Connect Amazon Seller Central and
Looker with AI

Redbird AI syncs your Amazon sales, inventory, and advertising data directly into Looker for real-time dashboards and governed metrics. Stop exporting CSV files, wrestling with SP-API schemas, or maintaining brittle ETL scripts to get Amazon data into your warehouse.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync Amazon sales and order data into Looker data models daily

Automatically extract order-level data, fulfillment status, and transaction details from Seller Central and load it into your warehouse. Redbird maps Amazon's nested API responses to your LookML dimensions and measures, ensuring consistent sales metrics across all dashboards.

Build inventory velocity dashboards with live Amazon stock levels

Stream FBA and FBM inventory quantities, aged inventory alerts, and restock recommendations into Looker. Teams can explore inventory health by SKU, fulfillment center, or product category without manual spreadsheet merges.

Aggregate advertising spend and ACOS metrics for campaign performance analysis

Pull Sponsored Products, Brands, and Display campaign data from Amazon Ads into Looker alongside organic sales. Redbird normalizes advertising metrics to match your LookML semantic layer, enabling apples-to-apples comparison across marketing channels.

Alert teams when seller account health metrics deteriorate in Amazon

Monitor order defect rate, late shipment rate, and policy violations from Seller Central. When thresholds are breached, Redbird triggers alerts in Looker dashboards and sends notifications to operations teams before account suspensions occur.

Consolidate returns and refund data for customer lifetime value models

Sync return requests, refund amounts, and return reasons from Amazon into your data warehouse. Looker explores can then join this data with customer cohorts, product categories, and support tickets to surface patterns driving negative margins.

Archive historical Amazon performance data for multi-year trend analysis

Continuously capture seller metrics, buybox percentages, and competitive pricing snapshots from Amazon. Redbird maintains full historical context in your warehouse, enabling Looker to power year-over-year comparisons and seasonal forecasting models that Amazon's native reporting can't support.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Amazon Seller Central and Looker with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands Amazon Seller Central's SP-API schema and Looker's LookML semantic layer, so your Amazon marketplace data flows into governed analytics models without custom code.

AI that reads Amazon's nested data structures and your LookML

Amazon's SP-API returns deeply nested JSON for orders, inventory, and advertising—product variations, fulfillment nodes, fee breakdowns, and campaign hierarchies that don't map cleanly to tables. Redbird's AI automatically flattens these structures, joins related entities, and aligns them with your existing LookML dimensions and measures. When you add new explores or refine metric definitions in Looker, Redbird adapts the data pipeline to maintain consistency across your entire semantic layer.

SP-API order schemas
FBA inventory feeds
Advertising campaign hierarchies
LookML dimension mapping
10×

faster than building custom SP-API connectors and ETL for Amazon data

No API authentication management, no JSON parsing scripts, no manual LookML updates when Amazon changes field names

Auto-generated reports

Redbird can pull from Amazon Seller Central and Looker simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Amazon Seller Central or Looker.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Amazon Seller Central into Looker, or from Looker back into Amazon Seller Central. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start workflows from any event in Amazon Seller Central or Looker—new orders, inventory alerts, dashboard refreshes, or metric threshold breaches.

Amazon Seller Central
Triggers & Actions
Trigger

New order placed

Fires when a customer completes a purchase on Amazon for products in your catalog.

Trigger

Inventory level falls below threshold

Triggers when available FBA or FBM stock drops below your defined restock point for any SKU.

Trigger

Account health metric changes

Detects updates to order defect rate, late shipment rate, or policy compliance scores in Seller Central.

Action

Update product listing details

Modify titles, bullet points, descriptions, or backend keywords for existing ASINs in your catalog.

Action

Adjust pricing for SKU or group

Change list prices or business pricing tiers based on competitor data or margin rules.

Action

Create FBA shipment plan

Generate inbound shipment requests with SKU quantities and destination fulfillment centers.

Looker
Triggers & Actions
Trigger

Scheduled dashboard refresh completes

Fires when a Looker Look or dashboard finishes its automated data refresh cycle.

Trigger

Metric threshold crossed in explore

Triggers when any measure in a Looker explore exceeds or falls below a defined boundary value.

Trigger

New user accesses embedded analytics

Detects when a customer or internal user views an embedded Looker dashboard for the first time.

Action

Update LookML dimension or measure

Programmatically modify metric definitions, joins, or dimension groups in your Looker project repository.

Action

Send scheduled report to stakeholders

Deliver formatted Looks or dashboard PDFs to email recipients or Slack channels on a recurring cadence.

Action

Write results back to data warehouse

Push filtered explore results or aggregated metrics into BigQuery, Snowflake, or Redshift tables for downstream use.

Amazon Seller Central
+
Looker

Ready to connect your stack?

See how Redbird syncs Amazon Seller Central and Looker in minutes. Stop maintaining custom SP-API scripts and start exploring Amazon marketplace data in your governed semantic layer.

Get started → Book a demo