Transform the Way You Manage Planning with AI-Driven Automation
Running an end-to-end planning process in Oracle Fusion Cloud Supply Chain Planning involves multiple activities – from collecting the latest planning data and running plans to monitoring processes, troubleshooting failures, reviewing planning results, and releasing planned orders.
What if planners could manage these activities through a guided conversational AI experience instead of navigating across multiple pages and scheduled processes?
Join the Webinar
Discover how AI can simplify the Oracle Fusion Supply Chain Planning process – from data collection to planned-order release.
What Will You Discover?
- 1. Run Collection – The AI Agent asks for the required collection parameters, such as source system, collection type, and data entities, and initiates the collection process.
- 2. Monitor Collection & Troubleshoot – The agent monitors the collection status and informs the planner whether the process is running, completed successfully, or failed. In case of failure, the agent retrieves available process and error details, summarizes the issue, and provides troubleshooting guidance.
- 3. Run Plan – After successful data collection, the agent captures the required plan and run parameters and initiates the appropriate planning process.
- 4. Monitor Plan & Troubleshoot – The agent tracks plan execution and provides the latest status. If the plan fails, it retrieves available error information and helps the planner understand the possible cause.
- 5. Review Results & Exceptions – Once the plan is successfully completed, the agent helps review important planning results and exceptions, including: Shortages, Late supplies, Sourcing issues, Other conditions requiring planner attention
- 6. Release Planned Orders – The agent identifies eligible planned orders, presents them for planner review, and supports the release of selected orders after planner confirmation.
From Collection to Execution - Through One AI Experience
Run Collection → Monitor & Troubleshoot → Run Plan → Monitor & Troubleshoot → Review Results & Exceptions → Release Planned Orders
See how an AI-driven approach can connect these activities into a more streamlined planning experience.
Why Attend?
- End-to-End Planning Experience – Manage key planning activities through a single conversational AI experience.
- Reduced Manual Effort – Minimize repetitive navigation and process-status checking across planning activities.
- Faster Troubleshooting – Quickly identify failed processes, review available error details, and understand potential causes.
- Improved Process Visibility – Get faster updates on collection and plan execution status.
- Faster Decision-Making – Identify important planning exceptions and areas requiring planner attention.
- Planning-to-Execution – Streamline the journey from data collection through planned-order release.
- Improved Planner Productivity – Spend more time making planning decisions and less time coordinating routine processes.
Who Should Attend?
- Demand and Supply Planners
- Supply Chain Planning Managers and Leads
- Planning Process Owners
- Oracle Fusion SCM Consultants
- Planning Administrators
- Organizations exploring AI Agents for Oracle Supply Chain Planning
The Future of Supply Chain Planning Is Conversational
AI is changing how planners interact with enterprise applications.
Instead of manually navigating through multiple processes, checking statuses, investigating failures, and reviewing planning exceptions, planners can leverage an AI-driven conversational experience to assist across the planning cycle.
Join us to explore how a Planning Cycle AI Agent can bring greater visibility, efficiency, and productivity to Oracle Fusion Supply Chain Planning.
Don’t Miss Out
Join the webinar and see how an AI Agent can help manage the end-to-end planning process in Oracle Fusion Supply Chain Planning.
Stay ahead of the next evolution in intelligent supply chain planning with Rapidflow.
