SELF-SERVICE NETWORK TROUBLESHOOTING
Metricell’s Status Checker AI allows mobile and fixed network operators to jump into artificial intelligence (AI) and robotic process automation; guaranteed to achieve a large operational cost saving and improved customer satisfaction. Status Checker empowers subscribers to self-serve their network-related complaints, thereby reducing traffic to the contact centre whilst simultaneously giving the subscriber faster, better quality information. This digital solution incorporates predictive analytics, machine learning, and robotic process automation to seamlessly integrate across various touchpoints such as the website, IVR, mobile billing/VAS app, and chatbot. It can even be deployed in the form of an AI-powered virtual assistant avatar.
Regardless of the chosen communication channel, subscribers receive a consistent message. By utilising the latest available information, they can query the status of their expected service at a specific location and receive immediate feedback. Moreover, Status Checker AI caters to the customer service needs of Mobile Virtual Network Operators (MVNOs). Although MVNOs may not have the same infrastructure management responsibilities as fixed or mobile operators, gaining strong insight into network performance and experience is crucial for attracting and retaining customers. By leveraging the digital contact centre capabilities, MVNOs can also make significant improvements to both customer service experience and operational metrics.
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Reduce network related inbound calls by 40% and technical escalations by 70%
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Expand your operational capabilities and leverage the latest AI-powered technology to achieve large-scale process automation.
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Provision timely and accurate information to customers during national, regional, or site-based outages.
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Empower customers to self-serve and subscribe to location-specific updates.
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Reduce the contact centre’s workload and the need for technical escalations.
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Differentiate from competitors by fostering transparency with the customer base.
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Utilise machine learning to pull insights from data and identify emerging problems impacting your subscribers.
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Customer self-service checking capability for real-time experience insights.
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Integration across voice and digital communication touchpoints as required.
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Automatic messaging that proactively inform customers based on their defined locations.
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Flexibility in search terms, functions, and enrichment based on local conditions and data sources.
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Seamless deployment aligned with security protocols, designs, and processes.
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Communications management across all touch-points as it relates to network quality and performance.
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Fully autonomous self-serve capabilities for subscribers and contact centre staff.
