AI that predicts sales and auto-allocates inventory before you oversell or stock out
Solo ecommerce founders waste entire days manually syncing inventory across Shopify, Amazon, and Etsy, frequently causing overselling.
SageStock analyzes 90 days of your multi-channel sales history to forecast demand per platform. It then automatically adjusts listing quantities daily while maintaining safety buffers. Founders receive a simple 'Recommended Action' list each morning instead of spending hours reconciling spreadsheets.
Solo ecommerce founders running multi-channel stores on Shopify, Amazon, and Etsy
Lightweight ML models trained specifically on solo founder multi-channel data that improve with every user added to the network.
intelligent and approachable
Secure OAuth for Shopify, Amazon, Etsy
Pull 90+ days of order data from all channels
Daily ML predictions per SKU per channel
Automatically suggest and apply optimal stock levels
Visual forecast charts with confidence intervals
Push predicted quantities to channels on schedule
Test how promotions would affect forecasts
See which platform is outperforming predictions
Let users adjust predictions with one click
Incorporate ad spend data into forecasts
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| created_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| platform | text | No |
| encrypted_token | text | Yes |
| last_synced | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| sku | text | No |
| name | text | Yes |
| current_stock | int | No |
| predicted_demand_7d | int | Yes |
| confidence_score | int | Yes |
| last_predicted | timestamp | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| inventory_item_id | uuid | No |
| predicted_for_date | timestamp | No |
| predicted_qty | int | No |
| actual_qty | int | Yes |
| created_at | timestamp | No |
Relationships:
/api/forecast/generateTrigger ML prediction job for a user
/api/recommendationsGet today's AI allocation suggestions
/api/apply-recommendationApply one or all AI suggestions to channels
Updated weekly
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| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 110 | 14% | $294 | $3,528 |
| Month 6 | 780 | 26% | $3,850 | $46,200 |
SageStock predicts what will sell on each channel and adjusts stock automatically so you never oversell or miss sales again.
Create a waitlist landing page and promote in 'Ecommerce AI' and 'Shopify Entrepreneurs' Facebook groups. Offer free lifetime access to first 10 users who upload 90 days of sales data. Partner with 3 popular Shopify podcast hosts for beta mentions in exchange for early access.
Strong Amazon focus
Limited multi-channel AI, clunky interface
Modern AI built for 3-platform solo sellers
Network effect from aggregated anonymized sales patterns that continuously improves the shared forecasting model.
Accessible LLM and time-series tools (like Vercel AI) now allow solo developers to build accurate lightweight forecasting models that previously required data science teams.
Inaccurate initial predictions damaging trust
Start with conservative buffers and clear confidence indicators
Founders distrusting AI with inventory
Human-in-the-loop approval workflow for first 30 days
Success: Model achieves <18% MAPE on backtesting
Success: 75% of users say forecasts are 'useful' or better
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