AI-driven network troubleshooting with
Network Advisor
Prevent issues from escalating
AI-powered network operations solution for telecom operators
Network Advisor is designed for engineering teams, enabling them to diagnose and resolve complex network issues efficiently.
By providing actionable insights and recommendations, it empowers engineers to address problems with greater accuracy and speed.
Leveraging multiple data sources and advanced machine learning, Network Advisor offers a comprehensive, real-time view of network health, facilitating informed decision-making and strategic planning.
The result? Enhanced diagnostic accuracy and improved staff productivity through AI-driven insights.
Advanced Analytics
It combines the expertise of experienced network engineers with machine learning to analyze multiple network data sources, identifying patterns and anomalies that may indicate underlying issues.
Actionable Recommendations
Provides engineers with clear, data-driven guidance for resolving identified network problems.
Comprehensive Network Visibility
Offers a holistic overview of network performance, enabling proactive maintenance and strategic optimization.
Discover Network Advisor
What benefits can you expect?
More Accurate
Consistency
Manual Effort Reduction
Staff Productivity
Use Cases
Congestion
Network overloads root cause analysis
RTWP
External interference and faulty equipment detection
Sleeping cells
Hidden faults and misconfigurations in active cells malfunctioning
Traffic and Throughput
Traffic volume and user throughput loss root cause analysis
Access Failure and Drop Call rates
Degraded performance of users calls and sessions
Mobility
Handover-related problems impacting on service continuity
Transport network issues
Backhaul-related issues disrupting RAN traffic volume
Network Advisor
Frequently Asked Questions
How does Network Advisor work?
Network Advisor is designed to fit within an operator organization’s daily workflow on network performance and troubleshooting processes. Network Advisor connects to relevant data sources, key ones being configuration, topology and network counters and KPIs. The AI Engine correlates data from multiple sources to automate the detection, troubleshooting and action recommendations for network performance issues.
How does Tupl SaaS work?
Tupl solutions are delivered in cloud service (e.g. AWS, GCP, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.
What type of root causes does this solution address?
Apart from above introduced use cases, one key design principle of our solutions is flexibility, so as long as the proper data sources are integrated, any root cause that is relevant to you can be addressed.
My organization does not have data science skills. How steep is the learning curve for this solution?
No coding skills or database modelling are required. This solution relies upon TuplOS, which is a platform designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work. Tupl can guide you through the process via a coaching and training program from our services team.
What other systems can work with this solution?
Tupl solutions are conceived to work in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.