Connect Oracle Financials and
SPINS with AI

Automate the flow between your enterprise financial system and retail sales data. Stop manually reconciling SPINS scan data against Oracle revenue, exporting spreadsheets for variance analysis, or copying market performance into financial reports.

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.

Reconcile SPINS retail sales data against Oracle revenue by product and channel

Automatically match SPINS scan data to Oracle revenue entries by SKU, brand, and retail account. Flag discrepancies between reported sales and booked revenue for finance review. Create variance reports that flow directly into monthly close documentation.

Enrich Oracle product master data with SPINS category and market positioning intelligence

Pull SPINS category definitions, market share rankings, and competitive positioning data into Oracle item records. Maintain synchronized product hierarchies across financial and market intelligence systems. Enable P&L reporting segmented by SPINS-defined natural/specialty categories.

Generate monthly revenue variance reports comparing Oracle actuals to SPINS retail scan trends

Combine Oracle GL revenue data with SPINS weekly retail velocity to identify sell-through gaps. Automatically calculate inventory in channel and days of supply by account. Produce executive summaries explaining revenue performance in context of retail point-of-sale data.

Alert finance teams when SPINS market share shifts impact Oracle revenue forecasts

Monitor SPINS category trends and competitive dynamics that signal revenue risk or opportunity. Trigger notifications when brand velocity declines in key accounts or regions. Surface insights that require forecast adjustments before quarterly close.

Post SPINS retailer-specific performance data as journal entries in Oracle sub-ledgers

Create Oracle journal entries that allocate trade spend and marketing costs based on SPINS retail account performance. Automate deduction accruals tied to actual scan data rather than estimates. Maintain audit trail linking GL postings back to source SPINS reports.

Sync Oracle customer hierarchy and payment terms into SPINS account analysis workflows

Push Oracle customer master data, credit terms, and AR aging into SPINS dashboards for commercial teams. Link payment performance to retail sales velocity for account health scoring. Enable revenue operations to analyze accounts through both financial and market lenses.

Live in four steps

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

01

Connect your accounts

Authorize Oracle Financials and SPINS 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 understands Oracle Financials' complex GL structures and SPINS' retail scan data schemas — connecting enterprise financial operations with granular CPG market intelligence.

AI that understands both financial hierarchies and retail scan data

Redbird maps SPINS product hierarchies, UPC identifiers, and retailer taxonomies to Oracle chart of accounts, cost centers, and revenue recognition rules. The platform interprets SPINS weekly scan data formats and aligns them with Oracle period close calendars. It handles multi-entity Oracle consolidations while preserving SPINS channel and geography breakdowns, ensuring finance teams can analyze P&L through the lens of actual retail performance.

GL account mapping
Product hierarchy alignment
Revenue reconciliation
Period normalization
10×

faster than exporting SPINS data and manually matching it to Oracle revenue in spreadsheets

No more copying scan data into Excel, VLOOKUPs across systems, or manual variance explanations

Auto-generated reports

Redbird can pull from Oracle Financials and SPINS 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 Oracle Financials or SPINS.

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 Oracle Financials into SPINS, or from SPINS back into Oracle Financials. 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 Oracle Financials or SPINS — from period close to new product launch data.

Oracle Financials
Triggers & Actions
Trigger

Financial period closed

Trigger workflows when Oracle closes a monthly, quarterly, or annual accounting period.

Trigger

Revenue journal posted

Detect when new revenue transactions are posted to Oracle GL accounts or sub-ledgers.

Trigger

Customer record updated

Monitor changes to Oracle customer master data, payment terms, or account hierarchies.

Action

Create journal entry

Post new journal entries to Oracle GL with line-level detail and supporting documentation.

Action

Update product master record

Modify Oracle inventory item attributes, categories, or financial classifications.

Action

Generate financial report

Run Oracle financial reports, P&L statements, or custom queries and extract results.

SPINS
Triggers & Actions
Trigger

New weekly scan data available

Trigger when SPINS publishes updated retail point-of-sale data for tracked products and channels.

Trigger

Market share change detected

Detect significant shifts in category market share, velocity trends, or competitive positioning.

Trigger

Product performance threshold crossed

Monitor when SKU sales velocity, distribution growth, or retail account performance hits defined levels.

Action

Query sales performance data

Extract SPINS scan data by product, retailer, geography, or time period for analysis.

Action

Retrieve category trend report

Pull SPINS category growth rates, market share data, and competitive benchmarks.

Action

Fetch retailer account metrics

Get SPINS data for specific retail accounts including velocity, distribution points, and shelf position.

Oracle Financials
+
SPINS

Ready to connect your stack?

See how Redbird connects Oracle Financials with SPINS to automate revenue reconciliation, market analysis, and financial reporting for CPG finance teams.

Get started → Book a demo