AI-powered ZESA outage predictions to schedule production without downtime.
Zimbabwean manufacturers face up to 18-hour daily power outages from ZESA load shedding, halting production and forcing reliance on costly diesel generators.
ShedPredict uses historical ZESA data, weather patterns, and crowdsourced reports to forecast load shedding schedules with 85% accuracy. Manufacturers input their production needs, and the app auto-generates optimal shift schedules around predicted outages. Real-time alerts ensure teams stay informed and productive.
Zimbabwean manufacturers
Hyper-local AI predictions tailored to Zimbabwe's erratic ZESA grid, with auto-scheduling integration for factory calendars.
professional
Visual timeline of predicted outages for next 7 days with confidence scores.
Input shifts and get optimized schedules avoiding predicted blackouts.
Users report actual outages to improve model accuracy.
Push notifications and SMS for sudden changes.
Track past predictions vs reality and downtime saved.
Manage schedules for multiple sites.
CSV/PDF export for sharing with teams.
Factor in weather data for better predictions.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| phone | text | Yes |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| location | text | No |
| weekly_hours | int | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| factory_id | uuid | No |
| date | timestamp | No |
| outage_start | timestamp | Yes |
| outage_end | timestamp | Yes |
| confidence | int | No |
| actual_reported | bool | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| factory_id | uuid | No |
| week_start | timestamp | No |
| shifts | text | No |
Relationships:
/api/predictionsFetch predictions for factory
/api/predictions/reportSubmit outage report
/api/schedules/generateGenerate schedule from inputs
/api/schedulesList user schedules
/api/factoriesCreate factory
/api/alerts/preferencesUpdate alert settings
/api/analyticsGet historical accuracy stats
No scheduling, no SMS
Up to 10 users per factory
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 50 | 5% | $75 | $900 |
| Month 6 | 300 | 12% | $1,080 | $12,960 |
Get 85% accurate forecasts and auto-shifts to slash downtime by 70%. No more guessing.
Post in Zimbabwe Manufacturers Facebook groups and LinkedIn Zim Industrial groups offering free Pro access for feedback. DM 20 targeted manufacturers from Zim business directories like zimtrade.co.zw. Host a free webinar on 'Beating Load Shedding' via Zoom to convert attendees.
Official schedules
Inaccurate and delayed
AI + crowdsourced real-time accuracy
Community reports
No predictions or scheduling
Automated tools and integrations
Network effects from crowdsourced reports improving prediction accuracy over time.
ZESA outages worsening to 18hrs/day in 2024, with no quick grid fix; diesel costs up 50%.
Low adoption due to skepticism on predictions
Free tier + accuracy guarantees with refunds
Prediction model underperforms initially
Start with rule-based + bootstrap with public data
SMS costs exceed budget
Cap free SMS, chargeback in Pro
Success: 80% confirm scheduling need
Success: 70% retention week 2
Success: 100 users week 1
Other validated startup ideas you might find interesting
AI-powered feedback prioritization for solo SaaS founders
Customer-voted roadmaps that solo founders can launch in minutes
Automate feedback loops into tasks for solo SaaS builders
Never miss TechCabal articles again—search and recover 404 pages instantly.
Your personal vault for TechCabal links—auto-recovers 404s forever.
AI revives lost TechCabal pages—summarize, rewrite, recover.