Service Provider Solutions

Enabling Smarter Broadband Operations for Global Service Providers

Customers’ perception of their service provider is often unsatisfactory.  Customers experience slow browsing and glitchy videos all too often.  Some service providers have recognized the power of machine learning to predict network and equipment service issues but have found the development of this time-consuming and resource-intensive.

Ayla’s AI Platform solves all that.  We can get you going in as few as three weeks.  With a pre-built solution that predicts and prevents network and equipment issues with remediation and root-cause analysis, our customers have seen dramatic service cost reductions in the range of 15-25%.  Leveraging the outcomes and findings of a global network of Service Providers, Ayla’s solution continuously improves to identify anomalies quickly as new equipment is added and new patterns emerge addressing issues related to the core network, home network, CPE, and WiFi.  This results in a great customer experience, higher NPS, and lower customer service costs.

Predict & Prevent Issues

Imagine solving network and equipment issues before customers are impacted. No phone call.  No truck roll. Customers are happy, and you will experience higher NPS scores and much lower customer churn. Ayla's AI Platform predicts and prevents network and equipment service issues with remediation and root-cause analysis.

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    Library of pre-built ML models to predict issues for top call drivers across WiFi, Home Networking, and CPE Performance.
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    Anomaly detection quickly finds, analyzes, and fixes previously undetected CPE firmware and home network issues.
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    A unified recommendation engine prioritizes the best actions, individualized for each home.
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    Savings calculator shows proven value by looking at actual call center data to determine impacts of proactive actions.

Empower Your Customers

Take self-service to the next level by providing predictive messaging directly to your customers to solve issues before they occur. Enable customers to solve problems faster, in their own timeframe. All of which reduces truck rolls by encouraging customers to perform self-remediation solutions that would otherwise require a local technician.

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    Advanced ML predicts the best set of actions to take for each device and user.
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    Enable AI-driven self-service interactions into mobile, device, and voice applications via simple SDKs or Restful APIs.
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    Supports leading consumer ecosystems including Alexa, Google Assistant, Siri, iOS, Android, and the Matter standard.

Realize Benefits Quickly & Economically

See positive results in as few as three weeks, with a robust set of out-of-the-box analytic models using your existing data collection tools.  Leverage the outcomes and findings of a global network of Service Providers and the findings of millions of CPE and home network devices, expanding beyond your local network.  Identify anomalies quickly as new devices are added and new patterns emerge.




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Library of pre-built ML models trained across millions of existing devices

New ML models and anomaly detection modules continuously introduced and enhanced

Cohort analysis and anomaly detection enables quick resolution of issues caused by new CPE, device, and firmware launches

Easy and secure processing, cleaning, and feature engineering of existing data sources including CPE, STB, WiFi, and Core Network data

Fully cloud-based solution enables quick time to launch. No need to install software on CPE devices.

Helpful Resources

BLOG

A New Analytics-powered CX-centric Model is Driving Service Provider Transformation

Ayla has released a powerful new analytics-based solution, TransformAI, that applies the power of machine learning to big data gathered from devices in the customer home network

READ BLOG POST