AI forecasts your inventory needs from prototype sales data
Solo founders scaling manufacturing get crushed by inventory management chaos and massive overstock losses from unvalidated demand.
StockSage analyzes your early sales, waitlists, and market signals to predict optimal order quantities and reorder points. It simulates scenarios to minimize overstock while ensuring you never run out during scaling. Get actionable insights tailored for hardware production runs.
Solo founders in hardware, consumer product, or manufacturing businesses scaling from prototype to production
Zero-data-start AI that learns from similar products in your category
professional
Upload CSV of sales/prototype data or connect Shopify
Predict demand curves and safe stock levels for next 6 months
Test 'what-if' for marketing spend, delays, or demand spikes
Dynamic reorder points with supplier lead time inputs
Overstock probability scores and loss projections
Notify on demand shifts from external signals
Manage portfolios of SKUs
PDF/CSV for sharing with suppliers
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| stripe_id | text | Yes |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| lead_time_days | int | No |
| current_stock | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| product_id | uuid | No |
| date | timestamp | No |
| units_sold | int | No |
| revenue | int | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| product_id | uuid | No |
| predicted_units | int | No |
| confidence | int | Yes |
| generated_at | timestamp | No |
Relationships:
/api/productsAdd product with lead times
/api/sales/:productIdUpload sales data
/api/forecast/:productIdTrigger AI forecast
/api/forecast/:productIdGet latest forecast
/api/simulationsRun scenario sim
100 sales rows/month
10k rows/month
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 80 | 4% | $80 | $960 |
| Month 6 | 500 | 7% | $875 | $10,500 |
AI-powered predictions for hardware scaling – cut overstock by 70% with data-driven orders.
Target Hacker News Show HN hardware posts; email list from Maker Faire attendees; free audits for beta users from r/manufacturing.
Full MRP
Overkill for solos, no AI
AI-first, cheap, prototype-focused
Ecom forecasts
Ecom only, not hardware
Hardware lead times + AI from sparse data
Proprietary AI trained on hardware sales patterns for superior accuracy
AI accessibility + supply chain volatility demands predictive tools for small runs
AI prediction inaccuracy
Hybrid rules + ML, user feedback loop
Data privacy concerns
SOC2 + local processing options
Success: 70% interested in beta
Success: 90% accuracy validated
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