Clustering of Customer Shopping Paths in Japanese Grocery Stores
Autor: | Tomomichi Suzuki, Reo Tsutsui, Katsutoshi Yada, Natsuki Sano |
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Rok vydání: | 2016 |
Předmět: |
Grocery store
Computer science Movement (music) 05 social sciences KL statistics Advertising consumer behavior 02 engineering and technology 0502 economics and business customer shopping path data 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences k-medoid clustering 050211 marketing 020201 artificial intelligence & image processing grocery store Cluster analysis Consumer behaviour General Environmental Science |
Zdroj: | KES |
ISSN: | 1877-0509 |
DOI: | 10.1016/j.procs.2016.08.176 |
Popis: | Abstract. Data about the shopping paths of customers in stores are now available due to developments in radio frequency identifica- tion technology. In this study, we conducted clustering of the shopping paths of customers gathered in a grocery store in Japan. We obtained nine typical movement patterns from the clustering results. In addition, we associated the customers’ shopping paths with purchase results obtained from point of sales data. We examined the movement patterns in terms of their demographic features, purchase results, stay time ratio for each sales area, and the shapes of the movement patterns. |
Databáze: | OpenAIRE |
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