AfriMoney — Remittance Corridor Intelligence Map

ML Corridor Clusters

High-Volume Core

Top revenue, high frequency

4 corridors

Premium Corridor

High FX margin, strong AUC

5 corridors

Growth Market

Rising volume, competitive price

5 corridors

Emerging Route

Lower volume, growth potential

3 corridors

PRICE ↔ SUCCESS RATE CORRELATION

High-Volume Core

-0.42

Premium

+0.09

Growth

-0.24

Emerging

-0.64

Seasonal Transfer Volume

SA AVERAGE — ALL CORRIDORS

☀️

31%

Summer

🍂

28%

Autumn

❄️

19%

Winter

🌸

22%

Spring

Business Split

MKR

Mukuru

62%

MMY

Mama Money

38%

ML Model Status

Fraud Detection AUC 0.9582

Churn Prediction AUC 0.9905

Credit Risk PD AUC 0.9475

Map Controls

CIRCLE SIZE MODE

Transfer volume Transfer count Net revenue Fraud rate

Circle area = relative value

COLOUR MODE

ML cluster Business (MKR/MMY) Success rate FX spread tier

CLUSTER LEGEND

High-Volume Core

Premium Corridor

Growth Market

Emerging Route

BUSINESS LEGEND

Mukuru (MKR)

Mama Money

Both brands

SUCCESS RATE

> 80% (Good)

70–80% (Fair)

< 70% (At Risk)

📊 Executive Dashboard

R 78B

Annual Volume

5M+

Transfer Orders

Active Corridors

500K

Customers

78.2%

Success Rate

3.2 bps

Fraud Rate

82%

KYC Complete

R 18B

Net Revenue

Monthly Volume Trend (R Billion)

Month	MKR Vol	MMY Vol	Total	vs Prior
Jan 2026	8.2B	4.1B	12.3B	—
Feb 2026	8.9B	4.5B	13.4B	+8.9%
Mar 2026	9.4B	4.8B	14.2B	+6.0%
Apr 2026	10.1B	5.2B	15.3B	+7.7%
May 2026	10.8B	5.6B	16.4B	+7.2%
Jun 2026	11.4B	5.9B	17.3B	+5.5%

Business Split & Customer Segments

62%

Mukuru (MKR)

R 48.4B volume

38%

Mama Money (MMY)

R 29.6B volume

LTV Segment	Customers	% Base	Avg LTV
Champion	14,000	2.8%	R 8,200
High Value	92,000	18.4%	R 3,100
Medium Value	220,500	44.1%	R 680
Low Value	131,500	26.3%	R 140
Zero Value	42,000	8.4%	R 0

🤖 ML Model Results — Real Trained Scores

0.9582

Fraud AUC-ROC

0.9905

Churn AUC-ROC

0.9475

Credit AUC-ROC

GBM + RF

Algorithms

🔴 Fraud Detection (GBM)

AUC-ROC0.9582

Avg Precision0.7745

CV Mean (3-fold)0.9576 ± 0.0009

Label Rate10.3%

Train / Test160K / 40K

Top Features

Payment Attempts

31.2%

Send Amount (log)

24.1%

Hour of Day

13.8%

KYC Level

10.2%

FX Spread %

8.7%

🔵 Customer Churn (Random Forest)

AUC-ROC0.9905

Avg Precision0.9192

CV Mean (3-fold)0.9907 ± 0.0003

Label Rate10.9%

Train / Test160K / 40K

Top Features

Days Since Last Tx

42.1%

Monthly Tx Rate

19.8%

Engagement Score

14.2%

Total Transfers

9.8%

Wallet Balance

7.1%

🟡 Credit Risk PD (GBM)

AUC-ROC0.9475

Avg Precision0.9174

CV Mean (3-fold)0.9486 ± 0.0025

Label Rate37.4%

Train / Test12K / 3K

Top Features

DTI Ratio

35.8%

Previous DPD

28.1%

Employment Months

14.2%

Income (log)

