Oracle Fusion 26A · Demand Management

Oracle Demand Management 26A Release Intelligence

11 feature changes for Oracle Demand Management in 26A — affecting demand planning, forecasting and replenishment. Analyze release impact, regression risks, affected components and recommended validations.

Analyze Demand Management Impact Compare with 26B

6 High

1 Med-High

4 Medium

0 Low

14 pages

10 APIs

26A Demand Management Command Center

LIVE · FEB 2026

Total Features

High Severity

Affected Pages

Affected APIs

High6

Med-High1

Medium4

Low0

RELEASE OVERVIEW

What Changed in Oracle Demand Management 26A

Oracle Fusion 26A (February 2026) delivers 11 feature changes for Oracle Demand Management — covering process logic, accounting rules, integration payloads, security policies and reporting outputs. 6 are marked HIGH severity and require prioritised regression validation before production cutover.

Total Changes

High Severity

Pages Affected

APIs Affected

Oracle Demand Management 26A Feature Changes

Every Demand Management change Oracle shipped in 26A, with severity, affected components, and recommended validations. Combines initial 26A release notes with the latest 26A patch updates.

Demand Forecast

MEDIUM-HIGH

Type: Analytics / Data Customer-action-required

Forecasting Generate Forecast, Validate Accuracy

Pages: ForecastDemand HistoryItem

APIs: Demand Management

ESS Jobs: Forecast APIs

Config: Generate Forecast

Processes: Forecast Profiles

Test Cases: Demand Planning

AI-Assisted Planning Cycle Automation

HIGH

Type: Enhancement Yes

Oracle introduced AI-driven planning cycle assistants to automate demand review and planning recommendations within Demand Management and Supply Chain Planning workflows. (Oracle Blogs) Reduces manual forecasting effort and improves planner productivity

Pages: Demand Management WorkbenchForecast Review UI

APIs: SupplyPlanningForecasts REST API

ESS Jobs: Demand Planning Data Collection

Config: Planning ProfilesForecast Parameters

Processes: Demand ForecastingConsensus Planning

Test Cases: Validate AI-generated forecast recommendationscompare baseline vs AI forecast accuracy

Data Objects: DM_FORECAST_MEASURES

Redwood User Experience for Demand Planning

MEDIUM

Type: UI Enhancement Yes

Redwood UX improvements modernize Demand Management pages with improved navigation, planner visibility, and responsive layouts. (Oracle Blogs) Enhances usability and user adoption for planning teams

Pages: Forecast Analysis PagePlanning Central

Config: Redwood Profile Options

Processes: Forecast Collaboration and Demand Analysis

Test Cases: Validate Redwood page renderingfiltersand forecast drilldowns

Data Objects: DM_PLAN_SUMMARY_DV

Improved Forecast Exception Management

HIGH

Type: Feature Enhancement No

Enhanced exception-based planning allows planners to identify demand anomalies and forecast variances faster using AI-assisted prioritization. (Oracle Blogs) Improves proactive decision-making and reduces supply chain disruptions

Pages: Exception Dashboard

APIs: Demand Exceptions REST API

ESS Jobs: Refresh Demand Exceptions Process

Config: Exception Threshold Configuration

Processes: Exception Management and Demand Monitoring

Test Cases: Test alert generation for abnormal demand spikes and shortages

Data Objects: DM_EXCEPTION_ANALYTICS

Intelligent Forecast Recommendations

HIGH

Type: AI Enhancement Yes

Embedded AI now recommends demand adjustments using historical patterns, demand signals, and planning trends. (Oracle Blogs) Improves forecast precision and reduces manual intervention

Pages: Forecast Recommendations UI

APIs: Planning Recommendations API

ESS Jobs: Demand Forecast Generation ESS Job

Config: AI Recommendation Rules

Processes: Demand Sensing and Forecast Collaboration

Test Cases: Validate recommendation accuracy against historical demand data

Data Objects: DM_FORECAST_HISTORY

Enhanced Demand Sensing Capabilities

HIGH

Type: Functional Enhancement No

Oracle enhanced demand sensing logic to improve short-term forecast responsiveness using real-time operational inputs. (Oracle Documentation) Helps organizations react faster to volatile market demand

