Sync SPINS retail scan data directly into your Snowflake warehouse and automate CPG performance analysis. Stop manually downloading SPINS exports, transforming CSVs, and rebuilding market share reports every week.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull SPINS retail scan data, point-of-sale metrics, and category performance into Snowflake tables on a scheduled cadence. Keep your analytical warehouse current with natural and specialty channel sales without manual exports or staging.
Match your internal SKU master data in Snowflake with SPINS category benchmarks, competitive positioning, and trend indicators. Create enriched product dimension tables that combine operational data with external market intelligence.
Query Snowflake for internal shipment and forecast data, combine with SPINS sell-through and velocity metrics, and generate unified CPG performance dashboards. Automate the weekly category review deck without toggling between systems.
Compare planned distribution from Snowflake sales plans against actual retail presence in SPINS. Trigger alerts when products are authorized but not scanning, or when velocity falls below thresholds in key accounts.
Send aggregated demand signals, promotional calendars, and innovation pipeline data from Snowflake into SPINS data sharing environments. Enable collaborative planning with retail partners using a single source of truth.
Automatically capture and version SPINS snapshots into Snowflake time-series tables. Build multi-year category trend models and innovation performance databases without worrying about SPINS data retention windows.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Snowflake 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 Snowflake's analytical warehouse structure and SPINS' CPG-specific retail data schemas — no manual mapping or transformation pipelines required.
Redbird automatically interprets SPINS product hierarchies, retailer taxonomies, and time-period structures, then maps them to normalized Snowflake dimension and fact tables. The platform handles SPINS' CPG-specific field names like ACV%, velocity, and TDP, converting them into consistent warehouse schemas. Whether you're syncing channel roll-ups or SKU-level scan data, Redbird preserves grain and generates proper join keys without manual ETL scripting.
faster than building custom SPINS-to-Snowflake ETL pipelines
Redbird can pull from Snowflake 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 Snowflake 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 Snowflake into SPINS, or from SPINS back into Snowflake. 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 from any data event in Snowflake or new dataset arrival in SPINS — Redbird connects the dots across your CPG analytics stack.
Fires when new rows are inserted into a Snowflake table, such as fresh forecast uploads or shipment records.
Triggers when a scheduled analytical query crosses a defined threshold, like inventory falling below safety stock.
Activates when table structure changes, such as new columns added to product dimension or fact tables.
Write new records to Snowflake tables, such as enriched SPINS market data or calculated metrics.
Run Snowflake stored procedures to trigger data transformations, aggregations, or downstream pipeline steps.
Refresh materialized views or update dynamic tables that combine internal and SPINS external data sources.
Fires when SPINS publishes fresh weekly or monthly scan data for subscribed categories and channels.
Triggers when SPINS recalculates category rankings, share shifts, or competitive positioning metrics.
Activates when a custom SPINS data cut or client-specific report finishes processing and becomes available.
Pull specific SPINS data files including POS sales, distribution metrics, and velocity by retailer or geography.
Submit parameters for bespoke SPINS data cuts, such as specific UPC lists, date ranges, or channel filters.
Retrieve formatted SPINS trend reports, category overviews, or innovation tracker datasets for archival or analysis.
Stop manually bridging SPINS retail data and your Snowflake warehouse. Redbird automates the sync, transformation, and analysis so your team can focus on insight instead of data plumbing.