Connect Amazon Seller Central and
Redshift with AI

Stop manually exporting seller reports and stitching together marketplace data. Redbird AI syncs your Amazon sales, inventory, orders, and advertising data directly into Redshift—automatically structured, deduplicated, and ready for analysis at scale.

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.

Stream Amazon order and fulfillment data into Redshift for historical analytics

Automatically capture every order, shipment, and return event from Seller Central and load it into Redshift tables. Build complete customer journey analytics and long-term sales trend reporting without manual CSV exports or API scripting.

Sync inventory levels and velocity metrics to centralized data warehouse

Pull real-time inventory counts, restock alerts, and sell-through rates from Amazon into Redshift. Combine with warehouse management and procurement data for unified stock planning and forecasting models.

Consolidate advertising spend and ACOS data for cross-channel attribution

Ingest Sponsored Products, Brands, and Display campaign performance from Seller Central into Redshift alongside Google Ads and Meta spend. Build unified marketing dashboards that show true ROI across all channels.

Archive seller performance and account health metrics for compliance tracking

Automatically store daily snapshots of account health scores, policy warnings, customer feedback, and seller ratings in Redshift. Maintain audit trails and historical compliance records without manual screenshots or downloads.

Enrich Amazon transaction data with customer and product dimensions from Redshift

Join Seller Central order IDs with enriched customer segments, product categories, and margin data stored in Redshift. Push combined datasets back to BI tools with full attribution and profitability context already attached.

Trigger inventory replenishment alerts based on Redshift forecast models

Use Redshift's analytics to predict stockouts and automatically flag SKUs in Seller Central that need reordering. Close the loop between predictive modeling and operational action without manual intervention.

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 Redshift 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 AI understands Amazon Seller Central's reporting structure and Redshift's columnar schema, so your marketplace data pipelines work without custom ETL code.

AI that maps Seller Central reports to Redshift tables automatically

Redbird interprets Amazon's order detail reports, inventory snapshots, advertising exports, and settlement files—then intelligently maps them to your Redshift star schema. It handles variant SKUs, parent-child ASINs, fulfillment channel splits, and timezone conversions. The AI deduplicates overlapping report windows, preserves historical grain, and creates surrogate keys that join cleanly with your existing fact and dimension tables.

Order & fulfillment event capture
Inventory & restock rate sync
Advertising campaign & ACOS tracking
Account health & review archiving
10×

faster than building custom Seller Central API connectors and Redshift COPY jobs

No Python scripts, S3 staging buckets, or cron job orchestration required

Auto-generated reports

Redbird can pull from Amazon Seller Central and Redshift 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 Redshift.

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 Redshift, or from Redshift 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 query result in Redshift—Redbird handles the rest.

Amazon Seller Central
Triggers & Actions
Trigger

New order placed

Fires when a customer completes a purchase for one of your listings.

Trigger

Inventory level falls below threshold

Triggers when available units for a SKU drop below your specified restock point.

Trigger

Account health score changes

Detects shifts in your seller performance rating, policy compliance, or customer service metrics.

Action

Fetch order detail report

Pulls structured order, item, and shipment data for a specified date range.

Action

Retrieve advertising campaign performance

Exports Sponsored Products and Brands metrics including spend, impressions, and ACOS.

Action

Pull inventory ledger snapshot

Downloads current stock levels, reserved quantities, and fulfillment channel breakdowns.

Redshift
Triggers & Actions
Trigger

Query result exceeds threshold

Fires when a scheduled Redshift query returns a value above or below your defined limit.

Trigger

New rows inserted into table

Detects when fresh data lands in a Redshift fact or dimension table.

Trigger

Data anomaly detected

Triggers when Redbird's AI spots unusual patterns in warehouse query results or row counts.

Action

Insert rows into table

Writes new records to a Redshift table with proper schema mapping and data type conversion.

Action

Execute parameterized query

Runs a custom SQL statement with dynamic filters, aggregations, or joins.

Action

Upsert dimension or fact records

Merges incoming data with existing Redshift tables using primary key matching and SCD logic.

Amazon Seller Central
+
Redshift

Ready to connect your stack?

Sync Amazon Seller Central to Redshift in minutes. Let Redbird AI handle the mapping, scheduling, and schema evolution—so your team can focus on insights, not pipelines.

Get started → Book a demo