The purpose of this paper is to propose a novel approach based on utility mining for store layout.
A utility mining-based data mining algorithm is utilized in this paper.
A real-life case study in a supermarket is conducted to illustrate the proposed approach. The findings show that the proposed approach can be used easily and efficiently to arrange store layout.
There are two limitations to this study. First, space allocation to each product family is not considered. Second, product placement in each product family is not taken into account in the proposed approach.
In this paper, a novel approach is proposed for business intelligence in retail business. The proposed approach uses a utility-based data mining approach, namely, the high-utility itemset mining (HUIM) algorithm, to rearrange store layout and to determine the relations among product families. The quantities and prices of items purchased corresponding to product families are taken into account in the proposed approach to address the needs in practice. Business intelligence software is also developed as an integral part of the proposed approach to utilize the HUIM algorithm.
