Automate the flow of retail sales data, market insights, and product performance metrics between your merchandising operations and CPG analytics. Stop manually reconciling SPINS scan data with Oracle inventory and sales records — let Redbird sync, enrich, and report across both systems automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull weekly SPINS sales data and match it to Oracle product SKUs and store locations. Enrich Oracle merchandising records with natural channel performance, market share trends, and velocity metrics. Keep your retail planning teams working from a single, complete view of all channel performance.
Build weekly or monthly reports that merge Oracle internal sales, inventory turns, and margins with SPINS market share and competitive benchmarks. Automatically calculate share of shelf, distribution gains, and velocity rankings. Deliver comprehensive category insights without manual data assembly.
Monitor SPINS category velocity and emerging trends against Oracle demand forecasts and replenishment plans. Trigger alerts when natural channel growth accelerates beyond projections or when competitive share shifts signal inventory adjustments. Enable proactive merchandising decisions based on real market signals.
Automatically share Oracle product master data, store rollout schedules, and distribution milestones with SPINS analytics workflows. Ensure new SKU performance tracking begins the moment products hit shelves. Eliminate delays in measuring launch velocity and early distribution success.
Combine Oracle purchase order history, margin data, and inventory metrics with SPINS brand sales trends and category growth rates. Build supplier performance reviews that include market context and competitive positioning. Surface which vendor partnerships drive both operational efficiency and market share gains.
Feed SPINS same-store sales trends, basket penetration, and seasonal patterns directly into Oracle replenishment algorithms and allocation models. Adjust store-level inventory targets based on natural channel velocity shifts. Keep your supply chain responsive to real consumer demand signals without manual intervention.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Oracle Retail and SPINS 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 merchandising hierarchies, inventory structures, and planning calendars alongside SPINS market data schemas, brand taxonomies, and retail channel definitions.
Redbird's AI automatically maps SPINS UPC-level scan data to Oracle item masters and product hierarchies, handling variant SKUs, regional assortments, and private label complexities. It reconciles SPINS retailer definitions with Oracle store locations and formats, matching natural channel accounts to your distribution network. The platform understands merchandising calendars, promotional periods, and seasonal resets in both systems — so your data flows maintain context across planning cycles and reporting periods.
faster than exporting SPINS reports and manually joining to Oracle tables
Redbird can pull from Oracle Retail and SPINS 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 SPINS.
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 SPINS, or from SPINS 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 workflows from any event in Oracle Retail or SPINS — inventory changes, new scan data releases, forecast updates, or market trend shifts.
Triggers when a new SKU or product variant is created in Oracle merchandising system.
Triggers when store or DC stock levels fall below or exceed defined min/max parameters.
Triggers when Oracle planning updates forecasts for categories, products, or store clusters.
Modifies item master fields including descriptions, attributes, or merchandising classifications.
Updates min/max levels, reorder points, or allocation rules for products and locations.
Generates PO in Oracle procurement based on inventory needs or external data triggers.
Triggers when SPINS releases new retail sales data for tracked categories and channels.
Triggers when your brand or competitor share moves beyond defined thresholds in SPINS data.
Triggers when SPINS identifies new SKUs entering distribution in natural or specialty channels.
Retrieves SPINS sales trends, velocity metrics, or distribution data for specific categories or brands.
Extracts market share, pricing, or promotional activity for competitor brands and products.
Generates formatted SPINS datasets filtered by retailer, geography, time period, or product attributes.
Stop spending hours reconciling SPINS market data with Oracle retail operations. Connect Oracle Retail and SPINS with Redbird and automate the analytics workflows that drive smarter merchandising and category decisions.