DEMAND FORECASTING MODEL — EXECUTIVE DASHBOARD
  Comprehensive demand analysis with seasonal decomposition, trend, and exponential smoothing
                 
  KEY PERFORMANCE METRICS
  Avg Monthly Demand Avg YoY Growth Best MAPE Recommended Method
  5,646 6.6% 0.3% Holt-Winters
                 
  MODEL STATUS FORECAST SUMMARY (2026)
  MAPE Threshold Check   PASS ✓   Annual Forecast (Consensus)   77,594  
  Error Check Score   10/10   Monthly Average   6,466  
  Tracking Signal   100.0%   Peak Month Forecast   7,318  
  Trend R-Squared   0.9982   Trough Month Forecast   5,690  
                 
  SEASONAL DEMAND PROFILE
  Month   Seasonal Index   Interpretation   2026 Consensus Fcst  
  Jan   0.823   Trough   5,690  
  Feb   0.845   Trough   5,797  
  Mar   0.924   Trough   6,086  
  Apr   1.032   Normal   6,469  
  May   1.109   Peak   6,748  
  Jun   1.158   Peak   6,948  
  Jul   1.037   Normal   6,603  
  Aug   0.977   Normal   6,449  
  Sep   0.918   Trough   6,297  
  Oct   0.950   Trough   6,436  
  Nov   1.034   Normal   6,753  
  Dec   1.193   Peak   7,318  
                 
  SHEET NAVIGATION
  ▶ Assumptions     Model parameters & configuration        
  ▶ Historical Data     36-month demand data        
  ▶ Seasonal Decomposition     Seasonal index calculation        
  ▶ Trend Analysis     Linear trend regression        
  ▶ Moving Averages     SMA, WMA, Naive methods        
  ▶ Exponential Smoothing     SES, Holt, Holt-Winters        
  ▶ Forecast Comparison     Method comparison & selection        
  ▶ Error Check     Integrity checks & documentation        
                 
  Note: This model uses sample/illustrative demand data. Replace Historical Data column E with actual values.    
  All blue-font values in the Assumptions sheet are user-adjustable. Green-font values are cross-sheet references.