Intelligent management of the supply chain is the key to reducing operational risks, improving management levels and saving costs in petroleum and petrochemical enterprises. This paper takes the petroleum equipment manufacturing enterprise as an example, manages the information and functional requirements of its upstream and downstream enterprises collaboratively, and constructs a supply chain management system with multilevel inventory, which realizes the fine management of the inventory quantity and makes the supply chain more coordinated and continuous. It also models the management objectives of multilevel inventory and solves them using a genetic algorithm to provide a feasible supply chain management scheme. Taking Company F as an example for the case study, it is concluded that Company F has the lowest expected cost of replenishment (27,235,478.21yuan) when choosing S1, S4, S5, and S6 as the suppliers in the collaborative replenishment process, and it is also found that the total quantity of inventory in the company when using the intelligent management system of this paper is reduced by 47.96% compared with the pre-optimization period, and the total amount of inventory is reduced by 52.11%, and the area of the warehouse is saved by about 48.5%.