Connect Nielsen Scarborough and
Oracle Retail with AI

Redbird AI syncs consumer insights from Nielsen Scarborough directly into Oracle Retail to drive smarter merchandising, assortment planning, and inventory decisions. Stop manually exporting audience reports and rebuilding them in spreadsheets—automate the flow from market research to retail operations.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync audience purchasing behavior data to inform merchandise assortment planning

Pull consumer purchase behavior and product affinity data from Nielsen Scarborough and automatically update Oracle Retail's assortment planning modules. Redbird maps demographic segments to product categories, enabling merchandising teams to align inventory with local market preferences without manual data translation.

Enrich demand forecasts with local market media consumption and demographic trends

Combine Nielsen Scarborough's local market audience profiles with Oracle Retail demand forecasting workflows. Redbird layers media habits, lifestyle segments, and purchase propensity data onto SKU-level forecasts, improving accuracy for regional assortment and promotional planning.

Trigger inventory rebalancing workflows when audience composition shifts in key markets

Monitor Nielsen Scarborough for changes in demographic composition or purchasing behavior within specific DMAs. When significant shifts occur, Redbird automatically initiates Oracle Retail inventory rebalancing or replenishment workflows to adjust stock levels by location.

Generate weekly merchandising performance reports enriched with audience insights

Pull sales and inventory data from Oracle Retail and combine it with Nielsen Scarborough audience demographics and media reach data. Redbird produces weekly reports showing which audience segments are driving sales, identifying gaps between target demographics and actual purchasers.

Alert merchandising teams when sales trends diverge from expected audience behavior

Compare actual sales performance in Oracle Retail against Nielsen Scarborough's predicted purchase behavior for target segments. Redbird flags markets or categories where performance deviates significantly, enabling rapid response to unexpected trends or campaign underperformance.

Archive campaign-aligned inventory snapshots with corresponding audience measurement data

When major marketing campaigns launch, automatically capture Oracle Retail inventory positions and sales baselines alongside Nielsen Scarborough audience reach and composition data. Redbird creates paired datasets for post-campaign analysis, linking media exposure to retail outcomes.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Nielsen Scarborough and Oracle Retail with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird AI understands both Nielsen Scarborough's audience measurement schemas and Oracle Retail's merchandising and inventory data models, so your teams can connect consumer insights to operational decisions without data engineering overhead.

AI that understands audience data and retail operations

Redbird's AI natively parses Nielsen Scarborough's DMA-level demographic segments, media quintiles, purchase behavior indices, and product category affinities. It maps these to Oracle Retail's merchandise hierarchies, location taxonomies, SKU attributes, and demand planning tables. The platform automatically resolves geographic market codes, aligns consumer segment definitions with customer clusters, and joins audience metrics to product performance data—eliminating the manual data wrangling that typically blocks insights from reaching merchandising workflows.

DMA and store location mapping
Audience segment to customer cluster alignment
Purchase behavior to SKU category matching
Media reach to promotional calendar sync
10×

faster to connect audience insights to merchandising decisions

No custom ETL scripts, no CSV exports, no manual demographic-to-SKU mapping tables

Auto-generated reports

Redbird can pull from Nielsen Scarborough and Oracle Retail simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Nielsen Scarborough or Oracle Retail.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Nielsen Scarborough into Oracle Retail, or from Oracle Retail back into Nielsen Scarborough. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any event in Nielsen Scarborough or Oracle Retail—from new survey data releases to inventory threshold breaches.

Nielsen Scarborough
Triggers & Actions
Trigger

New market survey data released

Fires when Nielsen Scarborough publishes updated audience measurement or purchase behavior data for a market.

Trigger

Audience segment composition changes beyond threshold

Triggers when demographic or lifestyle segment shifts exceed defined parameters in specified DMAs.

Trigger

Media consumption pattern update available

Activates when new media quintile or cross-platform reach data becomes available for target audiences.

Action

Query audience profile by demographic criteria

Retrieve detailed audience measurement data filtered by age, income, lifestyle, or geographic market.

Action

Extract purchase behavior index for product categories

Pull category-level purchase propensity and brand preference data for specified consumer segments.

Action

Generate custom audience report for market comparison

Create comparative analysis of audience characteristics across multiple DMAs or media markets.

Oracle Retail
Triggers & Actions
Trigger

Inventory falls below reorder point

Fires when SKU inventory at store or distribution center level reaches replenishment threshold.

Trigger

Demand forecast updated for category or location

Triggers when Oracle Retail recalculates demand projections for merchandise categories or store clusters.

Trigger

Merchandise allocation plan published

Activates when new assortment or allocation plans are finalized for upcoming seasons or promotions.

Action

Update merchandise plan with adjusted quantities

Modify SKU-level buy quantities or store allocation plans based on external insights or triggers.

Action

Create demand forecast override for specific markets

Apply manual or automated adjustments to demand forecasts for selected locations or product hierarchies.

Action

Log audience-informed planning decision in system notes

Append consumer insight rationale to merchandise planning records for audit trail and team visibility.

Nielsen Scarborough
+
Oracle Retail

Ready to connect your stack?

See how Redbird AI connects Nielsen Scarborough audience insights directly to Oracle Retail merchandising and inventory workflows—no custom integration development required.

Get started → Book a demo