The invention discloses a scheduling method based on a single employee competent to multiple jobs. According to the method, a high-precision business volume prediction result is obtained through a machine learning model, a business volume prediction model is modified with significant factors taken into account, and the model precision is improved. The multiple jobs of a task are decomposed based on a queuing theory, an optimized genetic algorithm is used to satisfy the scheduling constraints of a single employee with multiple jobs and company labor regulations, and thus, a humanized schedulingresult is obtained. Based on the transformation of the human distribution pattern, the managers are liberated from the heavy scheduling work, the scheduling result is more fair and just, and the employees' enthusiasm for work is improved. Moreover, an intelligent human distribution system improves the service perception and satisfaction of customers.