Design Partner Pricing
Annual pricing based on forecast volume. Design partners receive 50% discount in exchange for co-development input and case study rights.
Starter
For emerging DTC brands with warehouse infrastructure
Up to 1M predictions/month
- Warehouse-native deployment
- Customer × product × week forecasting
- Snowflake/BigQuery/Postgres support
- Synthetic fact table output
- SQL-native integration
- Weekly model updates
- Email support
- Multiple warehouse connectors
- Dedicated support
- Custom model tuning
Growth
For scaling brands with significant forecast volume
Up to 5M predictions/month
- Everything in Starter, plus:
- Multiple warehouse connectors
- Priority support (Slack)
- Daily model updates
- Custom model tuning
- Cross-sell recommendations
- Inventory optimization signals
- Hierarchical reconciliation
- Dedicated account manager
- Custom feature development
Enterprise
For large brands with complex needs and high volume
Unlimited predictions
- Everything in Growth, plus:
- Unlimited predictions
- Dedicated account manager
- Custom feature development
- SLA guarantees
- On-premise deployment
- 24/7 phone support
- Quarterly business reviews
Feature Comparison
Detailed breakdown of what's included in each plan
| Feature | Starter | Growth | Enterprise |
|---|---|---|---|
| Forecasting | |||
| Customer × product forecasting | |||
| Weekly forecast updates | |||
| Daily forecast updates | |||
| Real-time predictions | |||
| Custom model training | |||
| Integrations | |||
| Shopify | |||
| BigCommerce | |||
| REST API | |||
| Custom integrations | |||
| Webhook support | |||
| Data & Analytics | |||
| 12 months historical data | |||
| 24 months historical data | |||
| Unlimited historical data | |||
| Cross-sell recommendations | |||
| Inventory optimization | |||
| Custom reports | |||
| Support | |||
| Email support | |||
| Priority support | |||
| Slack notifications | |||
| Dedicated account manager | |||
| 24/7 phone support | |||
Frequently Asked Questions
Design partners are early customers who co-develop StratTab with us. In exchange for a 50% discount, design partners provide feedback, participate in case studies, and help shape the product roadmap. We're seeking 3-4 design partners for our initial launch.
StratTab runs as a container in your cloud environment (AWS, GCP, Azure) with read-only access to your data warehouse. Predictions are written back to your analytics schema. Your data never leaves your infrastructure, eliminating security review bottlenecks.
We currently support Snowflake, Google BigQuery, Databricks, and Postgres. Additional warehouse connectors are on our roadmap based on customer demand.
Pricing is based on prediction volume — the number of customer × product × week combinations we forecast for you each month. This aligns with value: more predictions means more SKUs and customers, which means more inventory at risk.
We need at least 12 months of order history with customer IDs, product IDs, and timestamps. The more data you have, the better our predictions. We also use your existing dimension tables for hierarchical forecasts.
Most deployments are complete within a week. Container deployment takes under an hour. Schema discovery and model training typically take 2-5 days depending on data volume.
Your data never leaves your infrastructure. Our container has read-only access to source tables and writes predictions to your analytics schema. No granular business data is ever sent to StratTab — only system health telemetry.
Predictions are delivered as a synthetic fact table in your warehouse with the same structure as your transaction tables: customer_id, product_id, week_start_date, purchase_probability, and expected_units. Query with standard SQL.
Become a Design Partner
We're seeking 3-4 design partners to co-develop StratTab. Get 50% off, direct feature input, and early access to the most granular forecasting platform in e-commerce.