Pages: Demand Sensing Work Area

APIs: Demand Signals API

ESS Jobs: Collect Demand Signals ESS Job

Config: Demand Sensing Parameters

Processes: Short-Term Demand Planning

Test Cases: Validate demand sensing calculations with incremental sales inputs

Data Objects: DM_DEMAND_SIGNAL_FACTS

Forecast Collaboration Improvements

MEDIUM

Type: Enhancement No

Collaboration workflows between planners, sales, and supply chain teams are streamlined with updated approval and commenting capabilities. (Oracle Documentation) Improves cross-functional planning alignment

Pages: Collaborative Planning Workspace

APIs: Collaboration Services API

ESS Jobs: Forecast Collaboration Sync Job

Config: Collaboration Workflow Setup

Processes: Consensus Forecasting

Test Cases: Validate user approvalscommentsand collaborative edits

Data Objects: DM_COLLAB_FORECAST_DV

AI-Based Demand Pattern Recognition

HIGH

Type: New Feature Yes

AI models identify unusual demand behavior and emerging consumption trends automatically for planners. (Oracle Blogs) Enables faster response to changing market conditions

Pages: AI Insights Dashboard

APIs: AI Insights API

ESS Jobs: AI Demand Analysis Job

Config: AI Planning Configuration

Processes: Predictive Demand Analysis

Test Cases: Test detection of seasonal and irregular demand spikes

Data Objects: DM_PATTERN_ANALYSIS

Planning Performance Optimization

MEDIUM

Type: Technical Enhancement No

Oracle optimized planning engine processing and forecast aggregation performance for large-volume enterprises. (Oracle Blogs) Improves scalability and reduces planning cycle duration

Pages: Planning Central

APIs: Planning Data Services API

ESS Jobs: Refresh Planning Data Job

Config: Planning Engine Parameters

Processes: Enterprise Demand Planning

Test Cases: Run high-volume forecast processing and benchmark execution times

Data Objects: DM_AGGREGATE_FORECASTS

Expanded Integration with Supply Planning

HIGH

Type: Integration Enhancement No

Demand Management now offers tighter synchronization with Supply Planning for near real-time forecast consumption and supply alignment. (Oracle Blogs) Improves end-to-end supply chain coordination

Pages: Supply-Demand Pegging UI

APIs: Supply Planning Integration API

ESS Jobs: Plan Collections ESS Job

Config: Supply Planning Collections Setup

Processes: Integrated Business Planning

Test Cases: Validate end-to-end forecast to supply propagation

Data Objects: DM_SUPPLY_ALIGNMENT_DV

Enhanced Forecast Analytics and KPIs

MEDIUM

Type: Analytics Enhancement No

Additional analytics and KPI dashboards provide planners deeper visibility into forecast accuracy, bias, and demand volatility trends. (Oracle Documentation) Supports data-driven planning and continuous forecast improvement

Pages: Forecast Analytics Dashboard

APIs: OTBI Subject Areas

ESS Jobs: Generate Forecast Metrics Job

Config: KPI Threshold Definitions

Processes: Forecast Performance Monitoring

Test Cases: Validate KPI calculations and dashboard refresh accuracy

Data Objects: DM_FORECAST_KPI_DV

Affected Components Across Demand Management 26A

Deduplicated inventory of Demand Management components impacted by the 26A release (initial + patch). Use these lists as your regression scope baseline.

