基于数据挖掘技术的超市商品定价研究

市场巨大的竞争压力促进了超市信息化程度的不断提高,数据库技术或数据仓库技术的普遍应用,超市积累了大量的交易数据。本文基于数据挖掘技术,从海量的超市交易数据中发现客户购买商品的关联关系,从商品销量之间的相互促进的角度出发,构建考虑销售利润和销售额的多目标商品定价模型,运用人工智能算法给出商品的合理定价,为超市经营的管理层提供合理的定价方案。

Commodity Pricing Research in Supermarket Based on Data Mining Technology

Under the enormous competitive pressures in the supermarket, it has continuous improvement in information technology. Because of the universal application of the database or data warehouse technology, the supermarket has accumulated a large amount of transaction data. Based on data mining techniques, this paper tries to find relationship among goods that purchased by customers from a massive supermarket transaction data. From the angle of promoting interaction between merchandise sales, it builds sales profits and sales target commodity pricing model. Using artificial intelligent algorithm, it gives the reasonable pricing of goods for the supermarket business management.