Redbird AI automates data pipelines between your Shopify storefront and Google Cloud Storage. Stop manually exporting orders, syncing product catalogs, or writing scripts to move sales data into your data lake. Let AI handle the entire flow from commerce events to cloud storage and back.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically export completed Shopify orders, line items, and customer details to Google Cloud Storage in Parquet or JSON format. Partition by date and store in your data lake for historical analysis, compliance, and machine learning model training.
Pull inventory recommendations and restocking signals from GCS files generated by your ML pipelines. Automatically update Shopify variant inventory levels and trigger low-stock alerts based on your forecasting models.
Stream Shopify order events, refunds, and fulfillment updates to Google Cloud Storage as they happen. Feed your BigQuery tables, Looker dashboards, and data science notebooks with fresh e-commerce data without delay.
Use AI to analyze brand guidelines, competitor research, and product images stored in GCS. Generate optimized product descriptions, meta tags, and SEO content, then push directly to Shopify product listings.
Schedule automatic extracts of Shopify refund transactions, return reasons, and adjustment details to Google Cloud Storage. Structure data for accounting system imports and financial reporting without manual CSV downloads.
Apply competitive pricing, demand-based adjustments, or promotional pricing calculated by your data team and stored in GCS. Automatically update Shopify product and variant prices on schedule or when new pricing files are uploaded.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 both Shopify's commerce data model and Google Cloud Storage's object hierarchy, so you can move structured e-commerce data into your data lake without transformation scripts.
Redbird maps Shopify entities like orders, products, variants, customers, and fulfillments to properly structured files in Google Cloud Storage. It handles nested line items, metafields, and inventory tracking fields, then writes them as queryable Parquet, JSON, or CSV with the right partitioning for BigQuery. No need to parse webhook payloads or write Dataflow jobs — Redbird knows how to structure commerce data for analytics workloads.
faster than building Cloud Functions and Pub/Sub pipelines to sync Shopify data to GCS
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into Shopify, or from Shopify back into Google Cloud Storage. 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 workflows from new orders in Shopify or new files landing in GCS — Redbird handles the rest across both platforms.
Trigger when a file lands in a specific GCS bucket or prefix path.
Detect when an existing file in GCS is modified or replaced.
Run workflows on a schedule to process all files matching a pattern in GCS.
Upload Shopify data as Parquet, JSON, or CSV to a specified GCS path.
Add new records to an existing file in GCS without overwriting.
Organize uploaded files into date-based folder structures for time-series analysis.
Trigger when a customer completes checkout and a new order is placed.
Detect when an order's fulfillment status changes to fulfilled.
Trigger when inventory levels change for a product or variant.
Modify product titles, descriptions, pricing, or inventory from GCS data sources.
Sync enriched customer data from GCS back into Shopify customer profiles.
Update stock quantities across Shopify locations based on forecasting outputs in GCS.
Automate the flow between your Shopify storefront and Google Cloud Storage data lake. Build pipelines that sync orders, enrich products, and power analytics — all without writing code or managing infrastructure.