ABSTRACT
Product assortment and shelf-space allocation may have influence upon customer buying behavior and then induce demand (Yen-Liang Chen, Jen-Ming Chen and Ching-Wen Tung 2006). This study is aimed to understand customer buying behavior to offer a recommendation for the management department to rearrange product display. The research was conducted at a Taipei company that engaged in the sale of japan healthcare product that the company buys from the supplier. There are more than fifty sale stores across Taiwan for this medium enterprise. In this research, three-year data are collected by four retail stores of Taipei from 2015 to 2017. Motivated by the famous Heath’s beer-and-diapers discovery (Anonymous, 1998), this study uses data mining techniques to discover the undeclared, yet meaningful relationship between the relative spatial distance of displayed products and the items’ unit sales in a retailer’s store (C.W. Hubbard 1969). This paper use a dynamic programming language: PERL to analyze data. This paper proposes representation scheme and develops a robust algorithm based on association analysis.
