Predict internet outages and schedule mobile money transactions.
Business owners in rural Benin experience unreliable internet connectivity that disrupts critical mobile money transactions and digital banking services.
NetSched analyzes your connection patterns and local outage data to predict downtime, allowing you to schedule transactions for optimal windows. It queues and executes via APIs during predicted good connectivity, with alerts for manual intervention. Perfect for time-sensitive banking in unreliable areas.
Business owners in rural Benin dependent on mobile money and digital banking
ML-powered outage prediction using crowdsourced rural Benin data for 85% accuracy.
professional
Tracks uptime/downtime in background.
Forecasts next 24h reliability using simple ML.
Set txn to auto-execute in green windows.
Push/SMS alerts for predictions and executions.
Detailed history of scheduled txns.
Crowdsourced outage map for Benin.
Queue multiple daily txns.
ICS export for external calendars.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| location | text | Yes |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| uptime | bool | No |
| timestamp | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| execute_at | timestamp | No |
| status | text | No |
Relationships:
/api/predictGet outage forecast
/api/scheduleCreate scheduled txn
/api/logsLog connection status
/api/executionsList past schedules
No alerts
Priority predictions
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 120 | 2.5% | $90 | $1,080 |
| Month 6 | 1,000 | 7% | $2,100 | $25,200 |
NetSched ensures your mobile money txns go through at the best time.
Survey rural co-ops via LinkedIn Benin groups; offer beta via email signup with free Pro; collaborate with local NGOs for trader outreach.
Global coverage
No rural Benin specifics or scheduling
Localized predictions + txn automation
Crowdsourced connection data moat grows with users for hyper-local accuracy.
2024 Benin 5G pilots highlight persistent rural gaps, driving demand for smart tools.
Prediction accuracy
Fallback to manual + continuous training
Prediction skepticism
Transparent accuracy metrics
Low ARPU initially
Freemium ramp
Success: Model >70% accuracy
Success: 30% retention
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