Unlocking Network Experience: How QoE AI Insights Transforms Telecom Visibility for MVNOs and MNOs
- Gareth Price-Jones
- 2 days ago
- 3 min read
Telecom operators don’t suffer from a lack of data—they suffer from a lack of clarity. Networks generate vast volumes of KPIs, logs, xDRs, alarms, and device‑level signals, yet turning this noise into actionable intelligence remains one of the industry’s hardest problems.
This challenge is even sharper for MVNOs, who depend on host networks but often lack meaningful visibility into the RAN and core performance that shape their customers’ experience.
QoE AI Insights was built to solve exactly this. The platform uses AI‑driven Quality of Experience scoring, smartphone‑based inferencing, and Microsoft Fabric’s unified analytics foundation to deliver a complete, privacy‑first view of how subscribers actually experience the network.
It shifts operators from KPI‑centric thinking to experience‑centric operations, where decisions are driven by what customers feel—not what counters say.
What Is QoE AI Insights?
QoE AI Insights is an AI‑powered analytics platform that transforms everyday smartphone activity into crowdsourced, real‑time QoE intelligence. Instead of relying solely on traditional network KPIs, it measures what truly matters: the user’s lived experience.
At its core, the platform:
Uses on‑device AI inferencing to evaluate network performance without collecting personal data
Generates QoE scores that reflect real user experience across apps, services, and locations
Integrates deeply with Microsoft Fabric for scalable analytics, geospatial mapping, and multi‑source correlation
Provides MVNOs and MNOs with clear, actionable insights into performance issues, coverage gaps, and customer‑impacting degradations
The result is a powerful, privacy‑respecting, and highly scalable way to understand network quality from the subscriber’s perspective.
Device‑Side Options for the QoE AI Agent
QoE AI Insights offers flexible deployment models to capture experience data across smartphones, embedded systems, and IoT devices. Operators can choose the option that best fits their product strategy, app ecosystem, or device fleet.
1. Full iOS & Android App
A standalone, full‑featured application delivering the richest QoE intelligence:
End‑to‑end QoE scoring across apps and services
Background inferencing with minimal battery impact
Geospatial experience mapping
Optional customer‑facing UX for MVNOs/MNOs
Ideal for crowdsourcing, field‑force testing, and MVNO benchmarking
2. SDK Integration (Framework for iOS, Library for Android)
For embedding QoE intelligence directly into existing apps like:
Carrier customer care apps
eSIM management portals
Field‑force tools
OEM firmware or MVNO self‑care apps
SDK modules include:
Radio condition inference
QoE scoring
Event reporting
Geolocation mapping
Privacy and consent controls
Operators retain full control over UX and branding while enabling background telemetry.
3. SIM‑Based Applet (IoT & M2M Devices)
For IoT deployments where smartphones aren’t present:
Runs directly on the SIM
Monitors radio conditions and session stability
Zero OS or app dependency
Ideal for smart meters, asset trackers, industrial sensors, connected vehicles
All three device options feed into the same Fabric‑powered analytics layer, enabling unified QoE scoring and root‑cause analysis across consumer, enterprise, and IoT domains.
Deep Network Intelligence: Fabric‑Powered Root‑Cause Analysis
QoE AI Insights becomes exponentially more powerful when paired with Microsoft Fabric, which unifies data from across the network into a single analytical plane.
Fabric ingests and correlates:
PGW / UPF xDRs (session events, QoS flows, throughput, latency)
Core KPIs (AMF/MME, SGW/UPF, PCF/PCRF, IMS metrics)
RAN counters and performance indicators
Network alarms and fault events
OSS/BSS data (tickets, provisioning, customer interactions)
External datasets (weather, mobility, population density)
This enables true root‑cause analysis:
Pinpoint whether degradations originate in RAN, core, transport, device, or external factors
Correlate QoE dips with specific alarms or congestion events
Detect silent degradations missed by traditional monitoring
Validate vendor performance and SLA compliance
Accelerate troubleshooting with a unified, cross‑domain view
Unified Insights Across All Domains
QoE AI Insights delivers:
Geospatial QoE Maps
Root‑Cause Analysis Dashboards
Customer Experience Scores
Network Performance KPIs
MVNO Host Benchmarking
These insights are accessible via dashboards, APIs, and exportable formats — ready for engineering, operations, and executive teams.
Why This Matters for MVNOs
MVNOs often operate with limited visibility into the host MNO’s RAN and core. QoE AI Insights changes the game by giving MVNOs:
Independent, device‑level performance evidence
The ability to validate or challenge host network SLAs
Insights to negotiate better wholesale agreements
Tools to improve customer satisfaction and reduce churn
It levels the playing field and empowers MVNOs to operate with the same intelligence as full MNOs.
The Future of QoE Intelligence
As networks become more complex, operators need AI‑driven, real‑time, user‑centric insights to stay competitive. QoE AI Insights—powered by smartphone inferencing, crowdsourced measurement, privacy‑first design, and Microsoft Fabric’s unified analytics—represents the next generation of telecom intelligence.
It enables operators to move from reactive troubleshooting to proactive, predictive, experience‑driven operations.
Visual Architecture
Here’s how it all fits together:
Device agents (App, SDK, SIM Applet) collect experience data
Fabric ingests core metrics, xDRs, alarms, and OSS/BSS signals
Unified dashboards deliver QoE scoring, root‑cause analysis, and geospatial mapping across all domains
Ready to Learn More?
QoE AI Insights is already helping MVNOs and MNOs transform how they understand and improve network experience. To explore the platform, visit qoeaiinsights.net or connect with the team on LinkedIn.
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