Supply chain planning is no longer only about generating forecasts, reviewing supply plans or releasing planned orders. Modern businesses need planning systems that help teams respond faster, analyze complex data, collaborate across functions and make smarter decisions with greater confidence. Oracle’s Redwood experience for Supply Chain Planning represents a major shift in how planning users interact with Oracle Fusion Cloud Supply Chain Planning. It brings a more modern user experience, stronger visualization capabilities, improved navigation, deeper integration points and AI-assisted planning workflows.
For organizations using Oracle Supply Chain Planning Cloud, the move to Redwood is not just a user interface change. It is an opportunity to modernize planning operations, simplify user adoption, improve decision-making and prepare for AI-powered supply chain planning. Oracle’s Redwood Supply Chain Planning office-hours material highlights 26A features, demo capabilities, Redwood versus Classic work area considerations for 26C, roadmap direction and resources for customers planning the transition.
Why Oracle Redwood Matters for Supply Chain Planning
Planning teams work with large volumes of data across demand, supply, inventory, suppliers, customers, items, organizations, resources and scenarios. When planning environments are difficult to navigate, users spend more time searching for information than making decisions. Redwood helps address this challenge by creating a cleaner, more guided and more modern planning experience. It supports better visualization, faster navigation, easier configuration and improved contextual access to planning data.
For business leaders, this matters because supply chain planning decisions directly affect revenue, inventory, service levels, customer commitments, production performance and working capital. A better planning experience can help users identify exceptions faster, understand trade-offs more clearly and take action with better confidence. The shift also supports the broader industry movement toward AI-powered supply chain planning, connected planning workflows, intelligent automation, real-time planning visibility and enterprise-wide decision intelligence.
Redwood Is More Than a New Look
Many organizations initially view Redwood as a visual refresh. In reality, Oracle’s Redwood Supply Chain Planning updates introduce functional improvements that can change how planners work. For example, the 26A material highlights the ability to duplicate visualizations in Redwood. Users can duplicate pivot tables and graphs to apply different filters, measures or groupings, create multiple views of the same data and build a graph from a table or a table from a graph.
This is valuable because planners often need different views for different decisions. A demand planner may need one view for executive review, another for item-level analysis and another for exception management. Redwood makes this easier without forcing users to rebuild views manually. Oracle also highlights external system links in Redwood, enabling users to add contextual links to external applications, reports and supporting systems such as SCM, ERP, EPM and analytics dashboards. This improves speed and consistency by reducing manual searches and re-entry. For planning users, this means less time moving between disconnected tools and more time acting on insights.
Deep Links and Connected Planning Navigation
One of the important Redwood capabilities is support for deep links to planning pages and visualizations. Oracle’s material notes that deep links enable users to drill into a specific page group, page or visualization in Oracle Fusion Cloud applications, with context such as plan name, page group and visualization. This matters for organizations that want to connect planning activity with broader enterprise workflows. A planner, supply chain leader or operations team member can move directly to the relevant planning context instead of manually searching through work areas. In practice, this can support faster decision cycles across demand reviews, supply reviews, S&OP meetings, replenishment analysis, order promising and exception resolution.
AI Agents Are Redefining Planning Productivity
One of the most important themes in Oracle Redwood Supply Chain Planning is AI-assisted planning. Oracle’s 26A material introduces the Planning Measure Expression Assistant, an AI agent that supports measure expressions through a simple chat experience. Users can ask the assistant to build an expression for a business requirement, troubleshoot syntax errors, explain the business logic of predefined or user-defined measure expressions and provide examples of measure functions. This is a meaningful productivity improvement. Measure expressions are powerful, but they can be complex for business users. An AI assistant can reduce dependency on technical users and help planners work faster with calculations, business logic and planning analytics.
Oracle also highlights the Planning Cycle Assistant, available as a predefined AI agent template in AI Agent Studio. It gives planning participants access to planning cycle worklist tasks through a chat experience, helping users retrieve, review and update tasks, navigate from planning cycle tasks and create action or decision items tied to product, demand, supply, financial or executive reviews. This helps planning move from static review processes to more guided, action-oriented planning execution.
