TelcoAI Intelligence Dashboard — churn prediction, network health, customer segmentation, and multilingual sentiment analysis for Nigerian telecom operators

ChatVE TelcoAI Smart Dashboard
Telco Operations & Customer Analytics Platform
Live · 95.7M subscribers MTN Nigeria · 51.62% market share Last sync: 4s ago
OVERALL CHURN RATE
26.5%
▲ 2.1% vs last quarter
HIGH RISK SUBSCRIBERS
1,651
Churn probability >60%
ML MODEL ACCURACY
79.8%
Random Forest · 7,043 records
MONTHLY REVENUE AT RISK
₦222M
1,869 churners × ₦74.4k avg
CHURN RATE BY CONTRACT TYPE
Month-to-month 42.7% One year 11.3% Two year 2.8%
Churn rates: Month-to-month 42.7%, One year 11.3%, Two year 2.8%.
CHURN BY TENURE SEGMENT
0–12 months (highest risk) 49–72 months (loyal)
Churn by tenure: 0-12m 47.4%, 13-24m 28.7%, 25-48m 20.4%, 49-72m 9.5%.
ML FEATURE IMPORTANCE — KEY CHURN DRIVERS
Total Charges
19.3%
Monthly Charges
17.9%
Tenure
16.2%
Contract Type
7.6%
Payment Method
5.1%
Online Security
4.2%
Tech Support
3.7%
Internet Service
2.8%
HIGH-RISK SUBSCRIBER QUEUE — ACTION REQUIRED
IDTenureContractChurn RiskAction
3668-QPYBK2mMonth-to-month94% High
9237-HQITU4mMonth-to-month89% High
1452-KIOVK6mMonth-to-month85% High
6713-OKOMC11mMonth-to-month71% Med
5129-JLPIS15mOne year58% Med
CHURN BY INTERNET SERVICE TYPE
Fiber optic 41.9% DSL 19.0% No internet 7.4%
Fiber optic 41.9%, DSL 19.0%, No internet 7.4%.
AI-POWERED RETENTION PLAYBOOK
Contract Upgrade — Month→Year
3-month discount + free device protection · Target: 42.7% churn segment
91% accept
Fiber Speed Guarantee
Free 2-month upgrade + SLA commitment · Target: 41.9% churn fiber users
84% accept
Loyalty Appreciation Bundle
Free TechSupport + online security · Target: senior & long-tenure segment
76% accept
NETWORK UPTIME
99.94%
▲ 0.03% vs last week
AVG LATENCY
14ms
▼ 2ms improvement
ACTIVE ALERTS
9
3 critical · 6 warning
NODES DEGRADED
2 / 847
Auto-rerouting active
LIVE NODE STATUS — 847 BASE STATIONS ACROSS NIGERIA
87%
Lagos Island
5G Core
Offline
Abuja GW
4G Gateway
42%
PH Backbone
5G Core
91%
Kano Regional
4G Regional
58%
Ibadan Edge
5G Edge
47ms⚡
Enugu TX
Transmission
REAL-TIME ALERTS — ML ANOMALY DETECTION
CRITICAL Abuja GW offline — 22,400 subscribers affected. Churn risk elevated +18% for affected zone. Auto-rerouting via Lagos backbone. 3m
WARN Kano Regional at 91% load — predicted saturation in 38 mins. 7,200 Hausa-speaking subscribers at risk. Capacity alert triggered. 11m
WARN Enugu TX latency spike 47ms (+235%). ML model flagged correlation with fiber churn pattern. 340 high-value subscribers in affected cell. 22m
RESOLVED Lagos Island congestion resolved via dynamic traffic shaping. 0 churn signals detected in 15-minute post-incident window. 44m
24-HOUR TRAFFIC VOLUME
5G traffic 4G/LTE DSL/Fixed
24h network traffic data across Nigerian base stations.
NETWORK QUALITY → CHURN CORRELATION — AI INSIGHT
Fiber optic quality degradation drives 41.9% churn rate
Analysis of 3,096 fiber optic subscribers shows a direct correlation between latency spikes (>30ms) and churn events within 30 days. Enugu TX degradation currently places 340 subscribers in the high-risk queue. Proactive intervention (speed guarantee offer in local language) could prevent ₦25.3M monthly revenue loss.
