Redbird AI automates the pipeline between your Amazon seller data and dbt transformation workflows. Stop manually exporting sales reports, inventory snapshots, and advertising metrics—sync Amazon Seller Central directly into your data warehouse and let dbt models update automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Extract order-level transactions, fulfillment status, and customer data from Seller Central each day and load into dbt staging tables. Keep your data warehouse current without manual CSV exports or brittle API scripts.
Pull current inventory positions, restock alerts, and FBA storage metrics into your warehouse. Trigger dbt model refreshes to calculate days-of-supply, turnover rates, and replenishment forecasts whenever inventory changes.
Stream Amazon Ads campaign data, keyword performance, and attribution metrics from Seller Central into dbt. Combine with sales data to build comprehensive ROAS and profitability models that update on your schedule.
Monitor dbt test results and job statuses for models dependent on Amazon data. Automatically notify stakeholders when data quality issues or transformation failures impact seller performance dashboards.
Capture point-in-time seller metrics, account health scores, and customer feedback ratings from Amazon. Store versioned snapshots in your warehouse and build dbt models that track longitudinal performance trends.
Merge Seller Central fee structures, FBA costs, and return rates with sales transactions in dbt. Build automated margin analysis models that break down true profitability by ASIN, category, and fulfillment method.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Seller Central and dbt 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 Amazon Seller Central's nested report structures and dbt's transformation layer semantics—so your e-commerce data flows cleanly into analytics-ready models.
Redbird automatically interprets Seller Central's complex report formats—settlement statements, inventory ledgers, advertising performance exports—and translates them into clean staging tables. The AI understands FBA fee breakdowns, multi-channel fulfillment data, and customer metrics hierarchies, then intelligently suggests dbt model structures that match your warehouse conventions. No custom parsing scripts or brittle field mappings—just seller data that flows into transformation pipelines ready for analysis.
faster than building custom Seller Central extractors and dbt incremental models
Redbird can pull from Amazon Seller Central and dbt 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 Amazon Seller Central or dbt.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon Seller Central into dbt, or from dbt back into Amazon Seller Central. 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 automations from any seller event or dbt job status—connect marketplace operations to your transformation workflows.
Trigger when new orders appear in Seller Central—sync transaction details to staging tables immediately.
Fire when any SKU falls below restock point—update inventory models and alert supply chain teams.
Activate when Amazon produces settlement files—extract payment, fee, and refund data for reconciliation models.
Pull order-level sales data for specified periods and load into warehouse staging tables.
Retrieve campaign spend, impressions, and conversion data for transformation into ROAS models.
Query real-time fulfillment center stock levels and sync to inventory dimension tables.
Trigger when specific dbt models finish—use freshly transformed seller data in downstream processes.
Fire when dbt tests detect anomalies in Seller Central data—alert data ops before bad data propagates.
Activate when dbt incremental jobs add rows from Amazon sources—trigger dependent analytics refreshes.
Execute targeted model subsets when new Amazon data arrives—refresh only seller performance models.
Orchestrate complete transformation runs synchronized with Seller Central data extraction cadence.
Automatically update lineage documentation when Seller Central source schemas or models change.
Stop wrangling Amazon exports and building custom ETL. Redbird AI connects Seller Central to dbt so your e-commerce data flows into transformation pipelines automatically.