The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
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AI-powered Customer Experience Management running on Red Hat OpenShift, correlating network performance with customer behaviour and device insights for proactive, end-to-end service assurance.
NIx CEM is an advanced Customer Experience Management solution built on Red Hat OpenShift and powered by Red Hat AI, delivering end-to-end visibility across service assurance, customer journeys and experience optimisation. By correlating RAN, core and transmission performance with customer behaviour, device intelligence and service quality metrics, NIx CEM enables predictive churn analysis, proactive issue resolution and autonomous customer service automation. Underpinned by NIx PM's multi-vendor KPI engine supporting Ericsson, Nokia, Huawei, ZTE, Cisco and Samsung and agentic capabilities including natural language insights, RCA and automated ticket handling, NIx CEM accelerates the journey from reactive fault management to intelligent, AI-driven customer operations.
NIx CEM links network performance across RAN, core and transmission with customer behaviour, device insights and service quality metrics — delivering end-to-end visibility across the full customer journey. Cross-domain correlation powered by NIx PM's advanced KPI engine ensures no blind spots in service assurance.
AI-powered churn prediction identifies at-risk customers based on service degradation patterns before they complain or leave. Automated retention trigger points, early intervention strategies and customer value segmentation enable proactive retention — running on Red Hat AI for continuous model improvement.
Pre-complaint issue detection, automated customer contact triggers and real-time service degradation alerts transform support from reactive to autonomous. NIx CEM's integration with NIx PM's multi-vendor KPI engine — supporting Ericsson, Nokia, Huawei, ZTE, Cisco and Samsung — ensures issues are caught at the network layer before customers notice.
Device performance benchmarking, connection quality analysis by device model, firmware version impact analysis and data-driven hardware recommendations give operators granular visibility into how device estate affects customer experience — enabling targeted interventions that improve satisfaction without network changes.
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NIx CEM runs on Red Hat OpenShift Container Platform (version 4.10 or later) and uses Red Hat AI for churn prediction, anomaly detection and customer behaviour modelling. OpenShift provides the containerised runtime and orchestration, while Red Hat AI powers the ML inference engine for real-time customer experience scoring. OpenShift AI is recommended for teams who want to manage, retrain or extend models directly within their cluster.
NIx CEM integrates with CRM systems, billing platforms, device TAC databases and IMSI/MSISDN mapping tables to correlate network events with individual subscribers. This enrichment layer — built on NIx ML Store — enables per-customer service quality scoring, device performance benchmarking and corporate account dashboards. Integration with existing OSS/BSS systems is handled by Future Connections during onboarding.
The churn prediction model is powered by Red Hat AI and trained on historical service degradation patterns correlated with customer behaviour. During a 4–6 week initialisation period it establishes baseline behaviour per customer segment, then continuously scores churn risk in real time. Automated retention trigger points can be configured to fire alerts or CRM actions when a customer crosses a defined risk threshold. Model accuracy improves continuously through adaptive learning from operator feedback.
NIx CEM includes six insight modules targeting different user personas: Network analysis insights for engineering teams, Device insights for capacity and hardware planning, Network operations insights for NOC teams with impact-based issue prioritisation, Customer analysis insights for support specialists with per-customer service history, Interconnect insights for revenue assurance teams monitoring partner SLAs, and Corporate insights providing exportable account-level performance reports for business and account management teams.