Redbird AI syncs retail operational data from Oracle Retail into Databricks for ML and analytics, then pushes forecasts, pricing models, and inventory insights back into merchandising and planning workflows. Stop manually exporting data, running batch jobs, and reconciling predictions across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull inventory positions, SKU movements, and stock levels from Oracle Retail into Databricks feature stores. Keep training data fresh for demand forecasting and replenishment models. Trigger retraining pipelines when new data arrives.
Write ML-generated demand forecasts from Databricks directly into Oracle Retail's merchandise planning and replenishment systems. Replace manual forecast uploads with automated pipeline writes. Ensure planners work from the latest model outputs.
Join point-of-sale and inventory transactions from Oracle Retail with customer segments, location intelligence, and external market signals stored in Databricks. Build unified retail analytics datasets that combine operational and analytical context.
Deploy price elasticity and markdown optimization models from Databricks into Oracle Retail merchandising workflows. Automatically update recommended pricing and promotion strategies based on real-time inventory and sales velocity signals. Eliminate spreadsheet-based pricing decisions.
Run anomaly detection and forecast accuracy models in Databricks on Oracle Retail inventory and sales data. Trigger alerts when models detect stockouts, overstock risk, or demand pattern shifts. Route alerts to the right planning teams with context.
Continuously sync completed sales, fulfillment, and planning transactions from Oracle Retail into Databricks for compliance and historical analysis. Maintain a unified retail data archive across merchandising, supply chain, and store operations. Enable multi-year trend analysis without taxing Oracle Retail production systems.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 Databricks lakehouse schemas and Oracle Retail's merchandising, inventory, and planning data models — mapping SKUs, locations, hierarchies, and forecast structures between systems.
Redbird automatically recognizes Oracle Retail entities like item masters, inventory positions, purchase orders, and assortment plans, then maps them to Databricks Delta tables, feature stores, and ML pipelines. The platform understands retail hierarchies, location structures, and time-series formats, so you don't manually join product IDs, normalize date ranges, or reconcile store codes. Changes to Oracle Retail schemas or Databricks table structures are detected and adapted without breaking pipelines.
faster than building custom integrations between Databricks and Oracle Retail
Redbird can pull from Databricks 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 Databricks 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 Databricks into Oracle Retail, or from Oracle Retail back into Databricks. 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 Databricks or Oracle Retail — new data, model runs, inventory changes, or planning updates.
Trigger when a Databricks model training job finishes and new predictions are ready for deployment.
Start workflows when fresh data lands in a Databricks Delta table or feature store.
Trigger actions when a Databricks notebook or pipeline runs on schedule.
Push forecast outputs, segmentation results, or model scores into Databricks tables for downstream use.
Automatically deploy updated models to Databricks serving endpoints or feature stores.
Run transformation, analysis, or model inference notebooks in response to Oracle Retail data changes.
Start workflows when stock levels, allocations, or availability change in Oracle Retail systems.
Trigger when assortment plans, buy quantities, or seasonal planning is completed and approved.
Respond to new point-of-sale, return, or fulfillment transactions as they occur.
Write ML-generated forecasts directly into Oracle Retail planning and replenishment modules.
Push optimized pricing, markdown strategies, or promotion plans into Oracle Retail merchandising systems.
Write inventory corrections, reallocation suggestions, or stock transfers back to Oracle Retail.
Sync Databricks and Oracle Retail in minutes. Stop exporting CSVs, building custom Spark jobs, or manually updating forecasts. Let Redbird AI handle the data work so your team can focus on better merchandising and planning decisions.