Chatbot Auto回复Telegram应用于使用人工智能标记语言进行鞋业开发的业务

Fransisco Fransisco, F. Akbar, Sischa Kurniasari, Muhammad Ibnu Hibban, Teti Desyani, Endar Nirmala
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引用次数: 0

摘要

工人数量和客户需求之间的不平衡是当今商业行为者必须面对的问题。有了聊天机器人,它可以帮助商务人员处理成千上万的聊天,这些聊天来自想要询问销售产品的客户。聊天机器人还可以节省运营成本,并提供全天候的活跃服务。这可以间接地为客户提供到商店的连接。因此,本研究将讨论利用人工智能标记语言在电报上自动回复聊天机器人在鞋业销售业务发展中的应用。本系统涉及一个以网站为媒介的鞋业销售信息系统,向顾客提供相关的销售信息服务。还有一个聊天机器人,它实现了AIML(人工智能标记语言)系统,作为虚拟助手,连接客户和数据库中的信息。这个聊天机器人将响应客户提交的对话,除此之外,它还可以以销售数据中的信息形式检索数据。本系统采用Javascript、PHP、Python、PDO、MySQL等编程语言作为数据库进行设计。系统测试将显示销售信息系统网站在管理(创建,读取,更新,删除)客户数据,商品库存,销售商品和其他数据方面运行正常,而聊天机器人测试显示程序可以通过Telegram应用程序进行响应,从询问库存,商品价格或从数据库请求信息开始。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Penerapan Chatbot Auto Reply pada Telegram terhadap Pengembangan Bisnis Penjualan Sepatu Menggunakan Artificial Intelligence Markup Language
The imbalance in the number of workers and customer demand is a problem that must be faced by business actors today. With a chatbot, it can help business people handle thousands of chats from customers who want to ask about sales products. Chatbots can also save on operational costs and provide 24/7 active service. Indirectly this can provide customer connection to the store. Therefore, this study will discuss the Application of the Auto Reply Chatbot on Telegram to the Development of a Shoe Sales Business Using Artificial Intelligence Markup Language. This system involves a shoe sales information system website as a medium to provide services to customers related to sales information. And a chatbot that implements an AIML (Artificial Intelligence Markup Language) system as a virtual assistant that connects customers and information from the database. Where this chatbot will respond to conversations submitted by customers, besides that it can also retrieve data in the form of information in sales data. The system which is designed using the Javascript, PHP, Python, PDO, and MySQL programming languages as the database.System testing will show that the sales information system website is functioning properly in managing (Create, Read, Update, Delete) customer data, stock of goods, goods sold and other data, while the Chatbot test shows that the program can respond via the Telegram application, starting from messages asking for stock, item prices or requesting information from the database.
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