AiKF Intelligent Customer Service System is a professional, intelligent and caring online intelligent customer service platform. It adopts a three-in-one customer service system of intelligent robots, human customer service, and work orders, and supports AI-based online customer service for PC websites, WeChat public accounts, mini-programs, apps, Weibo and other Internet channels. It is the result of deep semantic interaction NLU technology co-developed by Huilan and three joint laboratories with Tsinghua University, Harbin Institute of Technology, and Peking University. The system has a 95% robot-to-human customer service replacement ability, and is an online AI customer service platform that operates 24/7 without stopping. The product has already covered more than 30,000 customers in various industries such as e-commerce, education, finance, government, and travel.
Omni-channel: Bi-directional, interactive and omni-channel (PC, mobile, telephone, etc.) conversation service of all media types. 24/7 uninterrupted service 
Intelligence: Intelligent semantic understanding, conversion and deep neural network algorithms 
Humanization: Customizable professional knowledge base, custom word libraries and dictionaries, customizable sensitive word management, humanized robot role 
Rich media display for a more intelligent experienceRich media display for a more intelligent experience 
Omnichannel support for more convenient serviceAiKF provides channel support and users can interact with the intelligent robot in real-time via the web, WeChat, mobile apps, email, phone, and SMS anytime, anywhere. 
Robot + human support for lower costsAiKF provides 7x24 online Q&A, helping customers reduce 80% of the cost of human customer service. For questions that the robot cannot answer, the system automatically transfers the conversation to a human agent to resolve. 
Self-learning system for smarter serviceAiKF uses online learning algorithms to achieve self-adaptive, dynamic, and incremental machine learning capabilities for intelligent robots, ensuring the gradual improvement of the system and becoming smarter over time. 
Ontology-based methods for agile knowledge base constructionAiKF applies new knowledge ontology-based methods for efficient knowledge instance accumulation and expression, enabling faster knowledge base building based on the customer's historical data and reducing the construction cycle by 30%. 
Comprehensive problem-solving for richer answersAiKF provides users with comprehensive answers through three answer approaches, namely, the knowledge base, business system database, and enterprise-level search. It offers different types of answers to cater to different question types and meet customers' overall demands 
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