The Digitally Associated Display Model For Convenience Stores: A Case Study
Abstract Commodity display is one of the important means to improve customer shopping experience and enhance competitiveness in the convenience. Previous research only based on the characteristics of the commodities, but did not consider the importance of customers to display of commodities. Therefore, this paper presents the digitally associated display model that combines customer group concepts and digital means to mine customer and commodities information. First, analyze the preliminary association rules of commodities by Apriori algorithms, to provide data support, and check whether the data is true and feasible. Second, apply RFM model to analyze customers to get the importance of customers. Finally, construct a digital display model that combines customer group concepts and digital means to mine customer and commodities information. The research showed that: (1) the digitally associated display model can provide a scientific basis for the community convenience store to optimize the way of commodity display; (2) the digitally associated display model can optimize the layout of commodities to bring great room for profit growth for convenience stores. (3) the digitally associated display model can provide a reference for optimizing customer management methods, which is conducive to enhancing customers' shopping experience and satisfaction.