9.8%

Loan Count

7.1%

⚠️ Risk & Compliance Dashboard

2.8 bps

Current Fraud Rate

82.4%

KYC Completion

11.2%

Loan Default Rate

4.8%

IFRS 9 ECL Rate

Monthly Risk KPIs — RAG Status

Month	Fraud bps	Fraud RAG	KYC %	KYC RAG	Success %	Ops RAG
Jan 2026	4.1	🟡 AMBER	79.2%	🟡 AMBER	76.1%	🟡 AMBER
Feb 2026	3.8	🟡 AMBER	79.8%	🟡 AMBER	76.8%	🟡 AMBER
Mar 2026	3.5	🟡 AMBER	80.5%	🟢 GREEN	77.4%	🟢 GREEN
Apr 2026	3.2	🟢 GREEN	81.2%	🟢 GREEN	78.0%	🟢 GREEN
May 2026	3.0	🟢 GREEN	81.8%	🟢 GREEN	78.6%	🟢 GREEN
Jun 2026	2.8	🟢 GREEN	82.4%	🟢 GREEN	79.2%	🟢 GREEN

High-Risk Corridors (Fraud bps ≥ 5)

Corridor	Fraud bps	Success %	ML Cluster	Status
ZA-CD (DR Congo)	8.2	64.2%	Emerging	🔴 HIGH RISK
ZA-AO (Angola)	6.8	68.4%	Emerging	🔴 HIGH RISK
ZA-NG (Nigeria)	6.1	69.8%	Growth	🟡 ELEVATED
ZA-ET (Ethiopia)	7.1	66.8%	Emerging	🔴 HIGH RISK
ZA-MG (Madagascar)	5.2	71.2%	Growth	🟡 ELEVATED
ZA-GH (Ghana)	4.6	73.1%	Growth	🟡 ELEVATED

⚠️ Fraud Detection model (AUC 0.9582) flags 10.3% of transactions for review. Enhanced KYC enforcement recommended for CD, AO, ET corridors.

💱 FX Rates & Corridor Profitability

5.42%

Avg FX Spread

R 18B

FX Revenue

6.44%

Highest Spread (MU)

4.55%

Lowest Spread (CD)

Corridor FX Analysis — All 17 Routes

Corridor	Currency Pair	FX Spread %	Fee Share %	Net Margin %	FX Revenue (R B)	Tier
ZA-MU	ZAR/MUR	6.44%	5.76%	0.68%	0.71B	Premium
ZA-LS	ZAR/LSL	6.21%	5.55%	0.66%	1.48B	Premium
ZA-SZ	ZAR/SZL	6.05%	5.41%	0.64%	0.99B	Premium
ZA-NA	ZAR/NAD	5.95%	5.31%	0.64%	1.16B	Premium
ZA-BW	ZAR/BWP	5.88%	5.24%	0.64%	1.68B	Premium
ZA-ZW	USD/ZWG	5.41%	4.82%	0.59%	4.82B	High-Vol
ZA-MZ	ZAR/MZN	5.38%	4.78%	0.60%	3.21B	High-Vol
ZA-ZM	ZAR/ZMW	5.39%	4.80%	0.59%	2.69B	High-Vol
ZA-MW	ZAR/MWK	5.52%	4.90%	0.62%	1.71B	High-Vol
ZA-KE	ZAR/KES	5.22%	4.61%	0.61%	1.10B	Growth
ZA-TZ	ZAR/TZS	5.15%	4.54%	0.61%	1.27B	Growth
ZA-GH	ZAR/GHS	5.08%	4.47%	0.61%	0.74B	Growth
ZA-NG	NGN/ZAR	4.85%	4.19%	0.66%	0.87B	Growth
ZA-MG	ZAR/MGA	4.92%	4.28%	0.64%	0.44B	Emerging
ZA-AO	ZAR/AOA	4.71%	4.10%	0.61%	0.33B	Emerging
ZA-CD	ZAR/CDF	4.55%	3.96%	0.59%	0.25B	Emerging
ZA-ET	ZAR/ETB	4.68%	4.08%	0.60%	0.21B	Emerging

💡 Intelligence Insights — Recommendations & Problem Solving

🔴 HIGH PRIORITYRisk

Emerging Corridor Fraud Surge

CD, AO, ET corridors showing 6.8–8.2 bps fraud — 2.5× platform average. Fraud model flags these clusters but real-time intervention is absent.

