Case Studies
Saisei FlowCommand
Maximize business outcomes with a proven network optimization solution deployed across diverse industries.
Case Studies by Industry
Samsung Electronics
Global manufacturer Samsung Electronics dramatically improved leased-line efficiency across more than 100 overseas offices by optimizing its network infrastructure, while deferring costly capacity upgrades to achieve significant cost savings.
Challenge
As a global manufacturer operating more than 100 overseas offices, Samsung Electronics relies on real-time data exchange between headquarters and subsidiaries as a core competitive advantage. Rising costs for premium leased lines and surging network traffic made improving efficiency an urgent priority — especially for the reliable transmission of business-critical data such as production schedules, ERP records, and real-time supply-chain information.
Solution Implemented
Before FlowCommand, peak congestion periods caused frequent degradation of key business applications, poor video-conferencing quality, and delays in large file transfers. Rather than immediately expanding leased-line capacity — a costly option — the IT team first looked for ways to optimize the existing infrastructure, which led to the FlowCommand deployment.
Key Results
Overseas Leased-Line Infrastructure Optimization
- Up to 40% improvement in leased-line efficiency
- Bandwidth control via hierarchical QoS (H-QoS)
- 65% reduction in network incident rate
- Real-time traffic analysis for proactive bottleneck detection
- Region-specific traffic pattern learning for tailored optimization
- Intelligent application-aware routing
Business Performance
- Improved response times for core business applications
- Guaranteed stability for global video conferencing
Coupang
South Korea's largest e-commerce company solved network overload and customer-experience degradation caused by explosive growth — now delivering stable service even when promotional-period traffic spikes 500%.
Challenge
Coupang, South Korea's largest e-commerce company and a growing global player, successfully deployed FlowCommand across its multi-network environment to address network overload and customer-experience degradation driven by explosive growth. Prior to deployment, Coupang struggled with service latency and network instability during traffic surges — particularly during peak shopping seasons.
Solution Implemented
FlowCommand was deployed across Coupang's shopping, logistics, and global connectivity networks, applying optimized traffic management policies to each domain. Automatic congestion control and per-application priority settings improved line utilization by 30%.
Key Results
Shopping Network
Stable service delivery even during peak customer traffic surges.
Page load times maintained under 2 seconds even when promotional traffic reached 500% of normal volume, boosting purchase conversion rates by 15%.
Logistics Network
Real-time inventory management and delivery system optimization.
Real-time data synchronization across 12 fulfillment centers on 5 continents achieved 99.8% inventory accuracy and reduced delivery errors by 40%.
Global Connectivity
Guaranteed quality of connectivity between international offices for improved operational efficiency.
45% latency reduction improved global video-conferencing quality and accelerated international transaction processing.
These network optimizations delivered an estimated annual operating cost saving of approximately KRW 2 billion.
Kyongnam Bank
Kyongnam Bank deployed the Saisei solution across the financial infrastructure connecting 364 branches and more than 1,500 ATMs nationwide, achieving a 98% improvement in headquarter-to-branch leased-line stability.
Challenge
Kyongnam Bank needed to improve the stability and performance of the financial infrastructure connecting 364 branches and more than 1,500 ATMs nationwide. Key priorities included real-time processing of financial transactions and elevating the quality of customer service.
Solution Implemented
Following a three-month pilot beginning in Q4 2021, FlowCommand was successfully rolled out across the entire network. The deployment focused on automatic congestion control and guaranteed priority for business-critical applications.
Key Results
Automatic Congestion Control
Financial transaction traffic is automatically prioritized during network congestion, ensuring uninterrupted service.
99.99% service availability maintained even during peak traffic periods such as month-end and year-end settlement runs.
Business Application Priority Assurance
35% improvement in core financial system response times, reducing customer wait times.
Average teller transaction time cut from 2 minutes 7 seconds to 1 minute 23 seconds, boosting customer satisfaction.
In the first year after deployment, customer complaints related to network congestion fell by 94% year-over-year.
Samsung Medical Center
Samsung Medical Center significantly improved the stability and speed of its wireless internet service through a comprehensive network infrastructure optimization, delivering a better digital experience for patients and visitors.
