Babysitter sop-scenario-modeler
S&OP scenario modeling skill for demand-supply-financial plan alignment with what-if analysis
install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/supply-chain/skills/sop-scenario-modeler" ~/.claude/skills/a5c-ai-babysitter-sop-scenario-modeler && rm -rf "$T"
manifest:
library/specializations/domains/business/supply-chain/skills/sop-scenario-modeler/SKILL.mdsource content
S&OP Scenario Modeler
Overview
The S&OP Scenario Modeler enables comprehensive Sales and Operations Planning through multi-scenario modeling, demand-supply-financial plan alignment, and what-if analysis. It supports the monthly S&OP cycle by facilitating scenario comparison and consensus plan development.
Capabilities
- Multi-Scenario Demand Planning: Create and compare multiple demand scenarios
- Supply Constraint Modeling: Model capacity, material, and resource constraints
- Financial Impact Calculation: Revenue, margin, and cost impact analysis
- Capacity Utilization Optimization: Balance capacity across scenarios
- Inventory Investment Modeling: Working capital implications by scenario
- Gap Analysis and Reconciliation: Identify and resolve demand-supply gaps
- Executive Summary Generation: Automated scenario comparison reports
- Consensus Plan Tracking: Monitor adherence to agreed plans
Input Schema
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
- Define clear scenario naming conventions
- Establish assumption documentation standards
- Include sensitivity analysis on key drivers
- Track scenario accuracy over time
- Maintain version control on scenarios
- Ensure cross-functional alignment on assumptions