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
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.

Your Oracle today
Problems hide in Oracle until someone has time to look.
  • ×Anomalies found manually — if at all
  • ×Dashboards show what happened, not why
  • ×No one watching between scheduled reviews
With Ward + Oracle
Ward reads Oracle continuously. Findings arrive with root causes.
  • Anomalies detected and explained automatically
  • Root cause analysis — not just an alert
  • Morning brief before your team logs in
Ward
Insight
Dispatch
Feedback
Evaluate
Learn
01

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action—not just a chart to interpret.

Real-time detection Root cause + recommendation
02

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel—mobile push, text, or email. Not every insight needs a ticket. But when one does, it has an owner.

Tickets created automatically Dispatched to the right person
03

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal—Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached
04

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored
05

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time
$1.8T
Projected global AI market by 2030
0
×
Customer acquisition lift for data‑driven orgs
0
+
Foundation models shipped since 2022
0
Guarantees any single model stays on top

Your Oracle data holds answers nobody has time to find.

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

Get a demo

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