Prediction of Variety-Seeking Behavior Based on Individual Customer Purchase Data
顧客個人の購買行動データに基づくバラエティ・シーキング行動予測手法の提案

Amane URA, Yusuke GOTO
JSAI Technical Report, Type 2 SIG  
In this study, we tried to predict the brand switching behavior (variety-seeking behavior) for stimulating customer's purchases at the store in real-time. We used customer purchase data from Japanese retail stores for evaluating our proposed method. Our proposed method includes some additional explanatory variables from existing studies, which considers purchasing pattern in a time series. The results showed that our proposed method increased the prediction accuracy of brand switching behavior.
more » ... Our proposed method includes some additional explanatory variables from existing studies, which considers purchasing pattern in a time series. The results showed that our proposed method increased the prediction accuracy of brand switching behavior. Furthermore, our proposed method can be used for various stores and products because experimental results showed that our proposed method's effectiveness is independent of stores and products.
doi:10.11517/jsaisigtwo.2021.bi-018_09 fatcat:ewktcbzz5veztf7zsrb2fk3ohi