In-store journey model based on ID-POS data and in-store journey data

Yutaro Ishimaru, Hiroyuki Morita, Yusuke Goto

研究成果: Conference contribution

抄録

ID-POS data has been analyzed in many retail stores for several decades, and the results have been used to support decision making such as sales promotion and item arrangement in the stores. Such analysis has effect on various business performance like total sales. Although the data is so useful, it is difficult to grasp extent of customer's interest about items that were not purchased, and to identify that it is planned purchase or not. Therefore, we need to use in-store customer journey data to reveal that complementary. In this paper, we propose an in-store journey simulation model, and carry out the agent-based simulation using actual in-store customer journey data acquired by using the Bluetooth beacons. From several computational experiments, we show that our model reproduces in-store customer journey and evaluate our model from the viewpoint of difference between our results and actual data.

本文言語English
ホスト出版物のタイトルProceedings of the 7th Multidisciplinary in International Social Networks Conference and the 3rd International Conference on Economics, Management and Technology, MISNC 2020 and IEMT 2020
出版社Association for Computing Machinery
ISBN(電子版)9781450389457
DOI
出版ステータスPublished - 2020 10 31
外部発表はい
イベント7th Multidisciplinary in International Social Networks Conference, MISNC 2020 and the 3rd International Conference on Economics, Management and Technology, IEMT 2020 - Kaohsiung, Taiwan, Province of China
継続期間: 2020 10 312020 11 2

出版物シリーズ

名前ACM International Conference Proceeding Series

Conference

Conference7th Multidisciplinary in International Social Networks Conference, MISNC 2020 and the 3rd International Conference on Economics, Management and Technology, IEMT 2020
国/地域Taiwan, Province of China
CityKaohsiung
Period20/10/3120/11/2

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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