Redbird AI automates the flow of Amazon sales, inventory, and advertising data into BigQuery for analysis. Stop exporting CSV files, manually transforming Seller Central reports, or waiting on engineering to build ETL pipelines for your marketplace data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull order-level transaction data, including SKU, quantity, pricing, fees, and fulfillment status from Seller Central into BigQuery. Keep your data warehouse updated with fresh marketplace performance metrics without manual exports or custom API scripts.
Flow real-time inventory positions, velocity metrics, and stockout events from Amazon Seller Central into BigQuery tables. Enable analysts to model demand patterns, predict restock timing, and identify slow-moving SKUs using warehouse-scale analytics.
Combine Sponsored Products, Sponsored Brands, and Sponsored Display metrics with order-level sales data in BigQuery. Calculate true ROAS, attribute conversions across campaigns, and analyze ad performance against inventory and pricing changes in a single analytical environment.
Automatically capture and store Business Reports, Payment Reports, and FBA inventory snapshots in BigQuery with proper timestamps and versioning. Build multi-year trend analyses and seasonal forecasts without worrying about Amazon's 24-month data retention limits.
Pull account health metrics, customer feedback scores, A-to-Z claims, and policy violations into BigQuery for unified reporting. Combine marketplace health data with sales performance, compare across regions, and trigger alerts when metrics fall below thresholds.
Run pricing elasticity models and competitive analysis in BigQuery, then automatically update product prices in Amazon Seller Central based on data-driven recommendations. Close the loop between analytics and execution without manual spreadsheet updates or bulk file uploads.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Seller Central and BigQuery 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 reporting structure and BigQuery's data warehouse schemas, so your marketplace data flows cleanly into analytics-ready tables.
Redbird automatically maps Seller Central's nested report structures—order items, transaction fees, FBA events, advertising metrics—into properly typed BigQuery tables with appropriate partitioning and clustering. The AI handles Amazon's evolving API versions, normalizes marketplace-specific fields like ASIN and FNSKU, and structures time-series data for efficient querying. No manual schema design, no transformation scripts breaking when Amazon updates report formats.
faster than building custom Seller Central API integrations and transformation pipelines
Redbird can pull from Amazon Seller Central and BigQuery 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 BigQuery.
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 BigQuery, or from BigQuery 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 event in Amazon Seller Central or BigQuery—new orders, inventory changes, query completions, or custom business logic.
Trigger when a customer completes a purchase on your Amazon listings.
Fire when SKU available quantity reaches restock alert level.
Detect when performance indicators like ODR, cancellation rate, or policy violations update.
Modify the selling price for a specific ASIN or SKU.
Update available stock levels for FBM listings in Seller Central.
Add new products or modify existing listing details including titles, bullets, and attributes.
Trigger when a scheduled BigQuery SQL query finishes executing.
Fire when data is added to a specified BigQuery table or view.
Detect when query results cross defined business metric thresholds.
Write new records to a BigQuery table with proper schema mapping.
Run a custom SQL statement against your BigQuery datasets.
Modify BigQuery table structure including columns, types, and partitioning.
Sync Amazon Seller Central with BigQuery in minutes. Redbird AI handles the API complexity, data transformation, and ongoing maintenance so your team can focus on marketplace insights, not data pipelines.