Scenario Planner

SJ
Sarah Johnson

🔮 AI What-If Analysis Engine

Monte Carlo simulations: 10,000 runs • Variables analyzed: 45 • Confidence: 94.7%

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Market Conditions

+3%
75%
60%

Supply Chain Factors

0%
+10%
25%

Seasonal & Event Factors

🧠 AI Scenario Insights

Critical Factor

Supply Chain Risk Alert

AI analysis shows 78% probability of supply disruption in Q2. Recommend increasing safety stock by 35% for critical SKUs.

Impact: $2.3M revenue risk Mitigation cost: $450K
Opportunity

Market Expansion Window

Neural network predicts 85% success rate for Electronics category expansion under current scenario parameters.

Potential gain: +23% revenue Investment needed: $1.2M
Risk Factor

Demand Volatility Increase

Machine learning models predict 40% increase in demand volatility. Recommend flexible production scheduling.

Confidence: 91.3% Affected SKUs: 1,245

Scenario Comparison

Baseline Scenario

Current State
Total Revenue $45.2M
Profit Margin 18.5%
Stock-out Risk 12%
Service Level 94.2%

Optimistic Scenario

Best Case
Total Revenue $58.7M (+30%)
Profit Margin 22.3% (+3.8%)
Stock-out Risk 8% (-4%)
Service Level 97.8% (+3.6%)

Pessimistic Scenario

Worst Case
Total Revenue $38.4M (-15%)
Profit Margin 14.2% (-4.3%)
Stock-out Risk 23% (+11%)
Service Level 87.5% (-6.7%)

Revenue Impact Analysis

Risk Distribution