From raw data to decision‑ready signals
Core features of sample-forecast
Auto-forecast pipelines
One-click setup connects your warehouse or spreadsheets, detects time series, and handles missing data, outliers, and seasonality. Automated model selection with backtesting ships calibrated forecasts with confidence intervals and MAPE/SMAPE on every run—supporting hierarchies and multiple forecast horizons.
Driver insights and what‑if scenarios
Zoom into the drivers behind each forecast with explainability on promotions, price, weather, and campaigns. Run what‑if scenarios to compare outcomes and quantify impact on demand, revenue, and inventory before you commit.
Always-on monitoring and retraining
Production monitoring tracks drift, anomalies, and SLA breaches across segments. Get alerts, roll back or promote versions with audit trails, and auto‑retrain on a cadence or event trigger to keep accuracy stable over time.
Simple Pricing
Flexible pricing to match any budget or team size.
Starting at
14-day free trial. No credit card required.
Everything you need to operationalize AI forecasting
- Up to 50 forecasting projects and 1M predictions/month
- Prebuilt connectors: CSV, Google Sheets, S3, BigQuery, Snowflake, Postgres, Shopify, Stripe
- Automated model selection and ensembling for best-in-class accuracy
- Scenario planning and driver-based what-if analysis
- Hierarchical and intermittent demand forecasting
- Backtesting, accuracy dashboards (MAPE/MAE), and versioned experiments
- API, webhooks, and scheduled runs for hands-off automation
- Anomaly detection and proactive alerts via email/Slack
- Role-based access control and audit logs
- Collaboration for up to 10 seats
- Data retention: 24 months
- Priority email support
Frequently asked questions
Ready to forecast with confidence?
Spin up your first model in under 5 minutes. Connect your data, hit run, and get forecasts you can trust.