automatic deployment. In this paper, the main functional modules, data processing flow and key technologies of the system are discussed in detail. Combined with specific examples, this paper makes an empirical study on the adopted methods. A company (manufacturing) reduced the labor cost by 800,000 yuan, while C company (manufacturing) reduced the labor cost by 1.5 million yuan. The research shows that using artificial intelligence technology to allocate human resources can effectively improve the efficiency and accuracy of human resources allocation, reduce human disturbance and reduce the operating cost of enterprises.