Challenge
The expansion of digital healthcare services and the growing use of mobile devices by patients and visitors created urgent demand for improved wireless network stability and performance at Samsung Medical Center. Effectively managing and separating the clinical staff network from the patient/visitor network was a key operational challenge.
Solution Implemented
FlowCommand was deployed to optimize the entire hospital network infrastructure. Clinical traffic and patient/visitor traffic were effectively segregated, with tailored policies applied to each segment.
Key Results
Improved Wireless Network Quality for Patients and Visitors
A comprehensive optimization of the hospital-wide network infrastructure significantly improved the stability and speed of the wireless internet service available to patients and visitors. Connection drops and access delays that had previously occurred frequently were markedly reduced, providing a smoother and more comfortable internet experience throughout the facility.
In particular, the growing network demand driven by increased use of mobile devices and digital healthcare services has been effectively accommodated, enabling stable, high-quality IT services for both patients and their families — and contributing to an overall rise in visitor satisfaction.
Public Procurement Service
The Public Procurement Service reduced network bottlenecks by 85% through real-time traffic analysis and automatic congestion control, while guaranteeing priority network resources for mission-critical procurement systems such as KONEPS.
Challenge
The Public Procurement Service operates KONEPS and a range of other procurement platforms, facing network overload from bid-deadline traffic surges and heavy document processing volumes. Efficient operation of both administrative and public-facing networks — alongside strengthened security — was an essential requirement.
Solution Implemented
FlowCommand was deployed to implement automatic congestion control, application-level priority assignment, and business traffic optimization. A machine-learning-based traffic pattern prediction and proactive response system was integrated to handle bid-deadline traffic spikes effectively.
Key Results
Automatic Congestion Control
- 85% reduction in bottlenecks through real-time traffic analysis
- Machine-learning-based traffic pattern prediction and proactive response
- Stable bandwidth secured even during peak load periods
- Automated region-specific traffic management optimization
Application Priority Assignment
- Network resources prioritized for critical business systems
- Top-priority bandwidth guaranteed for KONEPS and other essential procurement platforms
- 5-tier priority framework based on business criticality
- Automatic priority adjustment based on time-of-day traffic patterns
Business Traffic Optimization
- 67% improvement in processing speed through logical separation of administrative and public-facing networks
- Minimized cross-interference between internal and external networks via logical segmentation
- Dedicated paths provisioned for high-volume data processing
- Real-time monitoring for immediate response to anomalous traffic patterns
Yeonsung University
Yeonsung University installed FlowCommand on its campus backbone, reducing online-lecture platform buffering by more than 90% and absorbing more than twice the previous traffic volume without any additional bandwidth investment.
Challenge
After COVID-19, the expansion of online instruction and the surge in on-campus digital device usage caused network traffic to spike sharply at Yeonsung University. Key challenges included congestion on online-learning platforms during class hours and excessive entertainment traffic on the dormitory network degrading the performance of educational applications.
Solution Implemented
FlowCommand was installed on the campus backbone and a behavioral pattern-learning model was built to differentiate educational and non-educational traffic. Time-of-day differentiated policies and an automated policy-change system integrated with the academic calendar were implemented to manage network resources efficiently.
Key Results
Campus Network Automatic Congestion Control
- Behavioral pattern-learning model built to differentiate educational and non-educational traffic
- Time-of-day differentiated policies applied (class hours vs. non-class hours)
- Automated policy-change system integrated with the academic calendar
- Fair-use policy enforced per user on the dormitory network
Key Improvements:
- Online lecture platform buffering reduced by more than 90%
- Perceived Wi-Fi speeds improved during peak hours
- Consistent quality of service for educational applications
- Network-related IT helpdesk tickets reduced by more than 80%
- More than double the previous traffic volume absorbed without additional bandwidth investment
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Customer Performance Statistics
42%
Average Network Efficiency Gain
31%
Average Network Cost Reduction
67%
Average Latency Reduction
94%
Customer Satisfaction
Performance Comparison by Industry
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