Oracle Fusion Cloud Demand Management update 25C introduces enhancements focused on AI-driven process guidance to improve planner productivity and decision-making. The primary new feature is the integration of the Supply Chain Planning Process Advisor, an AI agent powered by large language models (LLMs) and Retrieval-Augmented Generation (RAG).
Importance of Oracle Fusion Cloud Demand Management 25C – What’s New
1. Enhanced Planner Productivity with AI-Driven Guidance
Why It Matters: The Supply Chain Planning Process Advisor, powered by large language models (LLMs) and Retrieval-Augmented Generation (RAG), provides real-time, context-aware answers based on enterprise documents (e.g., SOPs, supplier agreements, S&OP notes). This reduces the time planners spend searching for information, enabling faster and more informed decisions.
Business Impact:
Efficiency Gains: Planners can quickly resolve queries about roles, responsibilities, or collaboration policies (e.g., commit horizons or escalation processes) without navigating complex documentation.
Reduced Errors: Contextual guidance ensures adherence to enterprise policies, minimizing mistakes in demand forecasting or collaboration.
Scalability: The ability to create multiple specialized AI agents tailored to specific SCM areas (e.g., S&OP or forecast collaboration) allows organizations to scale support across diverse planning needs.
2. Improved Decision-Making in S&OP and Collaboration
Why It Matters: The Process Advisor supports critical use cases like Sales and Operations Planning (S&OP) and supply chain collaboration by providing insights from unstructured data (e.g., RACI matrices, meeting notes, or forecast commit rules). For instance, it can guide planners on resolving forecast-commit mismatches or adjusting mid-course S&OP strategies.
Business Impact:
Agility: Planners can make data-driven adjustments during S&OP cycles, improving responsiveness to market changes.
Collaboration: Clear guidance on policies like commit horizons or penalties strengthens supplier and partner relationships, ensuring smoother forecast alignment.
Strategic Alignment: Access to historical and policy-based insights ensures decisions align with organizational goals and compliance requirements.
3. Seamless Integration and Customization
Why It Matters: The Process Advisor is configurable through Oracle AI Agent Studio, allowing businesses to tailor it to their specific workflows. Integration into guided journeys (e.g., “Manage Order Forecasts and Commits”) via a chat-based interface makes it accessible directly within transactional workflows.
Business Impact:
User Adoption: Embedding AI within existing workflows reduces the learning curve, encouraging planners to leverage the tool effectively.
Flexibility: Organizations can upload their own documents (PDFs, TXTs, Markdown) and customize agent responses, ensuring relevance to unique business processes.
Future-Proofing: The ability to create and manage multiple agents supports evolving SCM needs, making the system adaptable to future challenges.
4. Compliance and Security Enhancements
Why It Matters: The update includes robust security controls, such as specific job roles (e.g., SCM Intelligent Agent Management Duty) and permission groups for managing and interacting with AI agents. This ensures that sensitive enterprise data (e.g., supplier agreements) is handled securely.
Business Impact:
Risk Mitigation: Controlled access and role-based permissions prevent unauthorized use, safeguarding proprietary information.
Policy Adherence: The AI’s grounding in enterprise documents ensures planners follow regulatory and internal guidelines, reducing compliance risks.
Smooth Transition: Migration tools for existing AI agents (pre-25C) minimize disruption, ensuring organizations can adopt new capabilities without losing prior configurations.
5. Strategic Advantage in Competitive Markets
Why It Matters: In today’s volatile markets, accurate demand planning and rapid decision-making are critical for maintaining competitive edges. The AI-driven Process Advisor enables organizations to respond faster to supply chain disruptions, optimize inventory, and align forecasts with actual demand.
Business Impact:
Cost Savings: Faster, more accurate planning reduces overstocking or stockouts, optimizing working capital.
Customer Satisfaction: Improved forecast accuracy and collaboration led to better order fulfillment, enhancing customer trust.
Innovation Leadership: Leveraging AI positions organizations as forward-thinking, attracting partners and customers who value cutting-edge technology.
6. No Deprecated Features, Additive Value
Why It Matters: The 25C update adds AI capabilities without removing existing features, ensuring continuity for current users while introducing transformative tools.
Business Impact: Organizations can adopt the Process Advisor without reworking existing workflows, maximizing return on investment in Oracle Fusion Cloud.
EnchantApps Oracle Cloud experts can help you with your 25C Upgrade and testing. We are here to ensure that Oracle Cloud quarterly updates do not impact your business processes. Contact us for more details.