Oracle Fusion 25D · SCM · QMS

Oracle QMS 25D Release Intelligence

6 feature changes for Oracle QMS in 25D (October 2025) — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 3 High/Critical items require prioritised regression validation; 3 Medium items should be sampled.

Analyze QMS Impact Compare with 26A release →
3 High/Critical
0 Med-High
3 Medium
0 Low
9 pages
6 APIs
25D QMS Command Center
LIVE · OCT 2025
Total Features
6
High Severity
3
Affected Pages
9
Affected APIs
6
High/Critical3
Med-High0
Medium3
Low0
RELEASE OVERVIEW

What Changed in Oracle QMS 25D

Oracle Fusion 25D (October 2025) delivered 6 feature changes for Oracle QMS — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 3 are marked High or Critical severity and require prioritised regression validation before production cutover. Below: every individual change with affected components, recommended test cases and business impact.

6
Total Changes
3
High / Critical
9
Pages Affected
6
APIs Affected
FEATURE-BY-FEATURE BREAKDOWN

All 6 QMS 25D Changes

Each card shows the change type, severity, affected pages and APIs, recommended test cases and business impact rationale.

Data Presence Indicators for Quality/Change Objects

Medium
Type: Enhancement Opt-in: Optional Opt-In

Introduced visual indicators for affected objects in change and quality workflows to show redlines, attributes, attachments, and structures status

Affected pages
FBDI Import APIs, REST Change APIs
Affected APIs
Upgrade Product Management Data
ESS jobs
Change Orders, Quality Issue Objects
Configuration
Quality issue traceability, change impact validation, redline verification
Business processes
Validate UI indicators on quality issue → change order linkage
Data objects
EGO_CHANGES, EGP_SYSTEM_ITEMS (Change Management UI, Quality Issues UI)
RECOMMENDED TEST CASES

Improves traceability and reduces missed quality impact visibility in closed-loop QMS

AI-Assisted Quality Issue Analysis (Embedded GenAI expansion in SCM QMS)

High
Type: Enhancement Opt-in: Opt-In Required

Expansion of AI-driven analysis for identifying root causes and prioritizing quality incidents across supply chain

Affected pages
Quality REST APIs, AI/ML Service APIs
Affected APIs
Quality Issue Analysis ESS Jobs
ESS jobs
Quality Configuration Rules, Risk Models
Configuration
Root cause analysis validation, AI suggestion accuracy testing
Business processes
Ensures faster defect resolution and predictive quality management
Data objects
QSC_QUALITY_EVENTS (Manage Quality Issues, Root Cause Analysis Pages)

Enhanced Closed-Loop Quality Workflow Integration

High
Type: Enhancement

Improved integration between quality events, engineering change orders, and supplier corrective actions

Affected pages
Change Order APIs, Supplier Quality APIs
Affected APIs
Quality Workflow ESS Jobs
ESS jobs
Supplier Quality Configurations
Configuration
End-to-end defect lifecycle testing
Business processes
Ensures quality issues automatically propagate across lifecycle systems
Data objects
QSC_ISSUES, ENG_CHANGE_ORDERS (Quality Management Workbench)

Supplier Quality Corrective Action Automation

Medium
Type: Enhancement Opt-in: Optional Opt-In

Automated supplier notification and corrective action initiation from quality incidents

Affected pages
Supplier REST APIs
Affected APIs
Supplier Corrective Action ESS Jobs
ESS jobs
Supplier Qualification Setup
Configuration
Supplier defect workflow testing, audit trail validation
Business processes
Reduces supplier-related defect resolution time and improves compliance
Data objects
PO_SUPPLIERS, QSC_SUPPLIER_ISSUES (Supplier Quality Dashboard)

Quality Risk Scoring Integration with PLM/SCM

High
Type: Enhancement

Expanded risk scoring across BOM, supplier, and manufacturing inputs to prioritize quality investigations

Affected pages
Analytics APIs
Affected APIs
Risk Scoring Batch Jobs
ESS jobs
Risk Configuration Rules
Configuration
Risk scoring validation across BOM levels
Business processes
Helps prioritize high-impact quality risks early in lifecycle
Data objects
QSC_RISK_MODEL, EGO_ITEMS (Quality Analytics Dashboard)

Inspection and Issue Capture UX Improvements (Redwood UI expansion)

Medium
Type: UX Improvement Opt-in: Optional Opt-In

Redwood-based UI enhancements for inspection data capture and defect reporting

Affected pages
Inspection REST APIs
Affected APIs
Inspection Import Jobs
ESS jobs
Inspection Plan Configuration
Configuration
Inspection execution usability testing
Business processes
Improves usability and reduces inspection errors in manufacturing
Data objects
QSC_INSPECTIONS (Inspection Pages (Redwood UI))
AFFECTED COMPONENTS · DEDUPED

Components Touched by QMS 25D

Unique pages, APIs, ESS jobs, configurations and business processes across all 6 25D changes.

