In-store journey model based on ID-POS data and in-store journey data
In-store journey model based on ID-POS data and in-store journey data
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基于ID-POS数据和店内旅程数据的店内旅程模型
DOI：
10.1145/3429395.3429409
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Yusuke Goto
中科院分区：
文献类型：
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作者：
Yutaro Ishimaru;Hiroyuki Morita;Yusuke Goto
ID-POS数据已经在许多零售商店进行了几十年的分析，其结果已用于支持商店中的促销和物品布置等决策。这种分析对各种业务业绩，如总销售额有影响。虽然数据是如此有用，它是难以掌握的程度，客户的兴趣有关的项目，没有购买，并确定它是计划购买或没有。因此，我们需要使用店内客户旅程数据来揭示这种互补性。在本文中，我们提出了一个店内旅程仿真模型，并进行基于代理的仿真使用实际的店内客户旅程数据通过使用蓝牙信标。从几个计算实验中，我们表明，我们的模型再现店内客户的旅程，并从我们的结果和实际数据之间的差异的角度来评估我们的模型。
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.