Redbird AI automates the flow of retail operational data between Oracle Retail and BigQuery, eliminating manual exports and CSV uploads. Stop copying inventory snapshots, sales data, and merchandise planning metrics between systems—let AI handle the sync, transformation, and analysis.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture inventory levels across all stores and distribution centers from Oracle Retail and load them into BigQuery tables. Transform SKU hierarchies, location codes, and on-hand quantities into analytics-ready datasets. Enable real-time stock visibility dashboards without waiting for nightly batch jobs.
Run ML-powered demand forecasting in BigQuery and automatically update Oracle Retail's replenishment parameters. Sync predicted demand by SKU and location to drive smarter purchase orders. Close the loop between advanced analytics and operational planning systems.
Extract daily sales, markdowns, and margin data from Oracle Retail into BigQuery for analysis. Automatically aggregate by category, store cluster, and time period. Generate and distribute formatted performance reports to merchandising teams without manual data pulls.
Combine supplier performance metrics from Oracle Retail with external data sources stored in BigQuery. Add market trend indicators, pricing benchmarks, and risk scores to vendor records. Sync enriched supplier profiles back to Oracle Retail for informed purchasing decisions.
Monitor inventory data synced from Oracle Retail using BigQuery ML anomaly detection models. Automatically flag unusual stock movements, unexpected sellthrough rates, or replenishment issues. Trigger notifications to merchandising and planning teams with context from both systems.
Automatically move aged transaction records, purchase orders, and planning history from Oracle Retail to BigQuery. Maintain complete audit trails and enable multi-year trend analysis without bloating operational systems. Keep Oracle Retail performant while preserving analytical depth.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and Oracle Retail 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 Oracle Retail's merchandising hierarchies and operational schemas alongside BigQuery's analytical table structures, automating transformations that typically require custom ETL code.
Redbird automatically maps Oracle Retail's item masters, location hierarchies, inventory positions, and transaction logs to BigQuery's columnar schema. The platform understands retail-specific structures like SKU attributes, store clusters, planning calendars, and supplier relationships—transforming them into analytics-ready tables without custom scripting. Whether you're syncing real-time inventory snapshots or historical purchase order data, Redbird handles schema evolution, data type conversions, and retail business logic natively.
faster than building custom Oracle Retail to BigQuery ETL pipelines
Redbird can pull from BigQuery and Oracle Retail 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 BigQuery or Oracle Retail.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into Oracle Retail, or from Oracle Retail back into BigQuery. 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 BigQuery or Oracle Retail—Redbird handles the rest across both platforms.
Trigger when fresh data lands in a BigQuery table, such as ML model outputs or aggregated analytics.
Launch workflows when a BigQuery scheduled query finishes processing analytical workloads.
Respond when BigQuery ML models flag unusual patterns in retail data streams.
Insert or append retail operational data from Oracle into BigQuery tables automatically.
Execute BigQuery SQL with dynamic parameters from Oracle Retail events or records.
Modify BigQuery table structures when Oracle Retail adds new fields or attributes.
Fire when stock levels change in Oracle Retail stores or distribution centers.
Trigger workflows when new POs are issued or existing orders are updated in Oracle Retail.
Respond when buyers update assortment plans, allocations, or forecasts in Oracle Retail.
Sync optimized min/max levels or reorder points from BigQuery models back to Oracle Retail.
Push enriched product data, classifications, or tags from BigQuery into Oracle Retail item masters.
Write calculated vendor metrics and risk indicators from BigQuery back to Oracle Retail supplier records.
Stop manually exporting Oracle Retail data to BigQuery or building fragile ETL scripts. Redbird AI connects your retail operations to cloud analytics automatically, so your team can focus on insights instead of data pipelines.