Design intervention ↗
Month-to-month + no tech support = 41.6% churn — structural vulnerability
2,341 subscribers on month-to-month contracts with no TechSupport add-on represent 33.2% of all churners despite being 23.5% of the base. Bundling tech support into month-to-month plans could reduce this segment's churn from 41.6% to an estimated 15.2%, saving ₦68M monthly.
Model impact ↗
OVERALL NPS SCORE
+41
▲ 4 points this month
NEGATIVE SIGNALS
23%
Hausa & Pidgin dominate
MULTILINGUAL COVERAGE
6 langs
WAXAL-powered ASR
CALLS ANALYSED TODAY
14,820
▲ 8.4% vs yesterday
REAL-TIME SENTIMENT BY LANGUAGE — NLP ENGINE
Positive · Neutral · Negative breakdown per language stream
Hausa · 6,840 calls today
Positive 41%Neutral 34%Negative 25%
Pidgin English · 4,210 calls today
Positive 38%Neutral 28%Negative 34%
Yoruba · 2,480 calls today
Positive 54%Neutral 30%Negative 16%
Igbo · 980 calls today
Positive 49%Neutral 32%Negative 19%
TOP COMPLAINT THEMES — NLP EXTRACTED (ALL LANGUAGES)
TOP Network speed (Pidgin): "My data dey finish before time" — 34% of Pidgin complaints. Correlates with fiber churn segment. Live
#2 Billing confusion (Hausa): "Kuɗin data ya kare da wuri" (data finished early) — 28% of Hausa calls. Electronic check users most affected. Live
#3 Call drops (Hausa/Yoruba): Northern & southwest clusters reporting 3G→5G handoff failures. Kano node congestion likely driver. Live
OK Service praise (Yoruba): "E dara" (It's good) — Ibadan & Lagos Mainland zones. Tenure >48m subscribers express high satisfaction. Live
WAXAL-POWERED SPEECH INTELLIGENCE PIPELINE
Google WAXAL ASR → Multilingual Churn Signal Extraction
The WAXAL dataset (2,000+ hours West African speech: Hausa, Yoruba, Twi, Pidgin) fine-tunes a Whisper ASR model that transcribes customer support calls in real time. A Hugging Face multilingual BERT classifier then extracts dissatisfaction signals — "My network dey do anyhow" (Pidgin, frustration), "Kuɗina ya tafi" (Hausa, billing complaint) — and feeds them directly into the churn risk score. Today, 847 calls triggered churn risk elevation after multilingual NLP flagged high-dissatisfaction language patterns. Without multilingual processing, these signals would be invisible to English-only models.
View pipeline architecture ↗
MONTHLY REVENUE
₦456B
▲ 11.2% YoY
ARPU
₦4,768
▲ ₦384 vs last quarter
REVENUE AT RISK
₦222M
1,869 predicted churners
AI RETENTION SAVES
₦38M
↑ 340 auto-interventions
MONTHLY CHARGES DISTRIBUTION BY CHURN STATUS
Retained (avg ₦61.3/unit) Churned (avg ₦74.4/unit)
Monthly charges: retained subscribers avg 61.3, churned subscribers avg 74.4.
CHURN BY PAYMENT METHOD — REVENUE RISK
Electronic check 45.3% Auto payments ~16%
Churn by payment: electronic check 45.3%, mailed check 19.1%, bank transfer 16.7%, credit card 15.2%.
AI-GENERATED REVENUE RECOVERY OPPORTUNITIES
₦68M/month — TechSupport bundling
Bundling TechSupport into month-to-month plans reduces churn from 41.6% to est. 15.2% in that segment. 2,341 subscribers, ₦74.4k avg charge.
Model ROI ↗
₦45M/month — e-check to auto-pay migration
Electronic check users churn at 45.3% vs 15.2% for auto-pay. 2,365 e-check subscribers represent 19.5% of revenue at risk. Auto-pay incentive campaign target.
Design campaign ↗
₦34M/month — 0–12 month early intervention
New subscribers (0–12 months) churn at 47.4% — nearly 1 in 2. Early-tenure onboarding programme with 90-day engagement plan could halve this rate.
Build programme ↗