Redbird AI automates the flow of merchandising, inventory, and operational data from Oracle Retail into Redshift. Stop writing custom ETL scripts, manual data exports, or waiting on engineering to update warehouse schemas. Keep your analytics current without the data engineering overhead.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract item-level sales, on-hand inventory, and stock adjustments from Oracle Retail at close of business. Redbird transforms the data into analytics-ready tables in Redshift, feeding dashboards that track performance across stores, regions, and product hierarchies without manual exports or staging tables.
Push PO headers, line items, and supplier master data from Oracle Retail into Redshift on a schedule or when orders are created. Enables procurement teams to analyze lead times, vendor performance, and order fill rates in their data warehouse without querying production retail systems directly.
Move aged transaction records, price changes, and audit trails from Oracle Retail to cost-efficient Redshift storage. Redbird handles incremental archiving based on transaction dates, keeping your operational database lean while preserving years of history for compliance and trend analysis.
After running advanced forecasting models in Redshift or downstream tools, automatically push updated demand signals and recommended order quantities back into Oracle Retail. Closes the loop between analytics and operational planning without CSV uploads or manual data reconciliation.
Combine item master data from Oracle Retail with third-party datasets, customer behavior, and market trends stored in Redshift. Redbird merges and enriches product records, creating unified views that support assortment planning, pricing strategies, and personalized merchandising.
Monitor Redshift queries that flag unusual inventory movements, shrinkage patterns, or stock-outs across locations. When anomalies are detected, Redbird can trigger notifications or write adjustments back to Oracle Retail, enabling proactive issue resolution before stockouts impact sales.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Oracle Retail and Redshift 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 Oracle Retail's complex schemas—merchandise hierarchies, location structures, transaction types—and how they map to Redshift's columnar storage and analytics patterns.
Redbird natively interprets Oracle Retail's item masters, SKU hierarchies, store and warehouse location trees, and nested transaction structures. It automatically maps these to optimized Redshift fact and dimension tables with appropriate distribution keys and sort strategies. When Oracle Retail schemas change—new item attributes, reorganized departments, added locations—Redbird detects the updates and adjusts your warehouse pipelines without breaking downstream BI dashboards or requiring manual schema migrations.
faster than building custom ETL jobs for Oracle Retail to Redshift pipelines
Redbird can pull from Oracle Retail and Redshift 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 Oracle Retail or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Oracle Retail into Redshift, or from Redshift back into Oracle Retail. 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 Oracle Retail or Redshift—new transactions, inventory changes, query completions, or scheduled intervals.
Fires when end-of-day sales data is finalized in Oracle Retail, ready for extraction.
Triggers when stock counts are adjusted at stores or distribution centers.
Activates when new supplier orders are placed or existing POs are modified.
Retrieve SKU details, hierarchies, and attributes for specific items or departments.
Pull current stock levels across stores and warehouses for specific date ranges.
Write analytics-generated forecasts back into Oracle Retail planning tables.
Fires when a Redshift analytics query finishes, making results available for downstream actions.
Triggers when external data lands in Redshift, ready to be merged with retail data.
Activates when analytic queries flag unusual patterns or threshold breaches in stock data.
Insert or upsert retail data into Redshift tables with automatic schema handling.
Execute SQL queries on retail data and route results to reporting tools or back to Oracle.
Move aged transaction data to S3-backed external tables for cost-efficient retention.
Sync Oracle Retail and Redshift in minutes, not sprints. Redbird handles the data engineering so your team can focus on insights, not infrastructure.