Redbird AI syncs your Oracle Retail operational data directly into dbt transformation pipelines and pushes analytics outputs back to retail systems. Stop manually exporting merchandise planning data, chasing down inventory snapshots, or writing custom ETL scripts to bridge your retail stack and analytics layer.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Extract daily inventory positions across stores and DCs from Oracle Retail and load them into your data warehouse staging layer. Redbird schedules the sync and triggers dbt runs to transform raw retail data into analytics-ready models without manual exports.
Send aggregated demand signals and forecast adjustments computed in your dbt models directly to Oracle Retail merchandise planning tables. Keep planning teams working in familiar tools while leveraging advanced analytics built in your warehouse.
Automatically kick off dbt transformation runs the moment Oracle Retail finalizes weekly sales data or completes merchandise reconciliation. Ensures your analytics models always reflect the latest retail operational state without manual orchestration.
Monitor dbt test results on critical retail data models and send structured alerts back to Oracle Retail teams when inventory discrepancies or data quality issues are detected. Closes the loop between analytics validation and operational corrections.
Append supplier performance metrics, lead time analytics, and quality scores calculated in dbt models back to Oracle Retail supplier master data. Gives buyers complete context without switching between analytics dashboards and retail systems.
Capture point-in-time snapshots of Oracle Retail product hierarchies, assortment plans, and planning attributes as they change. Store them in versioned dbt seeds and documentation so analysts can reproduce historical reporting accurately.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize dbt 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 both dbt's transformation layer semantics and Oracle Retail's complex merchandise planning schemas, so you can automate the entire flow from operational retail data to governed analytics models.
Redbird maps Oracle Retail's merchandise hierarchies, inventory transaction tables, and planning dimensions directly to your dbt staging and mart models. It understands column-level lineage, dbt test definitions, and Oracle Retail's multi-org structures. When schemas evolve—new product attributes, store rollouts, or assortment changes—Redbird detects drift and suggests mapping updates, keeping your pipelines accurate without manual intervention.
faster to sync Oracle Retail data into dbt pipelines than building custom connectors
Redbird can pull from dbt 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 dbt 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 dbt into Oracle Retail, or from Oracle Retail back into dbt. 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 dbt or Oracle Retail—model runs, test results, inventory updates, or planning cycle changes.
Fires when a specific dbt model or tag finishes running, whether successful or failed.
Triggers when data quality tests on dbt models detect schema violations or business rule failures.
Activates when dbt detects upstream source data is stale or hasn't refreshed as expected.
Execute a specific dbt model, tag group, or full project run on-demand.
Refresh a dbt seed CSV with new reference data from Oracle Retail or external sources.
Compile and publish updated dbt docs reflecting current model lineage and test coverage.
Fires when daily or weekly inventory reconciliation completes across stores and distribution centers.
Activates when Oracle Retail initiates a new assortment planning or buying cycle for a season.
Triggers when PO statuses update—approved, received, or cancelled—in Oracle Retail supplier workflows.
Insert or update Oracle Retail planning tables with forecast quantities calculated in dbt.
Enrich Oracle Retail supplier master records with scorecard metrics from dbt analytics models.
Log exceptions or data quality issues detected in dbt back into Oracle Retail alerting systems.
Sync dbt and Oracle Retail in minutes. Redbird AI handles the mapping, orchestration, and monitoring so your retail analytics pipelines stay current and accurate.