Integration · ERP

Ward +
Oracle

Your Oracle data holds answers your team doesn’t have time to extract. Ward integrates with Oracle Retail Merchandising (RMFCS), Oracle Retail Demand Forecasting, and Oracle Retail Analytics. Full stack visibility.

What’s hiding in your
Oracle data.

The problems are already in Oracle. Ward finds them and explains why.

Fill Rate
Allocation gaps caught
Replenishment outputs checked against actual shelf conditions per store.
Demand Forecast Accuracy
Accuracy gap closed
External signals enrich Oracle forecasts where they drift.
Markdown Waste
Slow movers caught early
Triggers shallower markdowns before inventory ages out.
Inventory Carrying Cost
Overstock freed up
Demand-aligned inventory releases locked working capital.

Oracle data, married to
everything else.

Oracle is one signal. Ward combines it with weather, events, competitor pricing, and more.

app.getward.ai Live demo
Acme Retail @Merchandising: VP Analyst claude-sonnet default
A

Chat

Ask anything. Ward routes to the right agent and returns cited answers.

Why did Store 37 miss target last week?
You · 9:42 AM
Schema Scout · routed to Merchandising Agent

I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.

SignalFinding
labor_efficiencyRev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak
inventory.freshFresh fill 83%, backroom replenishment lag at 2–4p
promo.liftBOGO crackers cannibalized Brand Y by 28%, net category +6%

Recommend: re-baseline Store 37 schedule against true peak, raise replen window to 1p, and review the BOGO before next cycle.

8 parallel queries 3 sources cited confidence 0.92
Show me how to fix the staffing mismatch.
You · 9:43 AM
Labor Agent · drafting schedule diff
Querying labor_scheduling
Ask anything, Ward routes to the right agent. Cmd+K

Dashboards

Pinned views built from saved data-lake queries.

Revenue vs. forecast +4.2% WoW
Gross margin % −3.2pp
Fill rate, fresh 83%
Shrink, West region +0.8pp

Sources

Connect external systems to the data lake.

NameTypeLast sync
sap_pos_transactionsimport2m ago
sap_inventory_shrinkageimport2m ago
sap_labor_schedulingimport14m ago
retail_inventory_weeklyimport1h ago
retail_google_ads_dailyimport1h ago
retail_meta_ads_dailyimport1h ago
retail_ga4_website_dailyimport1h ago

Policies

Browse and manage Cedar access policies for your tenant.

TLS 1.3 AES-256 Read-only SOC 2 II
Policy IDEffectResources
merch-read-defaultpermitModel::*
finance-read-shrinkagepermitModel::"inventory_shrinkage"
vendor-blockedforbidModel::"labor_*"
region-west-onlypermitTenant::"acme"
Ward + Oracle, live analysis against your data.
ERP · Primary
Oracle Retail
Sales audit · Inventory positions · Allocation
SAP
ERP
NetSuite
ERP
Ward
Data Lake
Enrichment Data
Sales audit data
Weather & events
Competitor pricing
Demographic data
Supplier scorecards
Oracle (primary)
ERP peers
Enrichment data
Real-time data flow

Data Ward reads
from Oracle.

Sales audit Inventory positions Allocation Replenishment Demand forecasts Price management

Ward reads from Oracle Retail via REST APIs or direct database views. Compatible with Oracle Cloud and on-premise deployments.

01 / Connect
Read Oracle

Read-only access to Oracle. No changes to your configuration.

02 / Combine
Join the lake

Oracle data married to weather, events, and competitor pricing.

03 / Detect
Find the why

Anomalies surfaced continuously, each with a root cause attached.

04 / Deliver
Morning brief

Findings land in the morning brief before your team logs in.

Your Oracle data holds answers your team doesn’t have time to extract. Ward reads it continuously and explains why.

Your Oracle today
Problems hide in Oracle until someone has time to look.
  • ×Anomalies found manually, if at all
  • ×Dashboards stop at what happened
  • ×No one watching between scheduled reviews
With Ward + Oracle
Ward reads Oracle continuously. Findings arrive with root causes.
  • Anomalies detected and explained automatically
  • Every alert carries its root cause
  • Morning brief before your team logs in

Playbooks that run on Oracle.

Ward reads and writes Oracle Retail as the system of record, no ETL.

Your Oracle data holds answers nobody has time to find.

Ward reads it continuously and delivers what it finds. With root causes.

Read-only to start · your LLM keys · SOC 2 Type II underway · or book a call directly

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

Step 1 of 3
What are your goals?
Step 2 of 3
About your operation
Step 3 of 3
Your contact info