Connect Amazon Seller Central and
Kafka with AI

Stream Amazon marketplace data to Kafka in real-time without building custom API integrations. Stop manually exporting sales reports, polling for order updates, or writing fragile scripts to sync inventory changes—Redbird AI automates the entire pipeline from Seller Central to your event-driven architecture.

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 order events to Kafka topics for real-time fulfillment orchestration

Publish every order status change, cancellation, and refund request from Amazon Seller Central to dedicated Kafka topics. Enable downstream systems to react instantly—triggering warehouse automation, updating inventory allocations, or alerting customer service teams without polling delays.

Push inventory level changes to Kafka for real-time stock visibility

Stream inventory updates from Seller Central to Kafka as they happen, creating an event log of stock movements across all fulfillment channels. Power real-time dashboards, trigger reorder workflows, and keep your warehouse management system perfectly synchronized without batch exports.

Broadcast product listing changes and pricing updates to event consumers

Capture every product detail modification, price change, and listing status update from Seller Central as Kafka events. Enable competitor monitoring systems, pricing algorithms, and catalog management tools to react to marketplace changes in real-time instead of daily reconciliation jobs.

Stream Buy Box metrics and performance data to analytics platforms

Publish Seller Central performance metrics—Buy Box percentage, conversion rates, advertising spend, and account health scores—to Kafka topics for real-time analytics. Feed data science pipelines, trigger performance alerts, and power executive dashboards without manual report downloads.

Ingest customer review and seller feedback events for sentiment analysis

Stream new reviews, ratings, and seller feedback from Amazon to Kafka as they're posted. Enable real-time sentiment analysis, product quality monitoring, and automated response workflows that react to customer feedback immediately instead of daily review scans.

Archive complete Seller Central activity log to Kafka for compliance and audit

Create an immutable event stream of all Amazon marketplace activity—every order, listing change, dispute, and transaction—in Kafka. Maintain complete audit trails for compliance, power long-term trend analysis, and replay historical events without depending on Amazon's retention policies.

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 Kafka 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 marketplace data model and Kafka's distributed streaming architecture—transforming seller portal exports into production-ready event streams.

AI that speaks both Amazon marketplace APIs and Kafka protocols

Redbird automatically maps Seller Central's order objects, inventory schemas, MWS/SP-API endpoints, and reporting structures to Kafka topic schemas with proper partitioning strategies. The platform handles Amazon's rate limits, pagination, and authentication flows while ensuring exactly-once delivery semantics. Whether you're streaming OrderItems, InventorySupplyList, or FinancialEvents, Redbird maintains schema evolution and backward compatibility across your Kafka consumers without manual Avro or Protobuf definitions.

Order & fulfillment event streaming
Inventory change data capture
Performance metrics publishing
Schema registry integration
10×

faster than building custom Seller Central to Kafka connectors

No custom MWS parsers, Kafka producer code, or schema mapping logic required

Auto-generated reports

Redbird can pull from Amazon Seller Central and Kafka 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 Kafka.

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 Kafka, or from Kafka 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 from any Amazon Seller Central event or publish to any Kafka topic—Redbird handles the streaming infrastructure and data transformation.

Amazon Seller Central
Triggers & Actions
Trigger

New order created

Trigger when a customer places a new order on your Amazon listings.

Trigger

Inventory level threshold crossed

Trigger when SKU quantities fall below specified levels or stock becomes available.

Trigger

Product review posted

Trigger when customers submit new ratings or reviews for your products.

Action

Update product listing details

Modify title, description, images, or attributes for existing Amazon listings.

Action

Adjust SKU pricing

Change competitive price points for products across your catalog.

Action

Sync inventory quantities

Update available stock levels for FBM items based on warehouse counts.

Kafka
Triggers & Actions
Trigger

Message arrives in topic

Trigger when new events are published to specified Kafka topics or partitions.

Trigger

Consumer group lag detected

Trigger when consumers fall behind processing threshold for topic partitions.

Trigger

Schema registry update

Trigger when new schema versions are registered for Kafka topics.

Action

Publish message to topic

Send events to Kafka topics with specified keys, partitions, and headers.

Action

Create new topic

Provision Kafka topics with defined partition counts and replication factors.

Action

Update topic configuration

Modify retention policies, compaction settings, or partition assignments.

Amazon Seller Central
+
Kafka

Ready to connect your stack?

Stream Amazon Seller Central data to Kafka in minutes—no custom connector development or infrastructure management. Redbird AI handles the complexity of real-time marketplace event streaming.

Get started → Book a demo