Intelligent warning of spare parts inventory safety based on cloud computing and ID3 algorithm

Considering the discontinuous and uncertain demand for spare parts, as well as the wide variety and slow turnover of spare parts, which makes it difficult to accurately predict inventory demand, in order to optimize spare parts inventory management, ensure the safety and timeliness of spare parts supply, reduce inventory costs, and improve overall operational efficiency, a cloud computing and ID3 algorithm based intelligent warning method for spare parts inventory safety is proposed. Build a cloud based spare parts inventory management platform to meet the need for real-time sharing of spare parts inventory information. Collect data related to safety stock through the platform, use ID3 algorithm to predict safety stock level, and set the predicted safety stock level as the warning threshold. When the inventory level approaches the safety stock threshold, the system triggers the warning mechanism. The experimental results show that the proposed method has a low out of stock rate, high inventory turnover rate and inventory cost reduction rate, indicating that it effectively improves inventory structure and reduces inventory costs.