Redbird AI automates the data pipeline between your GCP storage layer and Oracle Retail operations. Stop manually exporting inventory snapshots, staging CSV files for analysis, or writing custom scripts to sync merchandise data between systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract inventory positions across all stores and distribution centers from Oracle Retail each night. Stage structured files in Cloud Storage for downstream analytics, machine learning models, or BigQuery ingestion without manual exports or file transfers.
Push demand forecast results generated by ML models or analytics pipelines stored in Cloud Storage back into Oracle Retail's planning modules. Update replenishment parameters, allocation rules, and purchase order recommendations based on advanced analytics without manual data entry.
Extract historical sales, returns, and merchandise planning data from Oracle Retail on defined schedules. Store long-term archives in Cloud Storage with lifecycle policies for cost-effective compliance and audit trail maintenance across retail operations.
Import enriched supplier scorecards, lead time analyses, and quality metrics stored in Cloud Storage into Oracle Retail's supplier relationship management. Update supplier ratings and ranking automatically based on external data science workflows without manual updates.
Extract merchandise hierarchy, assortment plans, and category performance data from Oracle Retail. Deliver structured reports to Cloud Storage for distribution to analytics teams, executive dashboards, or integration with Google Sheets and Looker Studio without manual reporting cycles.
Load pricing recommendations and markdown strategies generated by external analytics pipelines directly into Oracle Retail from staged Cloud Storage files. Update price points, promotional calendars, and clearance plans based on advanced modeling without manual price file management.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 GCP storage patterns and Oracle Retail's complex merchandise hierarchies, inventory structures, and operational data models.
Redbird automatically maps Oracle Retail's merchandise hierarchies, item masters, location structures, and inventory tables to structured files in Cloud Storage. The AI recognizes naming conventions for inventory snapshots, understands Oracle Retail's dimensional models for planning and allocation, and handles file format transformations between Oracle's export formats and analytics-ready structures. No need to manually configure column mappings, parse nested retail data hierarchies, or write custom transformation logic for every data pipeline.
faster than building custom Oracle Retail export scripts and GCS upload pipelines
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into Oracle Retail, or from Oracle Retail back into Google Cloud Storage. 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 Cloud Storage or Oracle Retail—new files uploaded, inventory updates, or planning cycle completions.
Trigger when forecast files, pricing recommendations, or supplier data lands in specified Cloud Storage buckets.
Detect when files matching naming conventions appear in Cloud Storage paths for automated retail data ingestion.
Run on defined schedules to check for new analytical outputs or ML model results ready for Oracle Retail import.
Write extracted Oracle Retail data to Cloud Storage in Parquet, CSV, or JSON formats for downstream processing.
Move historical retail data exports to nearline or coldline storage classes based on retention requirements.
Generate point-in-time snapshots of Oracle Retail extracts in Cloud Storage for version control and auditing.
Trigger when stock levels change across stores or distribution centers for real-time data lake updates.
Detect when merchandise planning, allocation, or replenishment cycles finish to extract final results.
Fire when PO approvals, receipts, or modifications occur to sync procurement data with external analytics.
Load demand forecasts from Cloud Storage into Oracle Retail planning modules and update allocation rules.
Modify product attributes, classifications, or enrichment data in Oracle Retail from staged Cloud Storage files.
Import optimized price points and markdown strategies from Cloud Storage into Oracle Retail merchandising.
Sync Google Cloud Storage with Oracle Retail in minutes. Automate retail data pipelines, inventory exports, and merchandise reporting without writing code or maintaining integration infrastructure.