Service Improvement & Complaint Reduction
Solved internet service latency issues in local government aggregation networks using BQN Platform's AI algorithms, resulting in increased productivity and reduced complaints.
Current Status & Challenges
- Need to identify exact causes of recurring internet speed latency
- Need to resolve persistent internal user dissatisfaction and IT support burden
- Need to improve work productivity affected by slow connections in branch offices
BQN Deployment Environment
- Transparently connected between switches in Bridge Mode
- Optimized and accelerated traffic in branch aggregation sections
- Real-time user traffic monitoring and automatic congestion control
BQN Core Operational Technology
TCP Optimization & Acceleration
Maximizes data transfer efficiency by minimizing packet loss and accelerating response speeds.
Automatic Congestion Management (ACM)
Self-learns and manages network states through ML-based automatic congestion management.
Plug-N-Play
Provides immediate performance improvement by simply connecting devices without changing the existing NW environment.
Daily Complaints Before vs After Deployment
Achieved 0 latency complaints after operation began
Download/Upload Performance Improvement Rate
Average 31% performance increase after BQN application
Deployment Results & Operational Effects
Innovation in User Satisfaction
After BQN implementation, internal user complaint calls regarding network latency were completely eliminated.
Securing Intelligent Stability
Stable service is maintained even during unexpected traffic surges through the ML-powered ACM feature.
Enhanced Productivity
Business and internet connection speeds significantly increased, improving actual task processing speeds for employees.