Optimizing Strategy Of Inventory Management Of LED Products In H Company Based On Sales Forecasting Analysis

With the gradual development of low-carbon and environmental protection,the concept of sustainable development and the increasing attention of the public,as well as people's deeper understanding of environmental protection and global climate change,the national government has also introduced a series of preferential policies,making a new revolution in the lighting product market.Some businesses and consumers prefer new performance lighting devices,and LED products have quickly gained a foothold in the market due to their stable performance and multi-directional advantages,showing a vibrant trend.With the rapid rise of LED industry,LED manufacturers are facing increasing competitiveness.As a manufacturing enterprise,inventory plays a crucial role in the utilization of capital and the efficiency of asset operation.Therefore,some companies began to introduce the idea of inventory management,and achieved positive results,greatly reducing the operating costs of enterprises.The number of finished products in inventory decreased,which improved the capital turnover ability and to some extent the delivery ability of products,thus improving the operation ability of enterprises.This article through to the present situation of H company's inventory management,points out that H company inventory turnover rate is low,dull than the big,staff problem such as inventory management consciousness,in this paper,through a series of data to reflect the H company of the inventory management problems,such as dull than the big,inventory turnover,inventory management consciousness weak,extensive stock model,there is no scientific sales forecast model and so on.For H company is faced with the problem of inventory management status,analyzes the problem of inventory management,analysis the reason of the inventory management problems,starting from the sales side,this paper used the SPSS software to sales forecasts for the automation of data processing and analysis,combining the theory of grey prediction model proposed H company's sales forecast model to predict the next year of H company sales data.ABC key control method and EOQ model were used to calculate the inventory situation after the optimization of inventory management and save the cost.By comparing the data after inventory optimization with the data before inventory optimization,the feasibility of the inventory management optimization strategy proposed in this paper is proved and more benefits are brought to the enterprise.At the same time,this case also provides reference for other company's inventory management improvement,consolidating and developing the content and structure of H company's inventory management.Other manufacturing enterprises can also learn from H company's inventory management optimization strategy model to optimize their own inventory management.