Planning Order Release Assistant: AI for Routine Planning Decisions
The Planning Order Release Assistant is another strong example of AI in supply chain planning. Oracle’s material describes it as an AI agent workflow that examines selected orders, evaluates exceptions and marks orders for release based on rules defined by the user. The stated business need is to reduce the manual process of reviewing planned orders and automate routine checks, with the outcome of saving significant time and helping users focus only on orders that need attention.
This is a clear example of how AI can improve planning execution. Instead of manually reviewing every planned order, planners can apply rules, automate routine checks and focus on exceptions that require human judgment. For high-volume supply chain environments, this is especially important. Planning teams often deal with thousands or millions of item-location combinations, order recommendations and exception messages. AI-assisted workflows can help reduce manual effort and improve planning focus.
Stronger Supply Planning, Replenishment and Demand Management
Oracle’s 26A Redwood updates also cover important planning areas such as demand management, replenishment planning, supply planning, sales and operations planning, backlog management and Global Order Promising. In Demand Management, Redwood planning level profiles allow users to define aggregate customer planning levels when there is no business need to view data at the customer site level. Oracle notes that this reduces data volumes and improves performance.
In Replenishment Planning, Redwood capabilities support analysis hierarchies for related items, allowing interchangeable items to be analyzed together and helping users review substitution and supersession results. In Supply Planning, Redwood improves analysis of supplies and demands with capabilities such as selected order totals, additional information drawers, end demands only, firm resources, firm components, change organization, publish order forecast and mass edit of override demand priority. These capabilities matter because planning is increasingly exception-driven. Users need tools that help them quickly identify supply-demand gaps, evaluate availability, review substitutes, compare orders and act faster.
Redwood and the 26C Transition Point
Organizations should also pay close attention to Oracle’s Redwood versus Classic work area direction. The material states that from 26C, for both new and upgrading customers, when specific Redwood profiles are turned on, the corresponding Classic ADF work area will not be accessible in 26C. This applies to Sales and Operations Planning, Supply Planning, Demand Management, Backlog Management and Replenishment Planning. For customers, this makes Redwood readiness important. Teams need to assess current usage, identify affected work areas, review custom processes, prepare training plans, validate reports and ensure that planners are comfortable with Redwood workflows before broader rollout. A successful Redwood migration should not be treated as a last-minute technical switch. It should be handled as a structured change management and business readiness initiative.
How Businesses Should Prepare for Redwood Supply Chain Planning
Organizations planning for Oracle Redwood Supply Chain Planning should begin with a clear readiness assessment.
A strong readiness plan should include:
- Review current Classic work area usage
- Identify key planning users and roles
- Map critical planning processes
- Review current dashboards, tables, graphs and saved views
- Identify external system links and reporting dependencies
- Validate planning integrations and data flows
- Review AI agent readiness and adoption opportunities
- Plan user training and change management
- Test key planning scenarios in Redwood
- Define post-go-live support and optimization needs
The goal is not only to migrate screens. The goal is to make planning faster, easier and more intelligent for users.
Business Benefits of Oracle Redwood Supply Chain Planning
A successful Redwood transition can help organizations improve both user experience and planning performance.
Key benefits include:
- Faster access to planning insights
- More flexible planning visualizations
- Improved what-if analysis
- Better integration with supporting systems
- Reduced manual searching and re-entry
- Stronger planning collaboration
- Easier navigation to relevant planning context
- AI-assisted planning support
- Reduced manual review effort
- Better focus on exceptions and high-value decisions
- Improved planning cycle execution
- Stronger readiness for future Oracle Supply Chain Planning innovation
For businesses managing complex supply chains, these benefits can support better service levels, improved supply responsiveness, faster decision cycles and stronger planning governance.
How NexInfo Can Help with Oracle Redwood Supply Chain Planning
NexInfo helps organizations assess, plan and execute Oracle Cloud transformation initiatives with a practical focus on business process improvement, system readiness, user adoption and long-term managed services.
For Oracle Redwood Supply Chain Planning, NexInfo can support:
- Redwood readiness assessment
- Classic-to-Redwood transition planning
- Supply Chain Planning process review
- Demand, supply, replenishment and S&OP workflow assessment
- Visualization and dashboard review
- External link and deep link planning
- Planning data and integration readiness
- AI agent adoption roadmap
- User training and change management
- Testing and validation support
- Go-live and hyper care support
- Managed services and continuous optimization
NexInfo can help businesses move from a basic Redwood migration to a broader supply chain planning modernization program.
