新零售目标产品的精准需求预测

Precise Demand Forecast for New Retail Target Products

摘要: 本文通过明确影响商品销售量三个重要因素、构建灰色关联模型和灰色预测GM(1,1)模型，同时根据某商品历史销售数据采用大数据分析技术，对商品的销售量进行了精准预测，可有效解决当前大多数新零售企业重点关注的问题。

Abstract: This paper clarifies the three important factors that affect the sales volume of commodities, constructs the gray correlation model and the gray forecast GM(1,1) model, and uses big data analysis technology according to the historical sales data of a certain product to accurately predict the sales volume of the product. It can effectively solve the current problems that most new retail companies focus on.