创新及科技解决方案

解决方案编号

S-0082

解决方案名称

智能聯絡中心和客戶互動解決方案

解决方案描述

The solution aims to solve the pain point of departments running a contact center. Our solution provides a 24x7 A.I. virtual assistant to handle inquiries in Chinese, Cantonese and English. The assistant can also be trained to follow up with the users. Departments can integrate the virtual assistant on multiple platforms such as WhatsApp, WeChat, Messenger, Websites and Mobile Apps as an effective engagement tool with the users. When the assistant does not know the answer, it can redirect to a human. Both voice and text are supported.

应用领域

广播

工商业

财经

使用的技术

人工智能

数据分析

深度学习

机器学习

自然语言处理

使用例子

The A.I. Contact Center and User Engagement Solution improves the quality of public services in mainly five areas,


1) 24X7 automated handling of complaints and inquiry

The solution provides real-time response to inquiries across various channels, powered by a centralized natural language processing engine.

2) Integration with Live Chat solutions to provide

The solution is integrated with many live chat solutions that can utilize skill-based routing to escalate the inquiry to human agents to handle. The responses provided by the human agent can be used to train the NLP service to handle in the future.

3) NLP Document Search

The solution can perform document search on forms, articles, and policies to find the most relevant information for the user inquiry. Compared to tradition keyword search, NLP search improves search accuracy by understanding searcher intent and the contextual meaning of the inquiry.

4) Centralized knowledge base for human agents and A.I.

The NLP services can also be used for the human agents to find the best answer when they handle public complaints. For human agent, they can utilize our solution to manage knowledge base, search handled inquiry cases, perform analytics in a single system.

5) Quality control and analytics

The solution provides insights and reports on the quality of the customer service for various complaints or inquiries, the percentage of inquiries being automated and highlight inquiries that require improvements.

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