Use of Chatbot on Online Store Website as Virtual Customer Service to Improve Sales

Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020) Pub Date : 2021-07-19 DOI:10.2991/aebmr.k.210717.012

Y. Afandi, Maskur, Tri Ramadani Arjo

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引用次数: 1

Abstract

The rapid development of information technology is marked by the number of computer users for business purposes. An online shop is the activity of purchasing goods or services through the internet so that sellers and buyers do not meet in person. In this case, Customer Service is needed to serve prospective buyers. The online shop used in the case study is batik which sells batik products typical of Malang. In this study, the Virtual Customer Service prototype through the A.L.I.C.E (Artificial Internet Linguistic Computer Agency) knowledge base is a chatbot application that is currently being developed. A.L.I.C.E Chatbot knowledge base is based on AIML (Artifical Intelligence Markup Language). Conversations between prospective buyers and Virtual Customer Service with the aim that if the answers in the database are not found, it will add new knowledge by looking for information relevant to questions on the website. Prospective buyers can easily ask directly about the information on the online shop. With the use of chatbots that are equipped with artificial intelligence, it makes it easier for users to get information from a database that is informed to prospective buyers quickly with accurate answers to about 87% of questions and relevant answers. Keywords—information, chatbot, artificial intelligence, database

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在网上商店网站上使用聊天机器人作为虚拟客户服务来提高销售

以商业为目的的计算机用户的数量标志着信息技术的迅速发展。网上商店是通过互联网购买商品或服务的活动，这样卖家和买家就不用亲自见面了。在这种情况下，需要客户服务来服务潜在的买家。案例研究中使用的网上商店是蜡染店，销售麻郎典型的蜡染产品。在本研究中，通过A.L.I.C.E(人工互联网语言计算机代理)知识库的虚拟客户服务原型是目前正在开发的聊天机器人应用程序。a.l.i.c.e.聊天机器人知识库是基于AIML(人工智能标记语言)的。潜在买家与虚拟客户服务之间的对话，目的是如果在数据库中找不到答案，它将通过在网站上寻找与问题相关的信息来增加新的知识。潜在买家可以很容易地直接询问网上商店的信息。通过使用配备人工智能的聊天机器人，用户可以更轻松地从数据库中获取信息，该数据库可以快速通知潜在买家，并提供约87%的问题和相关答案的准确答案。关键词:信息，聊天机器人，人工智能，数据库

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Proceedings of 2nd Annual Management, Business and Economic Conference (AMBEC 2020)

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