AI alerts for solar issues timed to your POS sales peaks – prevent downtime.
Small business owners can't find affordable, reliable solar energy monitoring tools that seamlessly integrate with their POS systems without needing IT expertise.
SolarGuardSell plugs into your POS and solar hardware to predict failures based on business hours and sales data. Get proactive alerts before outages hit revenue. No-code setup keeps small businesses running green without experts.
Small business owners operating retail or service locations with solar panels and POS systems
Predictive alerts using POS data for sales-impact forecasting, unique to retail schedules.
supportive
AI flags issues before sales peaks.
Imports business hours/sales patterns.
Daily solar reliability rating.
Track resolved alerts with revenue impact.
Guided troubleshooting links.
Auto-schedule panel cleans.
Invite staff to view alerts.
Share data with solar pros.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| phone | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| pos_type | text | No |
| solar_device | text | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| integration_id | uuid | No |
| type | text | No |
| severity | text | No |
| predicted_impact | int | Yes |
| resolved | bool | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| integration_id | uuid | No |
| day_of_week | int | No |
| peak_hour | int | No |
Relationships:
/api/alerts/setupInit predictive monitoring
/api/alerts/activeList current alerts
/api/patterns/syncUpdate sales patterns from POS
1 location
No limits
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 3% | $72 | $864 |
| Month 6 | 700 | 6% | $1,260 | $15,120 |
Smart alerts predict issues using your POS data – keep lights on, sales up.
Email solar installers for referrals to recent retail installs. Join SMB solar Discord, offer free Pro for reviews. Target Square app directory users via Twitter outreach.
Hardware reliability
No sales correlation
POS-driven predictions
ML models trained on proprietary POS-solar failure data.
Rising solar faults with cheap panels + SMB energy costs up 25%.
AI accuracy
Rule-based fallback
Notification delivery
Multi-channel
Success: Pain validation
Success: 3 resolved issues
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