AI-Powered Inventory Forecasting for Shopify
Predict demand accurately, prevent stockouts, and optimize inventory levels. Forthcast uses machine learning to help Shopify merchants reduce costs and increase sales.
Everything You Need to Optimize Inventory
From demand forecasting to purchase orders, Forthcast automates your inventory management.
AI Demand Forecasting
Machine learning analyzes your sales history to predict future demand with 80-95% accuracy. Uses Holt-Winters exponential smoothing to detect trends and seasonality.
Smart Reorder Points
Automatically calculates optimal reorder points and safety stock levels for each SKU. Never miss a sale due to stockouts again.
Purchase Order Tracking
Create and track purchase orders directly in the app. Get suggested order quantities based on forecasted demand and current inventory.
Bundle Management
Handle product bundles and kits with ease. Component demand is attributed correctly to avoid double-counting in forecasts.
Unusual Sales Pattern Detection
Automatically spots unexpected sales spikes or drops in your data. Get alerted to unusual patterns before they affect your forecasts.
Low Stock Alerts
Receive email notifications when inventory drops below reorder points. Stay proactive with daily low stock summaries.
New Product Pairing
Launch new products with confidence. Pair them with similar items to inherit demand patterns until they build their own sales history.
Forecast Accuracy Tracking
Monitor how well your forecasts match reality. View MAPE, bias metrics, and actual vs. predicted comparisons over time.
Simple, Transparent Pricing
One plan with everything included. No hidden fees, no per-SKU charges.
- Unlimited SKUs
- AI demand forecasting
- Safety stock & reorder points
- Purchase order tracking
- Bundle management
- Anomaly detection
- Low stock email alerts
- Forecast accuracy reports
- New product pairing
- Shopify sync & webhooks
How Forthcast Compares
See why merchants choose Forthcast over spreadsheets and expensive enterprise solutions.
| Feature | Forthcast | Spreadsheets | Enterprise Tools |
|---|---|---|---|
| AI-powered forecasting | ✓ | ✗ | ✓ |
| Automatic Shopify sync | ✓ | ✗ | ✓ |
| Easy setup (minutes) | ✓ | ✗ | ✗ |
| Affordable pricing | $19.99/mo | Free | $500+/mo |
| Bundle management | ✓ | ✗ | ✓ |
| Low stock alerts | ✓ | ✗ | ✓ |
| No technical setup | ✓ | ✗ | ✗ |
Frequently Asked Questions
Baseline demand is the underlying average rate at which a product sells — stripped of any noise, spikes, or seasonal swings. Think of it as the floor the forecast is built on.
Trend is whether that baseline is moving up or down over time. A product growing 5% month-on-month has an upward trend; one that spiked during a promotion and has since declined has a downward one. The engine weights recent behaviour more heavily than old data, so a trend reversal gets picked up quickly rather than being diluted by months of history going the other way.
Seasonality is the repeating rhythm in demand — day-of-week patterns (weekends sell differently to weekdays), and for stores with longer sales history, annual cycles like a summer slowdown or a pre-Christmas peak. Once the engine has identified that rhythm, it applies it to every month of the forecast, so a product that always dips in February will show that dip even years into the future.
The three signals combine to produce each month's forecast. If one is weak or the data is too short to measure it reliably, the engine omits it rather than guessing, which is why short-history SKUs show a confidence indicator.