Key Areas for Agent-driven Investment in IBP
Four primary focus areas have been identified for agent-driven investments within SAP IBP, developed in collaboration with customers:
- Autonomous Planning and Decision-Making
- Agents support demand and inventory planners by continuously monitoring inventory levels, sales patterns, and lead times.
- The system automatically detects changes, performs updates, and may trigger routine tasks or notify planners of complex issues.
- When exceptions arise, agents provide analysis and recommendations for mitigation, helping planners optimize stock levels across the supply chain.
- Automated Configuration of Systems
- Agents designed for end-to-end system administrators ensure planning systems remain operational.
- For example, a planning area configuration agent can streamline the process of configuring planning areas in IBP, serving as a bridge between business users and modeling experts by translating logic from Excel into IBP calculations and supporting advanced key figure modeling.
- Fast Response to Supply Chain Disruptions
- Exception handling agents autonomously respond to disruptions, such as supplier issues detected via alerts from business networks for logistics.
- Agents can create and compare scenarios, recommend mitigation strategies for shortages, and provide planners with actionable analysis and resolution options. Routine tasks or notifications to stakeholders can be triggered automatically when needed.
- Root Cause and Post-Scenario Analysis
- Agents increase visibility and drive continuous improvement by identifying root causes behind planning outcomes.
- For example, an agent might analyze explanation logs and gating factors to pinpoint bottlenecks and constraints, suggesting or executing resolution tasks and notifying relevant stakeholders for necessary actions.