A Latent Class Analysis for Item Demand Based on Temperature Difference and Store Characteristics

• Published in: Industrial Engineering & Management Systems Vol. 20; no. 1; pp. 35 - 47
• Main Authors: Seko, Yuto, Shimizu, Ryotaro, Kumoi, Gendo, Yoshikai, Tomohiro, Goto, Masayuki
• Format: Journal Article
• Language: English
• Published: 대한산업공학회 31.03.2021
• Subjects: 산업공학; Weather; Purchase History Data; Demand Prediction; Weather Data; Latent Class Model

In retail stores, there is an increasing need for predicting item demand using accumulated purchase history data to cope with the fluctuating consumer demands. These fluctuations in item demand are influenced by external factors and consumer preferences. Among these, store characteristics and weathe...