Connect BigQuery and
Salesforce Commerce Cloud with AI

Redbird AI syncs commerce data between your Salesforce storefront and BigQuery warehouse automatically. Stop exporting CSVs, writing custom ETL scripts, or waiting days for commerce insights. Let AI handle the data flow so your team can focus on optimizing the customer experience.

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 order and transaction data from Commerce Cloud into BigQuery tables

Automatically stream order data, line items, and transaction details from Salesforce Commerce Cloud into structured BigQuery tables. Redbird maps Commerce Cloud's nested JSON order structures to optimized warehouse schemas, handling incremental updates and deduplication. Your analytics team gets real-time access to commerce data without building custom pipelines.

Push BigQuery customer segments back to Commerce Cloud for personalization

Run sophisticated segmentation models in BigQuery—RFM analysis, CLV predictions, product affinity clustering—then sync those customer segments directly to Commerce Cloud. Redbird translates BigQuery query results into Commerce Cloud customer groups and attributes, enabling merchandising teams to personalize storefronts based on warehouse-grade analytics without manual uploads.

Generate automated merchandising reports from BigQuery analytics back to Commerce teams

Query BigQuery for product performance metrics, inventory turn rates, and category trends, then deliver formatted reports directly to Salesforce dashboards or notifications. Redbird handles the translation between BigQuery's analytical output and Commerce Cloud's reporting structures, so merchandising managers see insights where they work.

Alert Commerce teams when BigQuery detects inventory or demand anomalies

Monitor BigQuery for statistical anomalies in demand forecasts, stockout risks, or unusual purchase patterns, then trigger alerts or workflow updates in Commerce Cloud. Redbird watches your warehouse queries and converts analytical signals into actionable Commerce Cloud events—updating product visibility, triggering promotions, or notifying merchandising teams.

Archive historical Commerce Cloud catalog and pricing data to BigQuery

Automatically capture point-in-time snapshots of Commerce Cloud product catalogs, pricing rules, and promotion configurations into BigQuery. Redbird preserves the full schema context and relationships, creating a complete historical record for compliance, trend analysis, and pricing optimization without bloating your Commerce Cloud instance.

Enrich Commerce Cloud customer profiles with BigQuery cross-channel behavior data

Combine Commerce Cloud transaction data with external touchpoints stored in BigQuery—support tickets, marketing engagement, mobile app usage—then push unified customer profiles back to Commerce Cloud. Redbird joins disparate data sources in the warehouse and maps enriched attributes to Commerce Cloud's customer schema, enabling truly omnichannel personalization.

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 Salesforce Commerce Cloud 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 analytics schemas and Commerce Cloud's complex commerce object hierarchy—so you can connect enterprise e-commerce to warehouse-scale analytics without translation layers.

AI that speaks BigQuery tables and Commerce Cloud catalogs

Redbird automatically maps Commerce Cloud's nested order structures, product catalogs, and customer objects to optimized BigQuery table schemas. It understands Commerce Cloud's site-specific data partitioning, price book hierarchies, and inventory location logic—then translates those into efficient warehouse models with proper keys and indexes. When syncing data back, Redbird respects Commerce Cloud's API rate limits, batch requirements, and relationship constraints. No manual schema design or custom field mapping required.

Order & line item flattening
Product catalog versioning
Customer segment translation
Incremental sync with deduplication
10×

faster than building custom Commerce Cloud to BigQuery ETL pipelines

No Cloud Functions, custom Python scripts, or schema mapping documentation to maintain

Auto-generated reports

Redbird can pull from BigQuery and Salesforce Commerce Cloud 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 Salesforce Commerce Cloud.

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 Salesforce Commerce Cloud, or from Salesforce Commerce Cloud 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 automations from any BigQuery query result or Commerce Cloud event—Redbird handles the connection logic between your warehouse and storefront.

BigQuery
Triggers & Actions
Trigger

Query returns new rows

Trigger workflows when a scheduled or streaming BigQuery query identifies new records matching your conditions.

Trigger

Table row count threshold crossed

Detect when a BigQuery table grows beyond a threshold, signaling volume changes in commerce data.

Trigger

ML model prediction completes

React when BigQuery ML completes customer segmentation, churn prediction, or demand forecasting models.

Action

Insert rows into table

Write Commerce Cloud order, product, or customer data into structured BigQuery tables with proper schemas.

Action

Run parameterized query

Execute BigQuery SQL with Commerce Cloud data as parameters—for lookups, aggregations, or model scoring.

Action

Create or update materialized view

Refresh BigQuery materialized views when Commerce Cloud data changes to keep analytics current.

Salesforce Commerce Cloud
Triggers & Actions
Trigger

Order placed or updated

React to new orders, status changes, or modifications in Commerce Cloud to sync transaction data to BigQuery.

Trigger

Product catalog updated

Detect when products are added, modified, or deactivated in Commerce Cloud to maintain warehouse catalogs.

Trigger

Inventory level threshold reached

Trigger analytics workflows when Commerce Cloud inventory crosses reorder points or stockout thresholds.

Action

Update customer attributes

Push BigQuery-derived segments, scores, or enrichment data to Commerce Cloud customer profiles for personalization.

Action

Create or update customer group

Sync BigQuery segmentation results to Commerce Cloud customer groups to enable targeted merchandising.

Action

Update product search ranking

Apply BigQuery analytics—conversion rates, margin analysis, demand forecasts—to adjust Commerce Cloud product visibility.

BigQuery
+
Salesforce Commerce Cloud

Ready to connect your stack?

Connect BigQuery and Salesforce Commerce Cloud in minutes. Redbird AI handles the schema mapping, sync logic, and data transformation so your commerce and analytics teams work from the same data.

Get started → Book a demo