Research on inventory optimization methods for coal enterprises under E-commerce procurement model

With the rapid development of technologies such as cloud computing, big data, and mobile internet, the E-commerce procurement model is gradually being applied in the coal mining industry. While it reduces inventory management costs and improves procurement efficiency for coal enterprises, it also brings new challenges. This paper analyzes three main issues in inventory management of coal enterprises under the E-commerce procurement model: increased difficulty in demand forecasting; imbalance in inventory structure; conflict between inventory turnover rate and capital occupancy. Based on this analysis, a multi-model forecasting method is introduced to construct a material demand forecasting model for coal enterprises, achieving real-time updates of demand quantities. This enables more scientific planning of inventory holding levels, avoiding excessive accumulation, reducing inventory management costs, and improving customer service levels. Utilizing the ABC-VED classification method, differentiated control strategies are implemented for different types of inventory, adopting various ordering methods to optimize the inventory structure and improve turnover rates. The paper also analyzes the implementation guarantee measures for the optimization plan. The application results show that the optimization inventory management model reduces total costs by 7.89%, decreases excess inventory by 11.41%, effectively enhances inventory turnover rates, and reduces capital occupancy, achieving optimization of total inventory costs and verifying the practical feasibility of the plan.