AiKF (Love Customer Service) Intelligent Robot + Cloud Platform is a professional intelligent customer service platform based on the SaaS cloud service architecture independently developed by Huilan Technology Co., Ltd. It aims to help small and medium-sized enterprises improve customer service efficiency, reduce labor costs, and enhance corporate performance. The AiKF intelligent customer service system is a customer service system that integrates AiKF intelligent robots, human customer service, and work orders. It embodies the latest artificial intelligence technology achievements of Huilan Technology Co., Ltd and the three joint laboratories established with Tsinghua University, Harbin Institute of Technology and Peking University, and is committed to creating a customer service platform with semantic understanding intelligence, professional customer service, natural man-machine interaction, simple system use, and user-friendly experience for customers.
Standardized service
Maintaining consistent and stable service quality; standardizing processes, Q&A, and communication, to improve customer satisfaction
Efficient responsiveness
Increase connection rates, provide emotionless 7x24 hour uninterrupted service, and significantly improve the efficiency and quality of communication on the line
Intelligent experience
Speech recognition, semantic analysis and self-learning knowledge recommendation make problem hit more accurately.
Omni-channel takeover
We provide full domain and channel coverage, including hotlines, PC, H5, APP, WeChat, Weibo, etc. for unified management and maintenance.
Sustainable improvement
Our self-learning knowledge base is constantly being improved, and our comprehensive statistical functions provide strong decision-making support for call services.
Low-cost operation
Robot customer service can reduce the number of human customer service personnel by 30% to 80%, lowering training, management, and infrastructure costs.
Channel Access Management
Knowledge Base Management
CRM (Customer Relationship Management)
Work Order Management
Customer Service Management
Workbench Management
Data Statistics
Conversation Monitoring