Redbird AI syncs your Shopify sales data with dbt transformation models automatically. Stop manually exporting order data, rebuilding models for new product lines, or waiting for warehouse refreshes to validate e-commerce metrics.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger incremental dbt model runs when new order batches land in your warehouse from Shopify. Keep customer lifetime value, cohort, and product performance models fresh without scheduled delays. Ensure analytics reflect real-time commerce activity.
When new product collections or attributes are added in Shopify, automatically flag dbt models that reference product taxonomies for review. Prevent broken joins and maintain data lineage as your catalog evolves. Keep transformation logic aligned with merchandising changes.
Surface dbt-calculated metrics like 90-day product velocity, customer segment scores, or margin analysis directly into Shopify product and customer records as metafields. Enable merchandising teams to act on analytics without leaving their workflow.
Monitor dbt test results for anomalies in Shopify-sourced tables like negative inventory counts, null order totals, or duplicate transaction IDs. Route alerts to operations teams with context about which Shopify stores or sales channels are affected. Catch data issues before they corrupt reporting.
Automatically compile dbt-transformed sales analytics—conversion rates by traffic source, SKU-level margins, regional performance—and surface them in Shopify admin dashboards or email digests. Replace manual BI tool exports with scheduled, governed metrics.
When Shopify order data reaches retention thresholds, archive raw extracts to cold storage and trigger dbt models to backfill historical aggregations. Maintain long-term trend analysis while managing warehouse costs and compliance requirements.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt and Shopify with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird AI understands both dbt's semantic layer and Shopify's commerce data model—so you can automate the entire pipeline from checkout to insight.
Redbird maps Shopify's order line items, product variants, customer records, and inventory events to your dbt staging, intermediate, and mart models. It understands dbt's ref() dependencies, test definitions, and freshness checks alongside Shopify's nested JSON structures for orders, refunds, and fulfillments. When catalog attributes change or new sales channels launch, Redbird identifies which transformation models need updates and which tests should validate the new data shape. No custom scripts to parse Shopify webhooks or maintain brittle dbt run triggers.
faster than scripting dbt runs for every Shopify data refresh
Redbird can pull from dbt and Shopify simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either dbt or Shopify.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from dbt into Shopify, or from Shopify back into dbt. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start from any event in dbt's transformation pipeline or Shopify's commerce operations—Redbird handles the connection logic.
Fires when a specific dbt model finishes running, whether successful or failed.
Triggers when any dbt test fails on models sourcing Shopify data.
Alerts when dbt source freshness checks indicate stale Shopify warehouse tables.
Execute dbt run for targeted models, tags, or selectors on demand.
Trigger dbt docs generation and publish updated lineage for Shopify data flows.
Run dbt tests against Shopify-sourced tables to validate data quality.
Fires when order batches are placed, useful for triggering incremental model refreshes.
Detects when products, variants, or collections are added or modified.
Triggers when stock counts update across locations, signaling potential model impacts.
Write dbt-calculated metrics like velocity scores or margin data back to products.
Apply customer tags based on dbt-derived cohort or LTV classifications.
Generate and publish analytics reports to Shopify admin using dbt model outputs.
See how Redbird AI syncs dbt and Shopify in minutes—no pipeline engineering required. Build workflows that keep your analytics models in lockstep with every sale.