Oracle Fusion 25D · SCM · Forecasting

Oracle Forecasting 25D Release Intelligence

5 feature changes for Oracle Forecasting in 25D (October 2025) — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 2 High/Critical items require prioritised regression validation; 3 Medium items should be sampled.

2 High/Critical
1 Med-High
2 Medium
0 Low
5 pages
6 APIs
25D Forecasting Command Center
LIVE · OCT 2025
Total Features
5
High Severity
2
Affected Pages
5
Affected APIs
6
High/Critical2
Med-High1
Medium2
Low0
RELEASE OVERVIEW

What Changed in Oracle Forecasting 25D

Oracle Fusion 25D (October 2025) delivered 5 feature changes for Oracle Forecasting — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 2 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.

5
Total Changes
2
High / Critical
5
Pages Affected
6
APIs Affected
FEATURE-BY-FEATURE BREAKDOWN

All 5 Forecasting 25D Changes

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

AI-Driven Demand Forecast Accuracy Improvements

High
Type: AI / ML Enhancement

Enhanced machine learning forecasting models improve statistical accuracy using seasonality detection and anomaly correction

Affected pages
Demand Management REST API
Affected APIs
Load Forecast, Run Demand Plan ESS Job
ESS jobs
Forecast Profile Configuration
Configuration
Demand Planning, Forecast Approval
Business processes
Forecast Accuracy Validation, Bias Analysis, Historical Comparison Testing
Data objects
Forecast Data Sets, Demand History Tables (Demand Management Work Area, Forecast Review Dashboard)
RECOMMENDED TEST CASES

Improves forecast accuracy and reduces manual adjustments in demand planning

Forecast Exception Detection with AI Insights

Med-High
Type: AI / Exception Handling Opt-in: Opt-in

System automatically detects abnormal demand spikes/drops and highlights forecast deviations

Affected pages
Planning REST APIs
Affected APIs
Generate Exceptions ESS Job
ESS jobs
Exception Threshold Configuration
Configuration
Exception Management Process
Business processes
Exception Validation Testing, Threshold Configuration Testing
Data objects
Forecast Exceptions, Demand Signals (Forecast Review UI, Exceptions Dashboard)
RECOMMENDED TEST CASES

Helps planners quickly identify forecast risks and demand volatility

Enhanced Predictive Planning Integration

High
Type: Integration

Forecasting tightly integrated with predictive planning models for improved scenario simulation

Affected pages
Planning Data Load APIs
Affected APIs
Run Plan with Scenario ESS Job
ESS jobs
Scenario Configuration Rules
Configuration
Scenario-Based Forecasting
Business processes
Scenario Simulation Testing, Multi-scenario Comparison Testing
Data objects
Planning Scenario Tables, Forecast Snapshots (Scenario Planner UI, What-if Analysis Pages)
RECOMMENDED TEST CASES

Enables better decision-making through predictive simulations

Redwood UI Enhancements for Forecast Review

Medium
Type: UI / UX

Improved Redwood UI experience for forecast review, approvals, and adjustments

Affected pages
Forecast Approval APIs
Affected APIs
Approve Forecast ESS Job
ESS jobs
Approval Workflow Configuration
Configuration
Forecast Approval Process
Business processes
UI Navigation Testing, Approval Workflow Testing
Data objects
Forecast Review Objects (Forecast Review Workbench)
RECOMMENDED TEST CASES

Enhances usability and reduces planner effort

Automated Forecast Refresh Scheduling Improvements

Medium
Type: Automation Opt-in: Opt-in

Forecast refresh jobs now support optimized scheduling and incremental updates instead of full rebuilds

Affected pages
ESS Job Scheduler APIs
Affected APIs
Refresh Demand Plan ESS Job
ESS jobs
Schedule Configuration Objects
Configuration
Forecast Refresh Cycle
Business processes
Job Scheduling Testing, Incremental Refresh Validation
Data objects
Forecast Refresh Tables (Scheduled Processes Page)
RECOMMENDED TEST CASES

Reduces processing time and improves performance for large datasets

AFFECTED COMPONENTS · DEDUPED

Components Touched by Forecasting 25D

Unique pages, APIs, ESS jobs, configurations and business processes across all 5 25D changes.

Affected Pages

5
Demand Management REST API ESS Job Scheduler APIs Forecast Approval APIs Planning Data Load APIs Planning REST APIs

Affected APIs

6
Approve Forecast ESS Job Generate Exceptions ESS Job Load Forecast Refresh Demand Plan ESS Job Run Demand Plan ESS Job Run Plan with Scenario ESS Job

ESS Jobs

5
Approval Workflow Configuration Exception Threshold Configuration Forecast Profile Configuration Scenario Configuration Rules Schedule Configuration Objects

Configuration Objects

6
Demand Planning Exception Management Process Forecast Approval Forecast Approval Process Forecast Refresh Cycle Scenario-Based Forecasting

Business Processes

11
Approval Workflow Testing Bias Analysis Exception Validation Testing Forecast Accuracy Validation Historical Comparison Testing Incremental Refresh Validation Job Scheduling Testing Multi-scenario Comparison Testing Scenario Simulation Testing Threshold Configuration Testing UI Navigation Testing

Data Objects

8
Demand History Tables Demand Signals Forecast Data Sets Forecast Exceptions Forecast Refresh Tables Forecast Review Objects Forecast Snapshots Planning Scenario Tables

Oracle Forecasting 25D FAQ

What changed in Oracle Forecasting 25D?

Oracle Fusion Forecasting 25D delivered 5 feature changes — 2 High/Critical severity, 1 Med-High, 2 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 Forecasting 25D?

2 items in Oracle Fusion Forecasting 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 5 unique pages, 6 APIs, 5 ESS jobs, and 6 configuration objects across the 5 feature changes. See "Affected Components" section above.

Should I still test Forecasting after 25D went live?

Yes. Most customers complete a 25D regression cycle, but Forecasting 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 Forecasting 25D regression?

SyntraFlow Release Intelligence maps each 25D Forecasting 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.

Validate Oracle Forecasting 25D Against Your Tenant

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