ML-powered Optimization Engineering Advisor
with Automatic Action Plans
Challenges solved by Network Advisor
Too many manual tasks
Design, troubleshooting, optimization, customer and VIP complaint reviews
Insufficient action plan tracking
Not solved the first time, time wasted in monitoring & tracking
Never-ending network transformations
Upgrades, vendor swaps, marketing proposals, legacy shutdowns, etc
Slow, legacy, malfunctioning systems, multiple providers
Benefits of using Network Advisor
Faster, 100% consistent, discover unseen issues
2.5x productivity improvement, 60% manual effort reduction
Unleash Your Engineers
for deep investigative higher-value tasks
Network Advisor SaaS Packages
Immediate value delivery
SaaS Package Options
Cell level 4G Low Throughput detection with automatic root cause analysis
Voice Drop Call Rate
Cell level high VoLTE DCR and absolute number of drops cases detection
Cell level high proportion of Low SINR samples detection
Inter-layer Throughput Imbalance detection with automatic classification of root causes
Frequently Asked QuestionsNetwork Advisor
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
Network Advisor SaaS is delivered in cloud service (e.g. AWS, Azure, etc.) and can also be deployed on-premises, in your private cloud or data center.
It is easy and quick to get started, fit for a faster procurement process, with a functional solution in operation within a week.
Monthly subscription. No strings attached. Stop at any time.
One key design principle of the system is flexibility, so as long as the proper data sources are integrated, and enough training samples are provided, any root cause that is relevant to you can be addressed.
It typically depends on a combination of targeted number of root causes, number of features required to model them and the number of available samples to train the system. Some of the models created by Network Advisor have reached over 90% accuracy.
Not at all. Network Advisor leverages unsupervised clustering techniques to detect group issues with similar patterns and helps you analyze as many problems as required to train your model in the most efficient way.
Network Advisor works in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.
No coding skills or database modeling are required, only general concepts from data science are advisable to make the most of the system. Network Advisor relies upon TuplOS, Tupl's AI engine, which is a set of utilities 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.
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Part of the research behind this solution has been developed together with the University of Málaga as part of the project NEREA, which is funded by the Spanish Ministry of Science and Innovation and the European Regional Development Fund