Visualization of customer behavior is urgently needed for an increasing number of customer orders on takeout service. Although many works have been done on visualizing customer opinion or customer click events of one store, visualizing customer switching behavior among stores is still challenging. The challenge is to show customer order records over time and structure the inter-connection among different stores when customer switching behavior happens. In this work, we focus on takeout service to present a novel visual analysis system for retailers focusing on customer switching behavior patterns. Firstly we define five customer segments based on switching behavior. Then this system enables temporal-spatial driver exploration for different segments through several interactive views. Moreover, in order to visualize inter-connection sequences, augmented streamgraph with the bundled parallel coordinates is proposed as one alternative technique to visualize temporal event sequences. Evaluation including user and case studies also demonstrates the usefulness and effectiveness of this system in helping customer relationship management.

越来越多的外卖服务客户订单迫切需要可视化客户行为。尽管在可视化一个商店的顾客意见或顾客点击事件方面已经进行了许多工作，但是要可视化商店之间的顾客切换行为仍然具有挑战性。面临的挑战是随着时间的推移显示客户订单记录，并在发生客户切换行为时构建不同商店之间的互连关系。在这项工作中，我们专注于外卖服务，为零售商提供了一种新颖的视觉分析系统，着重于客户转换行为模式。首先，我们根据切换行为定义五个客户群。然后，该系统通过几个交互式视图启用对不同路段的时空驱动程序探索。此外，为了可视化互连顺序，提出了具有捆绑的平行坐标的增强流图作为可视化时间事件序列的一种替代技术。包括用户和案例研究在内的评估也证明了该系统在帮助客户关系管理方面的有用性和有效性。