Provides overall data-driven network operation and full-service perception experience service through deeply integrating of AI and big data, to achieve an integrated with intelligent monitoring, optimization, and enhancement of user satisfaction.
Quantified user experience perception with LLM to created a integrated wireless intelligent.
Provides intelligent support for multiple scenarios including planning and site selection, quality optimization, complaint handling, and scene guarantee.
Provides comprehensive lifecycle management capabilities for user perception optimization and wireless network planning, construction, optimization, and maintenance.
Builds AI+ agents to achieve a self-intelligent network closed-loop of perception, analysis, decision-making, and execution.
Layer-by-layer decomposition of the architecture to support cross-system convergence, interfacing and to adapt to multi-vendor network environments for a neutral perspective.
Enabling full-domain data integration to gain global insights into network and business domains, achieving value-driven and perception-oriented network quality improvement.
Implement Cost Reduction and Efficiency Enhancement
Improve Network Quality
Facilitate Digital and Intelligent Transformation
Create Digital Employees
The provincial branch of network optimization autonomous platform of a certain operator builds a wireless data warehouse through unified data collection and processing. Based on AI+ Agent and LLM to achieve intelligent identification, root cause localization, solution output, and effectiveness evaluation of wireless network issues. Adopted Q&A mode to support frontline complaint handling, fault operation and maintenance, and network optimization, thereby improving work efficiency.
ReTiNA&CEM intelligent customer service platform helps clients construct a user perception and satisfaction model to identify root causes of dissatisfaction. Categorized dissatisfied users into scenarios, enabling scenario-based and individual analysis to continuously improve overall network experience.
The operator's AI-driven group-level energy-saving system analyzes network performance, user experience, weather patterns, and holiday trends through its energy efficiency model. It then generates tailored energy-saving strategies and automatically activates sleep/wake cycles via command modules, enabling a fully autonomous closed-loop process for base station energy optimization.
Tel: (010)82166688
Fax: (010)82166699
Business Cooperation: marketing@asiainfo.com
Complaints Mailbox: AI_AC@asiainfo.com
Tel: (010)82166688
Fax: (010)82166699
Business Cooperation: marketing@asiainfo.com
Complaints Mailbox: AI_AC@asiainfo.com
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