Recommendations

↗ Deploy real-time Snowpark UDF fraud scoring at submission — block transactions scoring above 0.75 threshold

↗ Enforce LEVEL_2 KYC minimum for CD/AO/ET before allowing transactions > R 500

↗ Add velocity rule: flag > 3 failed attempts in 10 min per customer

Estimated fraud reduction: −35% bps in 90 days

🔴 HIGH PRIORITYRevenue

Zimbabwe Volume vs Low Success Rate

ZA-ZW is the largest corridor (R 18.4B) but success rate is only 78.2% — 4pp below premium corridors. Each 1pp improvement = R 184M additional completions.

Recommendations

↗ Add mobile money payout option (EcoCash) alongside cash — reduces failure caused by agent unavailability

↗ Pre-validate recipient account details at submission using ZWG bank API

↗ Add retry logic with alternative payout rail after 30-min timeout

Revenue upside if success → 82%: +R 736M/year

🟡 MEDIUMGrowth

Churn Model — 10.9% at Risk

Churn model (AUC 0.9905) identifies 54,500 customers as high churn risk. Top signal: 42% importance from "days since last transfer" — inactivity is the key driver.

Recommendations

↗ Trigger automated win-back campaign at day 21 of inactivity (before the 30-day cliff)

↗ Offer fee waiver on next transfer for customers with engagement_score < 40

↗ Push wallet balance nudge via USSD/app for customers with balance > R 50 but zero sends in 14 days

Retention of 10% of at-risk = 5,450 customers saved

🟡 MEDIUMLending

IFRS 9 ECL — Stage Migration Risk

Credit model (AUC 0.9475) shows 37.4% default rate in training data. DTI ratio (35.8% importance) and prior DPD (28.1%) are dominant. IFRS 9 Stage 2 migration threshold needs review.

Recommendations

↗ Set automatic Stage 2 trigger when PD score > 0.35 (current model threshold)

↗ Reject applications where DTI > 0.45 and prev_dpd > 30 — reduces ECL exposure

↗ Implement Early Warning System: Snowpark scoring at 7-day intervals

ECL reduction estimate: −15–20% provision

🔵 OPPORTUNITYFX

Premium Corridor FX Margin Expansion

Lesotho, Eswatini, Mauritius corridors carry 6.05–6.44% FX spreads with 80–87% success rates. These "Premium" corridors are underinvested in marketing volume.

Recommendations

↗ Increase marketing spend on MU/LS/SZ corridors — higher margin, lower fraud (0.9–1.8 bps)

↗ Launch Premium loyalty tier for customers transacting exclusively on premium corridors

↗ Partner with Mauritian banks for bulk settlement to reduce interbank costs

Volume uplift target: +25% in 6 months

🟣 DATA / TECHPlatform

KYC Completion Gap — 18% Unverified

82% KYC completion means 90,000 customers at LEVEL_0/1. These customers have 3× higher fraud rates and lower LTV. KYC is also the #4 fraud feature (10.2% importance).

Recommendations

↗ Implement progressive KYC: gate R 1,000+ transactions behind LEVEL_2 (ID verification)

↗ Build dbt mart_kyc_funnel to track weekly KYC conversion by channel and corridor

↗ Add Snowflake alert: trigger when corridor KYC completion drops below 70%

KYC uplift to 90% = fraud bps −1.2, LTV +8%