Redbird AI automatically syncs SPINS retail scan data into BigQuery and enriches CPG analytics with warehouse context. Stop exporting CSVs, writing extraction scripts, or manually reconciling market data across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull updated SPINS sales and distribution data into BigQuery tables whenever new market reports are available. Maintain historical snapshots and dimension tables without manual data pipeline maintenance. Keep CPG analytics current with zero-lag retail insights.
Combine SPINS retail scan data with internal sales records, marketing spend, and promotional calendars stored in BigQuery. Build unified CPG performance models that connect retail velocity to marketing investment. Surface relationships between brand activity and market share movement.
Query enriched SPINS data in BigQuery and automatically generate formatted market performance reports. Combine category trends, competitive benchmarks, and internal targets in one analysis. Distribute insights to brand teams without manual SQL or data wrangling.
Monitor SPINS data streaming into BigQuery for meaningful shifts in ACV, TDP, or sales velocity by retailer. Trigger notifications when products fall below distribution thresholds or competitive activity changes category dynamics. Enable rapid response to market conditions.
Maintain complete audit trails of SPINS market data refreshes in BigQuery with automated versioning. Track changes to sales figures, distribution metrics, and category definitions over time. Support compliance and historical trend analysis without manual record-keeping.
Build live dashboards comparing SPINS launch performance data against internal projections in BigQuery. Update executive views automatically as new retail scan data arrives. Connect innovation pipeline metrics to actual market results without BI team bottlenecks.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 both SPINS retail scan data structures and BigQuery table schemas, so you can connect CPG market intelligence to your analytical warehouse without custom ETL.
Redbird automatically maps SPINS market hierarchies—brands, categories, channels, retailers—to BigQuery dimension tables and fact schemas. The platform understands retail metrics like ACV, TDP, velocity, and units per store, ensuring proper aggregation and grain when syncing to warehouse models. Redbird handles SPINS data refresh cadences and incremental updates intelligently, maintaining SCD Type 2 histories in BigQuery without manual pipeline logic. The AI recognizes when to join SPINS UPCs with internal product masters and can enrich scan data with first-party attributes automatically.
faster than building custom SPINS extraction and BigQuery load pipelines
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into SPINS, or from SPINS back into BigQuery. 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 BigQuery query result or SPINS data update, then take action across your entire CPG analytics stack.
Trigger workflows when scheduled or ad-hoc BigQuery queries return matching rows or threshold values.
Detect when BigQuery tables receive new data loads, schema changes, or row count thresholds.
Start automations when BigQuery scheduled queries finish running, whether successful or failed.
Write new records to BigQuery tables with proper schema mapping and data type handling.
Execute BigQuery SQL with dynamic parameters from upstream workflow data and capture results.
Provision new BigQuery datasets with access controls or modify existing dataset configurations programmatically.
Trigger when SPINS publishes updated retail scan data for subscribed categories or channels.
Start workflows when SPINS completes standard weekly or custom reporting period data updates.
Detect when new SPINS market reports or custom analytics outputs become available for download.
Extract SPINS sales, distribution, and velocity data for specified brands, categories, and time periods.
Fetch SPINS category-level market insights including growth rates, share shifts, and competitive dynamics.
Access pre-configured SPINS reports with specific retailer, geography, or product filters applied.
Join CPG brands using Redbird AI to sync SPINS retail intelligence with BigQuery and power market analytics without manual data pipelines.