Stop manually downloading SPINS retail scan data and loading it into Redshift. Redbird AI syncs your CPG sales data, market trends, and category insights directly into your data warehouse—automatically keeping your analytics pipelines current without CSV exports or custom ETL scripts.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically ingest weekly SPINS retail sales data, category performance, and distribution metrics into designated Redshift schemas. Keep your data warehouse current with the latest natural and specialty channel insights without manual file transfers or staging processes.
Match internal sales transactions in Redshift with corresponding SPINS category trends, competitive benchmarks, and market share metrics. Combine first-party data with third-party retail intelligence for comprehensive performance analysis.
Pull consolidated sales, distribution, and market trend data from both systems to build executive dashboards. Automatically compile weekly or monthly performance snapshots that combine internal forecasts with SPINS retail actuals and competitive positioning.
Monitor SPINS category trends, velocity changes, and competitive movements as they load into Redshift. Trigger notifications when key metrics cross thresholds—like market share loss, distribution gaps, or velocity declines in critical accounts.
Systematically store years of SPINS retail scan data in Redshift for long-term trend analysis and year-over-year comparisons. Build a comprehensive historical repository that supports multi-year category growth modeling and seasonal pattern recognition.
Calculate custom product health scores by blending internal shipment data from Redshift with SPINS retail sell-through, distribution points, and velocity metrics. Automatically update scoring models as new retail scan data arrives each week.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Redshift 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 AI understands both Redshift table structures and SPINS retail data formats—automatically mapping product hierarchies, retail accounts, and time periods across systems without custom transformation logic.
Redbird maps SPINS product taxonomies, UPC codes, and retail channel hierarchies to your Redshift dimension tables automatically. The platform recognizes SPINS-specific data structures—weekly scan periods, velocity calculations, ACV distributions, and market basket metrics—and aligns them with your existing warehouse schemas. No need to manually define join keys between SPINS brand hierarchies and your internal product masters.
faster than building custom SPINS-to-Redshift ETL pipelines
Redbird can pull from Redshift 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 Redshift 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 Redshift into SPINS, or from SPINS back into Redshift. 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 new SPINS data deliveries or Redshift query results—Redbird responds to events in either system.
Trigger when a new table or schema appears in your Redshift cluster.
Fire when a scheduled Redshift query returns results meeting specified conditions.
Trigger when table row counts change significantly or loads complete.
Insert or upsert records into specified Redshift tables with deduplication logic.
Run custom SQL statements or stored procedures on incoming data.
Generate optimized materialized views for frequently accessed aggregations.
Trigger when SPINS publishes new weekly or monthly retail sales data for your subscribed categories.
Fire when your brand's market share moves beyond defined thresholds in tracked categories.
Trigger when ACV or TDP metrics change for monitored products or accounts.
Extract sales, velocity, and market trends for specified categories and time periods.
Fetch competitor sales, share, and distribution metrics for comparison analysis.
Pull SPINS data organized by your custom brand or product segmentation logic.
See how Redbird AI syncs SPINS retail intelligence with Redshift in minutes—no custom ETL development or data engineering required.