Based on the customer’s ECS, it realizes the operations and operating goals such as rapid positioning of network problems, customer retention, and improvement of customer satisfaction.
Different from general AI and machine learning algorithms, AISWare CEM’s AI and machine learning engine fully considers the network and business characteristics of operators, which is more suitable for processing customer experience data in the telecommunications field and forms effective algorithm models. It is a new generation of intelligent engine tailored for the perception management for operator customers.
By giving full play to its product advantages and practical experience in CRM field, AsiaInfo accurately correlates the network domain data with the business domain data of CRM to obtain customer end-to-end perception analysis through cross-domain integration, making the analysis results more comprehensive and accurate, and also providing application and implementation opportunity for the BIT and multi-domain integration pursued by operators.
The AI and machine learning algorithms based on telecommunications psychology quantify user experience and perception, and realize the root cause analysis of various customer experience problems: Intelligent analysis of problems such as “slow Internet service”, “poor signal”, “many call drops”, etc. to provide suggestions for reference and basis, and assist in rapid resolution.
Connecting the O domain and B domain data on the basis of network technology middle-ground to provide a global perspective of customer experience;
The AI and machine learning algorithms based on telecommunications psychology quantify user experience and perception, and the root cause analysis algorithm of various customer experience problems:
Working with operators to coordinate the integration and data analysis of multi-vendor network elements and equipment from a neutral perspective, and sharing the analysis results with various units and disciplines through the API network management at PaaS layer