Abstract: To meet the diverse needs of consumers, some enterprises adopt multi-variety and small batch production mode. But material procurement delay in delivery is a major problem in such enterprises. The material delay not only affects the production plan and activities, but also affects reputation and causes economic loss. This paper attempts to use data mining techniques to introduce a RELIEF k-Nearest Neighbor classification algorithm for enterprise purchase order delivery prediction.