Sync digital behavior data from Heap directly into Oracle Retail merchandising and planning workflows. Stop exporting CSVs, manually mapping product interactions to SKUs, and chasing down conversion metrics for assortment decisions.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When customers repeatedly view or abandon specific product categories in Heap, automatically flag those SKUs and attributes in Oracle Retail's assortment planning module. Merchandisers see real digital demand signals alongside traditional sales data without switching systems.
When Oracle Retail flags items approaching stockout thresholds, automatically query Heap for recent interaction patterns on those SKUs. Surface whether low inventory correlates with high browse-to-cart conversion or low engagement before replenishment decisions.
Append conversion rates, cart abandonment points, and product detail page engagement metrics from Heap to specific SKUs in Oracle Retail's demand planning tables. Forecasters see which products have high digital interest but poor conversion, informing pricing and promotion strategy.
Monitor newly launched SKUs in Oracle Retail and cross-reference with Heap behavioral data. Automatically notify teams when products show unexpectedly high bounce rates, low add-to-cart rates, or friction in the purchase flow during the critical launch window.
When Oracle Retail schedules promotions or price changes, automatically create corresponding date-based segments in Heap. Analyze how promotional periods affect user journeys, feature usage, and conversion paths without manual segmentation work.
Automatically join Oracle Retail's POS and e-commerce sales data with Heap's product interaction, session, and funnel metrics. Deliver consolidated reports showing which products have high digital engagement but underperform in sales, or vice versa, across all channels.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Heap 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 understands Heap's event schemas and behavioral data structures alongside Oracle Retail's merchandising hierarchies, SKU attributes, and planning tables—no custom field mapping required.
Redbird automatically maps Heap's interaction events, user properties, and session data to Oracle Retail's item master, location hierarchies, and planning dimensions. It understands how to join product SKUs across systems, translate behavioral segments into merchandising attributes, and align Heap's retroactive analysis windows with Oracle Retail's planning cycles. Whether you're enriching assortment plans with funnel metrics or triggering behavioral analysis from inventory events, Redbird handles the schema translation.
faster than exporting Heap data and manually matching interaction metrics to Oracle Retail SKUs
Redbird can pull from Heap 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 Heap 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 Heap into Oracle Retail, or from Oracle Retail back into Heap. 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 user interaction in Heap or any merchandising event in Oracle Retail—Redbird handles the rest.
When a behavioral segment in Heap crosses a defined size or engagement threshold.
When Heap detects an unusual increase in drop-off at a specific funnel step for product categories.
When click-through rates, time-on-page, or add-to-cart rates deviate from baseline for tracked items.
Retrieve interaction metrics, session counts, and funnel performance for a specific set of product IDs.
Build a Heap user segment based on product categories, price points, or attributes from Oracle Retail.
Pull aggregated Heap interaction data for specific date ranges aligned with Oracle Retail planning cycles.
When Oracle Retail marks an item or category as approaching low-stock or stockout status.
When Oracle Retail creates a new product record or adds items to the active merchandise plan.
When Oracle Retail's merchandising system schedules a promotional event or updates pricing for SKUs.
Write Heap-derived metrics like conversion rate or interaction count into Oracle Retail custom attributes.
Mark specific items in Oracle Retail planning workflows based on behavioral signals from Heap.
Push Oracle Retail's category structure and item attributes into Heap for event tagging and analysis.
Stop manually bridging the gap between digital behavior and retail operations. Connect Heap and Oracle Retail with Redbird and let AI handle the data work between customer interactions and merchandising decisions.