Automate the flow of retail data between your cloud storage and operational systems. Stop manually exporting sales files, reformatting inventory reports, and stitching together data for analytics. Redbird syncs S3 data lakes with Oracle Retail in real-time, no custom ETL code required.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new sales data lands in S3 from POS systems or e-commerce platforms, automatically parse, validate, and load it into Oracle Retail for merchandising and planning. Redbird handles file format conversions, schema mapping, and error handling so your retail operations stay current.
Schedule automatic exports of inventory positions, SKU data, and warehouse stock levels from Oracle Retail to S3 in parquet or CSV format. Build a centralized data lake for cross-system analytics, machine learning, or reporting dashboards without manual extracts.
Load supplier catalogs, pricing updates, and PO confirmations from partner SFTP drops or EDI pipelines stored in S3 directly into Oracle Retail. Redbird validates schemas, deduplicates records, and flags discrepancies before committing changes to your retail system.
Pull assortment data, allocation plans, and demand forecasts from Oracle Retail and generate formatted reports stored in S3 buckets. Automatically organize by season, category, or region for downstream consumption by finance, planning, and executive teams.
When raw transaction files hit S3, automatically enrich them with product hierarchies, costs, margins, and promotional data from Oracle Retail. Output enriched datasets back to S3 for analytics tools to consume, eliminating manual lookup and join operations.
Monitor incoming inventory feeds in S3 and compare counts, SKUs, and locations against Oracle Retail system of record. Redbird flags mismatches, missing files, or anomalies in real-time so teams can resolve data quality issues before they impact operations.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 understands both S3 object structures and Oracle Retail's complex merchandising, inventory, and supply chain schemas—so you can connect them without middleware or custom code.
Redbird's AI maps S3 file formats—JSON, CSV, parquet, Avro—to Oracle Retail's tables, hierarchies, and business entities automatically. It understands SKU structures, location codes, transaction types, and planning cycles across both systems. When schemas change or new data sources appear in S3, Redbird adapts without breaking pipelines. You get intelligent validation, transformation, and error handling specific to retail operations and cloud storage patterns.
faster than building custom data pipelines between S3 and Oracle Retail
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into Oracle Retail, or from Oracle Retail back into Amazon S3. 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 workflows from any event in Amazon S3 or Oracle Retail—new files, updated records, scheduled exports, or threshold alerts.
Trigger when a new object is uploaded to a specified S3 bucket or prefix path.
Detect when an existing S3 object is updated or overwritten with new data.
Run workflows on a schedule to check for new or changed files in S3 locations.
Write processed data, reports, or exports to a target S3 bucket and prefix.
Retrieve and parse CSV, JSON, parquet, or other file formats from S3 for downstream use.
Move processed files to archive buckets or delete objects after successful ingestion.
Trigger when stock levels change for SKUs across stores or distribution centers.
Detect when a PO is generated or approved in Oracle Retail supply chain modules.
Trigger when new sales or return transactions are recorded in Oracle Retail systems.
Insert or update sales, receipts, or transfer records in Oracle Retail tables.
Sync inventory counts, adjustments, or allocations into Oracle Retail from external sources.
Query and export assortment plans, forecasts, or SKU hierarchies from Oracle Retail for analysis.
Stop building and maintaining custom pipelines between your cloud storage and retail systems. Connect Amazon S3 and Oracle Retail with Redbird in minutes and let AI handle the data work.