It has recently become easier for retail stores to obtain mass customer purchase history data. Analyzing these data, it is possible to understand the preferences of each customer and to use the results for marketing strategies. At the same time, it is important to take into account item seasonality in supermarkets planing marketing policies. It is, therefore, necessary to understand whether each customer purchases items based on seasonality throughout the year. In this study, we propose a new latent class model for analyzing customers’ purchasing behavior focusing on the seasonality of items, and demonstrate an analysis using our model. Moreover, we show that analysis of customers’ purchase behavior using both conventional latent class models and our latent class model provides more useful results than using only one model.
|ジャーナル||Journal of Japan Industrial Management Association|
|出版ステータス||Published - 2019|
ASJC Scopus subject areas
- 経営科学およびオペレーションズ リサーチ