Connect BigQuery and
Shopify with AI

Stop exporting CSVs from Shopify and manually loading them into BigQuery. Redbird AI syncs your e-commerce data to your warehouse automatically, enriches it with analytics-ready transformations, and keeps product catalogs and inventory in sync bidirectionally.

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.

Sync Shopify orders, products, and customers to BigQuery in real-time

Automatically stream order transactions, product catalog changes, and customer records from Shopify into structured BigQuery tables. Redbird maps Shopify's nested JSON to normalized schemas, handles incremental updates, and maintains historical snapshots for time-series analysis.

Update Shopify inventory levels from BigQuery demand forecasting models

Push inventory recommendations generated by BigQuery ML models back into Shopify as updated stock levels. Redbird reads forecast outputs, validates against current inventory tables, and updates product variants in bulk while logging all changes for audit.

Enrich Shopify customer records with BigQuery lifetime value and cohort analysis

Calculate customer LTV, churn risk scores, and segment assignments in BigQuery, then write those attributes back to Shopify customer metafields. Teams can use enriched data for personalized email campaigns, loyalty programs, and targeted discounts without leaving Shopify.

Archive Shopify order history to BigQuery for long-term analytics retention

Automatically move completed orders older than 90 days from Shopify into BigQuery partitioned tables. Redbird preserves full order line items, fulfillment status, refunds, and payment metadata in a queryable format optimized for cost-effective historical analysis.

Alert merchandising teams when BigQuery detects inventory anomalies in Shopify data

Run scheduled BigQuery queries that identify stockouts, unusual price changes, or negative inventory values in synced Shopify data. When anomalies are detected, Redbird triggers notifications and can automatically create Shopify draft orders or product flags for review.

Generate daily sales reports in BigQuery from Shopify transactions for executive dashboards

Consolidate Shopify sales, refunds, discounts, and shipping data in BigQuery, join with marketing spend from other sources, and output formatted reports to visualization tools. Redbird handles timezone conversions, currency normalization, and multi-location aggregations automatically.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize BigQuery and Shopify 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 both BigQuery's columnar data structures and Shopify's REST API object models, automatically translating between warehouse schemas and e-commerce entities.

AI that speaks both warehouse SQL and Shopify APIs

Redbird's AI natively understands Shopify's nested order objects, product variants, metafields, and inventory locations, mapping them to normalized BigQuery tables with proper partitioning and clustering. It handles Shopify's rate limits, pagination, and webhook payloads while generating optimized SQL for incremental loads and upserts. When writing data back to Shopify, Redbird validates schema compatibility, batches API calls efficiently, and maintains referential integrity between products, variants, and inventory items.

Shopify order line items → BigQuery nested records
Product variant SKUs mapped to warehouse dimensions
Customer metafields synced as JSON columns
Inventory location hierarchies preserved in tables
10×

faster than building custom ETL pipelines from Shopify to BigQuery

No Airflow DAGs, custom Python scripts, or manual schema migrations required

Auto-generated reports

Redbird can pull from BigQuery and Shopify 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 BigQuery or Shopify.

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 BigQuery into Shopify, or from Shopify back into BigQuery. 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 BigQuery query result or Shopify event, and automate actions across both platforms.

BigQuery
Triggers & Actions
Trigger

Query result exceeds threshold

Trigger when a scheduled BigQuery query returns row counts, sums, or metrics above configured limits.

Trigger

Table updated or inserted

Fire workflows when new rows are inserted or existing records are modified in specified BigQuery tables.

Trigger

ML model prediction completed

Activate when BigQuery ML model scoring jobs finish and prediction tables are updated with new results.

Action

Run parameterized SQL query

Execute BigQuery SQL with dynamic parameters from workflow context and return results for downstream steps.

Action

Insert or update table rows

Write new records or upsert existing rows in BigQuery tables using MERGE statements with conflict resolution.

Action

Create partitioned table from results

Generate new date-partitioned or integer-range partitioned tables from query outputs with automatic clustering.

Shopify
Triggers & Actions
Trigger

New order created

Trigger when a customer completes checkout and a new order is created in Shopify with payment confirmed.

Trigger

Product or variant updated

Fire when product details, pricing, inventory levels, or variant attributes change in the Shopify catalog.

Trigger

Inventory level drops below threshold

Activate when product variant stock at any location falls below configured minimum quantities.

Action

Update product or variant fields

Modify product titles, descriptions, pricing, SKUs, or variant-level attributes in the Shopify catalog.

Action

Adjust inventory quantities

Set or increment inventory levels for specific variants across single or multiple Shopify locations.

Action

Add customer tags or metafields

Append tags for segmentation or write custom metafield data to customer records for personalization.

BigQuery
+
Shopify

Ready to connect your stack?

Join data and analytics teams using Redbird AI to sync Shopify e-commerce data into BigQuery without custom pipelines or manual exports.

Get started → Book a demo