Automate the flow between your e-commerce platform and data lakehouse. Stop manually exporting order CSVs, rebuilding product catalogs in SQL, or waiting on engineering to sync inventory updates. Redbird keeps your Databricks lakehouse fresh with Shopify data and pushes ML-driven insights back to your storefront.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest order confirmations, refunds, and customer behavior into Databricks as structured Delta tables. Keep your data lakehouse synchronized with your storefront in real time, enabling up-to-date cohort analysis, churn modeling, and revenue reporting without manual CSV uploads or API polling scripts.
Run recommendation models in Databricks and write predicted cross-sell tags, collection assignments, or discount eligibility directly into Shopify product fields. Marketing and merchandising teams see model outputs surfaced in the Shopify admin, ready to drive campaigns and personalized storefronts without manual tagging.
When your Databricks ML pipeline predicts stockouts or identifies high-velocity SKUs, automatically update inventory levels or create draft purchase orders in Shopify. Supply chain teams act on forecasts immediately, reducing out-of-stock incidents and aligning purchasing with predictive insights instead of lagging indicators.
Calculate LTV, propensity scores, and segment memberships in Databricks, then write results back to Shopify customer tags or metafields. Enable support and marketing teams to see model-driven insights directly in the Shopify admin during order reviews, customer service interactions, or campaign targeting.
Continuously archive order history, product catalog changes, and inventory movements into versioned Delta tables in Databricks. Maintain a complete, queryable record of your e-commerce operations for compliance, multi-year trend analysis, and training time-series forecasting models without hitting Shopify API rate limits.
Monitor product performance metrics in your Databricks feature store and trigger Shopify admin notifications or update product statuses when conversion rates, margin compression, or competitor pricing signals cross thresholds. Merchandising teams respond to anomalies in real time, adjusting pricing or promotions without waiting for weekly reports.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Shopify 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 understands Databricks Delta table schemas and Shopify's REST and GraphQL APIs, so you can move e-commerce data, ML outputs, and analytics between systems without custom connectors or schema mapping.
Redbird maps Shopify order line items, variants, and customer objects to Delta Lake schemas, handling nested JSON from webhooks and GraphQL responses. It recognizes when you're running feature engineering on order histories or writing model predictions back to product metafields, custom collections, or customer tags. The platform automatically handles Shopify's API versioning, rate limits, and bulk operation patterns while orchestrating Databricks jobs, streaming writes, and Delta merge operations—so your pipelines stay reliable as both platforms evolve.
faster than building custom Shopify-to-Databricks sync jobs with Spark and REST clients
Redbird can pull from Databricks and Shopify 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 Databricks or Shopify.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Databricks into Shopify, or from Shopify back into Databricks. 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 Databricks or Shopify—new job completions, order placements, Delta table updates, or inventory changes.
Fire workflows when ETL, feature engineering, or ML training jobs finish successfully or fail.
Respond to new rows, schema changes, or streaming appends in any Delta Lake table.
Trigger actions when a new model version is logged to MLflow or promoted to production.
Execute parameterized notebooks for ad-hoc analysis, model retraining, or data validation.
Insert, update, or merge records into Delta Lake tables with schema enforcement.
Run SQL queries against Databricks SQL endpoints and route results to downstream actions.
Start workflows when new orders are placed, payments confirmed, or fulfillment status changes.
Trigger when products are published, variants updated, or inventory levels adjusted.
Respond to new customer signups, address changes, or tag modifications in Shopify.
Write custom data like ML scores, recommendations, or analytics tags to product records.
Add or remove customer tags for segmentation, LTV cohorts, or churn risk groups.
Increase or decrease stock levels for SKUs based on forecasts or demand signals.
Sync Databricks and Shopify in minutes. Turn e-commerce data into lakehouse analytics and push ML insights back to your storefront—without building custom pipelines or managing API integrations.