Redbird AI automates the flow of seller performance, inventory, and order data from Amazon Seller Central into Databricks. Stop exporting CSVs, writing brittle scripts, or waiting on engineering to refresh your lakehouse tables. Keep your ML models and analytics pipelines current with real-time marketplace data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest settlement reports, order details, and fulfillment status from Seller Central into Databricks Delta tables. Redbird handles incremental updates, deduplication, and schema evolution so your lakehouse always reflects current marketplace activity without manual file uploads.
Flow inventory levels, sell-through rates, and restock recommendations from Amazon into feature tables in Databricks. Train ML models on historical sales velocity and seasonality, then automate retraining as new marketplace data arrives to improve forecast accuracy.
Combine Sponsored Products spend, impressions, and conversions with organic order data in Databricks. Run cross-channel attribution models and ROAS analysis across your entire Amazon presence without stitching together multiple report downloads.
Push dynamic pricing outputs from Databricks models directly to Amazon Seller Central SKUs. Automate competitive price adjustments based on demand forecasts, inventory position, and profitability thresholds calculated in your lakehouse without manual repricing workflows.
Automatically capture account health ratings, customer feedback, A-to-Z claims, and policy notifications into versioned Delta tables. Maintain audit trails and historical snapshots for compliance reviews, chargebacks analysis, and long-term seller performance benchmarking.
Run anomaly detection models in Databricks on order defect rates, late shipment metrics, and return volumes. Trigger alerts and push flagged ASINs or seller accounts back to Amazon dashboards when models detect statistically significant performance degradation requiring immediate action.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon Seller Central and Databricks 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 both Amazon Seller Central's marketplace data structures and Databricks' lakehouse architecture, automatically mapping seller reports to optimized Delta table schemas.
Redbird's AI automatically interprets Amazon's settlement reports, inventory feeds, advertising data, and order line items — then maps them to Databricks Delta tables with proper partitioning and optimization. It handles Amazon's nested product attributes, variant hierarchies, and fulfillment channel complexity, generating appropriate schemas and merge logic for slowly changing dimensions. When Amazon updates report formats or you refactor your lakehouse structure, Redbird adapts without breaking pipelines.
faster seller data pipelines vs custom Spark scripts
Redbird can pull from Amazon Seller Central and Databricks 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 Databricks.
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 Databricks, or from Databricks 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 in Amazon or table update in Databricks — no code required.
Trigger when Amazon generates a new settlement period report with transaction-level financial data.
Fire when available inventory for an ASIN falls below your restock point across fulfillment centers.
Trigger on updates to order defect rate, late shipment rate, or policy violation status.
Modify the sale price for a SKU or ASIN in your Seller Central catalog.
Update available inventory levels for FBM listings or create removal orders for FBA stock.
Add new ASINs to your catalog or modify titles, descriptions, images, and attributes for existing listings.
Fire when new data is appended to a specified Delta Lake table in your lakehouse.
Trigger when a scheduled MLflow model training run finishes and registers a new model version.
Fire when a Databricks job or notebook completes, whether successful or failed.
Insert, update, or merge data into a Delta Lake table with automatic schema handling.
Run a parameterized SQL statement or trigger a Databricks notebook with custom variables.
Refresh feature values in a Databricks Feature Store table for real-time model inference.
Stop building custom ETL for Amazon seller data. Redbird AI connects Amazon Seller Central and Databricks in minutes, keeping your lakehouse synchronized with marketplace performance without engineering overhead.