Shopping malls are being built at a rapid pace in many South East Asian countries and it has become competitive to attract and maintain shoppers. Being able to know the volume of shoppers and predicting the volume will greatly benefit mall management. In this paper, we present shopper volume monitoring using Wi-Fi signal detectors and use the data obtained from it to derive an Auto-Regressive Integrated Moving Average (ARIMA) model for shopper volume prediction.
|Number of pages||6|
|Journal||Information - An International Interdisciplinary Journal in English, Japanese and Chinese|
|Publication status||Published - Aug 2016|
- Shopper volume
- Shopping mall
ASJC Scopus subject areas
- Information Systems