Research of evaluation information processing of inventory optimization based on grey clustering and fuzzy evaluation method

Market competition is no longer among individual enterprises, but among the Supply Chains of enterprises. How to set up and maintain a reasonable inventory level to balance the risk and loss brought by the shortage of inventory shortage and the increased inventory cost and capital cost caused by too much inventory has become an imperative problem to logistics enterprises. In this paper, the AHP method is used to determine the various classification indexes weights of the inventory, and based on the gray clustering analysis, inventory optimization evaluation model and algorithm is presented with fuzzy evaluation method, which provides a broad prospect for logistics enterprise inventory optimization and evaluation technology.