Sop Scenario Modeler

sop_scenario_request:
  base_scenario:
    demand_plan: object
    supply_plan: object
    financial_targets: object
  alternative_scenarios: array
    - name: string
      demand_adjustments: object
      supply_adjustments: object
  constraints:
    capacity_limits: object
    material_availability: object
    financial_bounds: object
  planning_horizon: integer
  granularity: string

Output Schema

sop_scenario_output:
  scenarios: array
    - name: string
      demand_plan: object
      supply_plan: object
      financial_projection: object
      gaps: array
      feasibility_score: float
  comparison_matrix: object
  recommendations: array
  executive_summary: string
  consensus_plan: object

Usage

Demand Scenario Comparison

Input: Optimistic, base, pessimistic demand scenarios
Process: Model supply response and financial impact for each
Output: Side-by-side comparison with recommendation

Capacity Constraint Analysis

Input: Demand plan exceeding capacity in Q3
Process: Model capacity addition, demand shaping, outsourcing options
Output: Feasible scenario with cost-service tradeoffs

Financial Plan Alignment

Input: Operations plan vs. financial budget targets
Process: Reconcile volume, price, cost assumptions
Output: Aligned operational-financial plan

Integration Points

• Planning Platforms: o9 Solutions, Kinaxis, SAP IBP connectors
• ERP Systems: SAP, Oracle for master data and constraints
• Financial Systems: Budget and forecast integration
• BI Tools: Visualization and reporting

Process Dependencies

• Sales and Operations Planning (S&OP)
• Demand Forecasting and Planning
• Capacity Planning and Constraint Management

Best Practices

1. Define clear scenario naming conventions
2. Establish assumption documentation standards
3. Include sensitivity analysis on key drivers
4. Track scenario accuracy over time
5. Maintain version control on scenarios
6. Ensure cross-functional alignment on assumptions