Affected Pages

9
AI/ML Service APIs Analytics APIs Change Order APIs FBDI Import APIs Inspection REST APIs Quality REST APIs REST Change APIs Supplier Quality APIs Supplier REST APIs

Affected APIs

6
Inspection Import Jobs Quality Issue Analysis ESS Jobs Quality Workflow ESS Jobs Risk Scoring Batch Jobs Supplier Corrective Action ESS Jobs Upgrade Product Management Data

ESS Jobs

8
Change Orders Inspection Plan Configuration Quality Configuration Rules Quality Issue Objects Risk Configuration Rules Risk Models Supplier Qualification Setup Supplier Quality Configurations

Configuration Objects

10
AI suggestion accuracy testing End-to-end defect lifecycle testing Inspection execution usability testing Quality issue traceability Risk scoring validation across BOM levels Root cause analysis validation Supplier defect workflow testing audit trail validation change impact validation redline verification

Business Processes

6
Ensures faster defect resolution and predictive quality management Ensures quality issues automatically propagate across lifecycle systems Helps prioritize high-impact quality risks early in lifecycle Improves usability and reduces inspection errors in manufacturing Reduces supplier-related defect resolution time and improves compliance Validate UI indicators on quality issue → change order linkage

Data Objects

10
EGO_CHANGES EGO_ITEMS EGP_SYSTEM_ITEMS ENG_CHANGE_ORDERS PO_SUPPLIERS QSC_INSPECTIONS QSC_ISSUES QSC_QUALITY_EVENTS QSC_RISK_MODEL QSC_SUPPLIER_ISSUES
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Oracle QMS 25D FAQ

What changed in Oracle QMS 25D?

Oracle Fusion QMS 25D delivered 6 feature changes — 3 High/Critical severity, 0 Med-High, 3 Medium, 0 Low. Changes spanned UI updates, AI/automation enhancements, integration improvements and compliance updates. See the full breakdown above.

How many High-severity items are in QMS 25D?

3 items in Oracle Fusion QMS 25D are classified as High or Critical severity. These require dedicated regression testing before production rollout.

What pages and APIs are affected?

Affected components include 9 unique pages, 6 APIs, 8 ESS jobs, and 10 configuration objects across the 6 feature changes. See "Affected Components" section above.

Should I still test QMS after 25D went live?

Yes. Most customers complete a 25D regression cycle, but QMS forms part of the regression baseline for 26A/26B impact analysis. Customers who deferred 25D patches should also still run targeted regression before 26A go-live.

How does SyntraFlow automate QMS 25D regression?

SyntraFlow Release Intelligence maps each 25D QMS feature against your live tenant configuration, identifies the ones that actually apply, and auto-composes a regression test pack covering only the relevant pages, APIs and business processes.

Quality Management Across Oracle Releases

Module Change History

Track how Oracle Quality Management evolved across the last 5 quarterly releases — same module, different release scope.

Jul 2025
25C
Quality Management
Explore →
Oct 2025 · current
25D
Quality Management
You are here
Feb 2026
26A
Quality Management
Explore →
May 2026
26B
Not impacted
Jul 2026
26C
Quality Management
Explore →
How SyntraFlow Tests Quality Management Natively

Built-in for Oracle, not bolted on

SyntraFlow runs Quality Management testing through purpose-built native modules — DataVault auto-generates test data, AI heals Redwood selectors, Process Mining maps real flows, Release Intelligence narrows scope per Oracle release.

BUILT FOR THIS MODULE

Manufacturing Testing

Quality plans, inspection results, non-conformance and disposition workflows.
NATIVE PLATFORM

Oracle Fusion Testing Tool

AI test automation built for every Oracle Fusion module — Redwood UI, AI agents, quarterly patches.
NATIVE PLATFORM

SyntraFlow DataVault

Auto-generates valid Oracle test data — supplier hierarchies, employee assignments, GL combinations.
NATIVE PLATFORM

Config Discovery

Scans your live tenant and maps every configuration, role, security policy and customisation.
NATIVE PLATFORM

AI-Powered Oracle Testing

Self-healing Redwood selectors, AI agent validation, generative test data.
NATIVE PLATFORM

Release Intelligence Platform

Tenant-specific impact reports for every Oracle quarterly release, CPU and CSPU.
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Validate Oracle QMS 25D Against Your Tenant

SyntraFlow Release Intelligence maps every 25D advisory against your live QMS configuration and auto-composes a regression test pack with SOX / GDPR audit evidence. Used by US, UK and EU enterprise Oracle teams.

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Release Intelligence Separately-licensed SyntraFlow module

How SyntraFlow Release Intelligence Works

Release Intelligence is a SyntraFlow module that is licensed and priced separately from the core SyntraFlow test automation platform. It pinpoints exactly what each Oracle Fusion quarterly release or critical patch will affect in your tenant — and produces the test scenarios needed to validate it. The workflow runs in five connected steps:

  1. Connects to your Oracle Fusion environment. A secure read-only connection to your live Oracle Fusion tenant ingests setup data, security model, and live transactions — no manual exports, no spreadsheets.
  2. Scans your complete configuration with Config Intelligence. Config Intelligence snapshots every setup object (FSM tasks, profile options, BPM rules, descriptive flexfields, security policies) and compares it against the incoming release.
  3. Reads master & transaction data via DataVault. DataVault profiles your real master data and live transactions so impact analysis is grounded in what your business actually runs — not generic Oracle samples.
  4. Produces a detail-level Impact Map. Cross-references the release notes against your configuration and data to highlight which features, flows, integrations, and reports are at risk — down to the line-level setting or seeded role that changed. See Release Impact Analysis.
  5. Generates test scenarios & remediation report. Outputs ready-to-execute test cases targeting each impacted area, plus a remediation report with the exact steps to update your setup or data so the patch goes live with minimum disruption. Run them with Patch Testing Automation.

Licensing note: Release Intelligence is a standalone SyntraFlow module available as its own subscription, or as an add-on to the SyntraFlow test automation platform. Pricing is separate from the core platform — contact us for module pricing and bundling options.

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