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SMP AI Predict

Predict issues. Prevent disruption. Deliver proactive service.

Most service providers only discover customer issues after subscribers contact support. By then, operational costs have already increased and customer satisfaction has already declined.

SMP AI Predict helps communication service providers move from reactive support to predictive care. Using Agentic AI, machine learning and operational intelligence, SMP AI Predict continuously analyzes network, device, customer and service data to identify subscribers at risk of service degradation and automatically execute preventative actions before issues impact customers.

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Key Capabilities

Predictive Customer Care

Identify subscribers likely to experience service issues before contact centre calls are generated.

Multi-Source Intelligence

Analyze telemetry, customer interactions, device data, network events and operational information in real time.

Automated Remediation

Trigger workflows that proactively resolve issues, notify customers or dispatch operational actions automatically.

Event Intelligence

Correlate conditions across services, networks and devices to identify emerging risks and business impacts.

Continuous Learning

Improve prediction accuracy over time using operational outcomes and machine learning feedback loops.

Telecom Use Cases

Broadband service degradation

Wi-Fi performance issues

Mobile experience monitoring

IPTV quality assurance

Network event correlation

Customer impact prediction

Proactive customer outreach

Service assurance automation

Business Outcomes

Reduce inbound call volumes

Decrease truck rolls

Reduce customer churn

Improve service reliability

Increase customer satisfaction

Lower operational costs

Why Predictive Care Matters

Every avoided customer issue represents a cost saving and a customer experience improvement. By combining prediction, prevention and automation, SMP AI Predict helps service providers resolve issues before subscribers are aware they exist and creates the foundation for autonomous service operations.

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