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  MODEL ERROR CHECK & INTEGRITY VALIDATION      
  Automated checks to verify model integrity, data consistency, and calculation accuracy    
             
  MODEL INTEGRITY CHECKS
  # Check Description Expected Actual Status  
  1 Historical data has 36 periods 36 36 PASS ✓  
  2 All demand values are positive 0 0 PASS ✓  
  3 Seasonal indices sum to 12.0 12 12.0 PASS ✓  
  4 Trend R-squared between 0 and 1 0-1 0.9982 PASS ✓  
  5 All smoothing constants between 0 and 1 0-1 0.40 PASS ✓  
  6 Best MAPE below threshold 15.0% 0.3% PASS ✓  
  7 Tracking signal within control limits 4.0 3.08 PASS ✓  
  8 CMA values present for valid periods 24 24 PASS ✓  
  9 All HW forecast values are positive 0 0 PASS ✓  
  10 Cumulative demand = SUM of demand 203,250 203,250 PASS ✓  
    OVERALL SCORE   10/10 ALL PASS ✓  
             
  MODEL DOCUMENTATION & VERSION CONTROL
  Model Name     Demand Forecasting Model    
  Version     1    
  Created Date     2026    
  Last Modified     2026    
  Author / Owner     [Enter Owner]    
  Data Source     Sample Data (Replace with Actual)    
  Forecast Horizon     12 months (Jan-Dec 2026)    
  Historical Window     36 months (Jan 2023-Dec 2025)    
  Primary Method     Holt-Winters    
  Status     Draft — Pending Validation    
             
  COLOR CODING LEGEND
  Blue text   User-adjustable input values (hardcoded assumptions)      
  Black text   Formulas calculating within the same sheet      
  Green text   Cross-sheet references (links to other sheets)      
  Light blue bg   Forecast periods / summary rows      
  Dark header   Section headers and table titles      
             
  SHEET INDEX
  Dashboard   Executive summary with key metrics and navigation      
  Assumptions   All model parameters and configuration      
  Historical Data   36 months raw demand data with summary statistics      
  Seasonal Decomposition   Multiplicative decomposition with seasonal indices      
  Trend Analysis   OLS linear regression on deseasonalized data      
  Moving Averages   SMA, WMA, and Naive forecast methods      
  Exponential Smoothing   SES, Holt, and Holt-Winters methods with 12-mo forecast      
  Forecast Comparison   Side-by-side comparison of all methods with recommendation      
  Error Check   This page: integrity checks, documentation, and legend