Virtual Assistant Prototype for Property Sales

Arya Sanjaya, H. Santoso
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Abstract

Artificial Intelligence technology, especially digital language processing, can be used to develop a prototype of the Virtual Sales Assistant in Property Project’s House Show Unit which aims to help improve the sales process. Google Dialogflow applied intelligence technology was used to build this Virtual Assistant with complete features and abundant information base processing capabilities. However, to speed up the Virtual Assistant development, the knowledge base of project could be intensively being used. The use of the information base is adjusted to the advanced parameters of the Conversation Agent development by creation of Persona, Information Availability, and Question Models. The Virtual Assistant outputs in the form of a text and voice conversation bot. The use of the information base results in relatively quick and easy prototyping with accurate recognition of text and voice conversations. The accuracy of speech recognition based on text and voice also depends on setting the dependency of the prototype on the information base, the completeness of the data from the information base, and the conversational language library. Virtual Assistant for House Show Unit in property sales can be created easily and quickly using the available information base and the use of artificial intelligence-based prototypes can be extended to commercial models and other fields.
房地产销售虚拟助理原型
人工智能技术,特别是数字语言处理,可用于开发房地产项目房屋展示单元的虚拟销售助理原型,旨在帮助改善销售流程。本虚拟助手采用Google Dialogflow应用智能技术构建,功能齐全,信息库处理能力丰富。然而,为了加快虚拟助手的开发,可以集中利用项目知识库。通过创建角色、信息可用性和问题模型,将信息库的使用调整为会话代理开发的高级参数。虚拟助手以文本和语音对话机器人的形式输出。信息库的使用使得原型设计相对快速和简单,并且能够准确地识别文本和语音对话。基于文本和语音的语音识别的准确性还取决于原型对信息库的依赖程度、信息库中数据的完整性以及会话语言库的设置。利用现有的信息库,可以轻松快速地创建房地产销售中的房屋展示单元虚拟助手,并且可以将基于人工智能的原型的使用扩展到商业模型和其他领域。
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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