Unlocking the Hidden Value of In-Home Network Data
Stop guessing. Start predicting with Axiros.
The era of guessing why customers are unhappy is over. The data exists; it is sitting in the devices in millions of homes. With Axiros providing the eyes and ears inside the home, and now Axiros AI providing the brain to interpret that data, the path towards using AI to predict and resolve issues proactively, retain customers for longer, and grow the business is actionable today.
The telecommunications industry has achieved remarkable success in delivering high-speed connectivity from the core network to the customer's doorstep. Operators today possess sophisticated tools to monitor infrastructure health, ensuring signals flow reliably from cell towers and fiber nodes. However, the true measure of service quality is no longer just about the connection reaching the home; it is about how that connection performs inside the home.
As digital lifestyles change, the home network has become a complex, dynamic ecosystem. It is shaped by physical layouts, diverse device types, and varying usage habits. While operators have long had visibility into the "last mile," the next frontier of profitability lies in leveraging the granular data generated by the devices themselves to enhance the customer experience.
The Complexity of the Modern Home
Home networks are not uniform. They are influenced by a wide array of variables that traditional network monitoring often treats as a single data point. Successful optimization requires understanding the nuances of environmental factors, device diversity, and usage patterns.
Accurate prediction models depend on ingesting diverse data streams to capture the full spectrum of performance influencers. In the European context, where housing structures and device densities vary significantly across regions, this breadth of data is essential. Without this granularity, operators risk applying generic solutions to highly specific problems.
The Cost of In-Home Challenges
Even with robust network monitoring, home network issues remain a primary driver of customer dissatisfaction. The causes of poor home network experience are clear; industry estimates suggest that up to 64% of calls to customer service centres are related to slow broadband speed, 40% relate to Wi-Fi device configuration/setup, and 38% to broadband latency. Research also estimates that by 2029, around 80% of customer issues will not need a human to resolve.
When customers experience slow speeds or dropped connections, they perceive it as a service failure. This perception drives a cycle of increased support costs and lost revenue.
The AI Opportunity
The solution lies in shifting from a reactive stance to a proactive one. By combining deep device insights with Artificial Intelligence (AI) and Agentic AI, telecom operators can transform from passive connectivity providers into proactive business partners.
Imagine an AI system that doesn't just see that a connection is "up," but understands that a specific device is consuming excessive bandwidth or that a router's firmware is outdated. By analyzing this data, AI can predict issues before they impact the user.
Agentic AI helps service providers get ahead of problems instead of just reacting to them. It can continuously monitor home network performance and network-side conditions, catching issues like a weak WiFi signal or a looming outage and either fixing them automatically or notifying the customer with a clear explanation and fix time — often before the customer even notices anything is wrong. It also goes beyond basic chatbots by acting as a smart, context-aware assistant that can solve problems, like diagnosing why video calls keep dropping, and either resolve the issue directly or hand it off to a technician with all the diagnostic details already gathered.
On top of fixing problems, agentic AI can spot them coming. By analyzing usage patterns and network data over time, it can identify customers likely to run into trouble — someone whose home network is being pushed beyond its limits, for example — and step in early with a helpful nudge, like recommending better equipment or a plan upgrade, rather than waiting for a complaint. Together, these capabilities mean fewer support calls, faster resolutions, and a smoother overall experience for the customer.
How Axiros Enables This Transformation
Axiros has long been at the forefront of providing the deep visibility required to navigate this complex landscape. Through its suite of products and leveraging its industry-leading protocol expertise, Axiros is now building custom AI models that can predict failures, optimize performance, and personalize offers based on actual usage habits.
Stop guessing. Start predicting with Axiros.