Affected Pages

AI Insights Dashboard Collaborative Planning Workspace Demand History Demand Management Workbench Demand Sensing Work Area Exception Dashboard Forecast Forecast Analysis Page Forecast Analytics Dashboard Forecast Recommendations UI Forecast Review UI Item Planning Central Supply-Demand Pegging UI

Affected APIs

AI Insights API Collaboration Services API Demand Exceptions REST API Demand Management Demand Signals API OTBI Subject Areas Planning Data Services API Planning Recommendations API Supply Planning Integration API SupplyPlanningForecasts REST API

Affected ESS Jobs

AI Demand Analysis Job Collect Demand Signals ESS Job Demand Forecast Generation ESS Job Demand Planning Data Collection Forecast APIs Forecast Collaboration Sync Job Generate Forecast Metrics Job Plan Collections ESS Job Refresh Demand Exceptions Process Refresh Planning Data Job

Affected Config Objects

AI Planning Configuration AI Recommendation Rules Collaboration Workflow Setup Demand Sensing Parameters Exception Threshold Configuration Forecast Parameters Generate Forecast KPI Threshold Definitions Planning Engine Parameters Planning Profiles Redwood Profile Options Supply Planning Collections Setup

Affected Business Processes

Consensus Forecasting Consensus Planning Demand Forecasting Demand Sensing and Forecast Collaboration Enterprise Demand Planning Exception Management and Demand Monitoring Forecast Collaboration and Demand Analysis Forecast Performance Monitoring Forecast Profiles Integrated Business Planning Predictive Demand Analysis Short-Term Demand Planning

Recommended Test Cases

Demand Planning Run high-volume forecast processing and benchmark execution times Test alert generation for abnormal demand spikes and shortages Test detection of seasonal and irregular demand spikes Validate AI-generated forecast recommendations Validate KPI calculations and dashboard refresh accuracy Validate Redwood page rendering Validate demand sensing calculations with incremental sales inputs Validate end-to-end forecast to supply propagation Validate recommendation accuracy against historical demand data Validate user approvals and collaborative edits and forecast drilldowns comments compare baseline vs AI forecast accuracy filters

CROSS-QUARTER

See How Oracle Demand Management Evolves: 26A → 26B

Compare 26A baseline changes to the May 2026 26B update for Oracle Demand Management.

View Oracle Demand Management 26B

Other Oracle 26A Modules

Continue your 26A release readiness across other Oracle modules.

26A Cash Management Changes

View Analysis

26A Costing Changes

View Analysis

26A ERP & AI Agents Changes

Oracle Demand Management 26A FAQs

Common questions from teams preparing for Oracle Demand Management 26A.

What changed in Oracle Demand Management 26A?

Oracle Fusion 26A (February 2026) introduces 11 feature changes for Oracle Demand Management, with 6 flagged HIGH severity by Oracle. Changes touch business processes including Consensus Forecasting, Consensus Planning, Demand Forecasting, Demand Sensing and Forecast Collaboration and surface on pages such as AI Insights Dashboard, Collaborative Planning Workspace, Demand History.

How many high-risk changes does Oracle Demand Management 26A have?

Oracle marks 6 of the 11 changes as HIGH, 1 as MEDIUM-HIGH, 4 as MEDIUM and 0 as LOW. High-severity items in Demand Management typically require comprehensive regression validation before production cutover because they touch core transactional, security or accounting logic.

Which APIs are affected by Oracle Demand Management 26A?

Affected APIs include AI Insights API, Collaboration Services API, Demand Exceptions REST API, Demand Management, Demand Signals API. Custom integrations consuming these endpoints should be validated against the 26A schema and behavioural deltas during your test pod cycle.

What test cases should run for Oracle Demand Management 26A?

SyntraFlow recommends validating Demand Planning, Run high-volume forecast processing and benchmark execution times, Test alert generation for abnormal demand spikes and shortages, Test detection of seasonal and irregular demand spikes, Validate AI-generated forecast recommendations. The release-aware test pack is auto-composed by SyntraFlow Release Intelligence based on the 26A impact analysis on your specific tenant.

How does Oracle Demand Management 26A differ from 26B?

26A landed February 2026 and 26B follows in May 2026. The 26A Demand Management changes establish the baseline that 26B builds on. Validating 26A first ensures a smoother 26B upgrade. Use SyntraFlow Release Intelligence to compare both quarters.

Prepare Oracle Demand Management for 26A

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