Why NexInfo
NexInfo brings enterprise consulting, Oracle Cloud implementation experience, supply chain process expertise and managed services capability to help organizations modernize planning with confidence. For businesses preparing for Oracle Redwood Supply Chain Planning, NexInfo can help connect the technical transition with practical business outcomes. This includes improved planning adoption, cleaner workflows, stronger dashboards, better integration readiness and ongoing support after go-live. NexInfo supports organizations through the complete lifecycle: assessment, design, implementation, training, go-live, managed services and continuous improvement.
Conclusion
Oracle Redwood Supply Chain Planning is a major step toward a more modern, connected and AI-powered planning experience. The shift brings more than a new interface. It introduces stronger visualization flexibility, deep links, external system connectivity, planning configuration improvements and AI agents that can support measure expressions, planning cycles and planned order release decisions. With 26C making Redwood work area choices increasingly important, organizations should begin preparing now. Businesses that take a structured approach can improve user adoption, reduce planning friction and build a more intelligent supply chain planning foundation. For organizations using Oracle Supply Chain Planning Cloud, the next opportunity is clear: move beyond migration and use Redwood as a catalyst for planning transformation.
FAQ
What is Oracle Redwood Supply Chain Planning?
Oracle Redwood Supply Chain Planning is the modern Redwood user experience for Oracle Fusion Cloud Supply Chain Planning. It provides updated planning pages, visualizations, navigation, configuration capabilities and AI-assisted planning workflows. It is designed to help planners work more efficiently with demand, supply, replenishment, S&OP and order promising processes.
Why is the Redwood transition important for Oracle Supply Chain Planning customers?
The Redwood transition is important because Oracle is expanding planning functionality into the Redwood experience. Oracle’s 26C direction states that when certain Redwood profiles are turned on, the corresponding Classic work area will not be accessible. This means customers should prepare users, processes, dashboards and integrations for Redwood adoption before the transition becomes urgent.
What are the key 26A Redwood Supply Chain Planning features?
The 26A updates include capabilities across visualizations, external system links, deep links, dimension catalogs, measures, planning level profiles, product launches, backlog planning, replenishment planning, supply planning, S&OP and Global Order Promising. These features improve planning navigation, analysis, configuration and user productivity.
How do AI agents support Oracle Supply Chain Planning?
AI agents support planning users by assisting with complex and repetitive planning activities. Oracle highlights AI agents such as the Planning Measure Expression Assistant, Planning Cycle Assistant and Planning Order Release Assistant. These agents can help users create expressions, manage planning tasks, evaluate planned orders and reduce manual review effort.
What is the Planning Measure Expression Assistant?
The Planning Measure Expression Assistant is an AI agent that helps users work with planning measure expressions through a chat experience. It can help build expressions, troubleshoot syntax errors, explain business logic and provide examples of measure functions. This can reduce technical friction and improve planning analytics productivity.
What is the Planning Order Release Assistant?
The Planning Order Release Assistant is an AI agent workflow that reviews selected planned orders, evaluates exceptions and marks orders for release based on rules defined by the user. Its business value is reducing manual order review and helping planners focus on orders that truly need attention.
How does Redwood improve planning visibility?
Redwood improves planning visibility through modern visualizations, duplicate views, configurable tables and graphs, deep links, external links and better contextual navigation. These capabilities help users analyze planning data faster and create different views for different business decisions.
How should businesses prepare for Redwood migration?
Businesses should begin with a Redwood readiness assessment. This includes reviewing current Classic work area usage, identifying affected planning processes, validating dashboards, preparing users, testing key scenarios, reviewing integrations and defining a support model. A structured migration reduces disruption and improves adoption.
What business benefits can Oracle Redwood Supply Chain Planning deliver?
Oracle Redwood Supply Chain Planning can help improve planner productivity, reduce manual analysis effort, strengthen planning visibility, improve collaboration and support AI-assisted decision-making. It can also help organizations reduce friction in demand planning, supply planning, replenishment planning, S&OP and order promising workflows.
How can NexInfo help with Oracle Redwood Supply Chain Planning?
NexInfo can help organizations assess Redwood readiness, plan the transition, review planning processes, support configuration, validate integrations, train users, enable AI agent adoption and provide managed services after go-live. NexInfo helps customers turn Redwood migration into a broader planning modernization opportunity.