User Experience Research of Queuing System based in Chinese Smart Bank Branches

Yongkang Xing, X. Cai, Kun Li, Qiaoqian Lu, Xiaoyan Wang, Jian Ruan
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Abstract

With the development of Internet finance, customer behavior and consumption habits have transformed and brought new challenges to commercial banks' traditional branches in China. Bank branches face the pressure of rising operating costs, declining profits, and being gradually replaced by online services. Under the smart economic trend, bank branches are facing significant transforming and upgrading. Branches will gradually transform their roles from traditional business transaction centers to product marketing and customer experience centers. The intelligent upgrading and transformation of branches play an essential role in accelerating the process. In this paper, our research focuses on user experience in the smart branch and adjust with the smart society development trend. We study smart diversions' pre-processing at smart branches, establish smart queuing models, and mobile appointment systems to control the queue. We compare the smart model with the traditional under the bank's virtual simulation system. Use customer waiting time for service and employee work intensity as essential indicators of the queuing model. The simulation results show that the branch uses intelligent distribution is much more efficient than the traditional one. Customer experience and service efficiency are greatly improved.
基于中国智能银行网点排队系统的用户体验研究
随着互联网金融的发展,客户的行为和消费习惯发生了转变,给商业银行在中国的传统分支机构带来了新的挑战。银行网点面临着经营成本上升、利润下降、逐步被网上业务取代的压力。在智能经济的大趋势下,银行网点面临着重大的转型升级。网点将逐步从传统的业务交易中心向产品营销和客户体验中心转变。分支机构的智能化升级和转型对加快这一进程起着至关重要的作用。本文的研究重点是智能分支机构的用户体验,并随着智能社会的发展趋势进行调整。研究智能支点的智能分流预处理,建立智能排队模型,建立移动预约系统控制排队。在银行虚拟仿真系统下,对智能模型与传统模型进行了比较。将顾客等待服务的时间和员工的工作强度作为排队模型的基本指标。仿真结果表明,采用智能分配的分支机构比传统的分支机构效率高得多。大大提高了客户体验和服务效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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