← Back to Dashboard                
                   
  FORECAST COMPARISON & MODEL SELECTION        
  Side-by-side 12-month forecast comparison across all methods with accuracy ranking        
                   
  12-MONTH FORWARD FORECAST (Jan – Dec 2026)
  Period Month Trend Fcst Seasonal Idx Trend+Seasonal SMA Ext. DES Ext. HW Forecast Consensus Avg
  37 Jan 6,198 0.823 5,099 5,947 6,600 5,112 5,690
  38 Feb 6,228 0.845 5,261 5,977 6,666 5,285 5,797
  39 Mar 6,258 0.924 5,780 6,007 6,732 5,824 6,086
  40 Apr 6,288 1.032 6,491 6,037 6,798 6,550 6,469
  41 May 6,318 1.109 7,007 6,068 6,864 7,053 6,748
  42 Jun 6,348 1.158 7,354 6,098 6,930 7,412 6,948
  43 Jul 6,379 1.037 6,613 6,128 6,996 6,675 6,603
  44 Aug 6,409 0.977 6,264 6,158 7,063 6,311 6,449
  45 Sep 6,439 0.918 5,914 6,188 7,129 5,957 6,297
  46 Oct 6,469 0.950 6,145 6,218 7,195 6,186 6,436
  47 Nov 6,499 1.034 6,722 6,249 7,261 6,781 6,753
  48 Dec 6,530 1.193 7,787 6,279 7,327 7,878 7,318
  TOTAL   76,363   76,436 73,353 83,561 77,026 77,594
  Min Month               5,690
  Max Month               7,318
  Range               1,628
                   
  HISTORICAL ACCURACY COMPARISON (In-Sample)  
  Metric SMA WMA Naive SES DES (Holt) Holt-Winters Best Method  
  MAE 733 673 543 591 626 17 Holt-Winters  
  MAPE 12.7% 11.7% 9.5% 10.3% 11.1% 0.3% Holt-Winters  
  RMSE 832 773 694 722 729 21 Holt-Winters  
  Bias 135 117 91 215 63 2 Holt-Winters  
  Wins (of 4) 0 0 0 0 0 4 Holt-Winters  
                   
  MODEL RECOMMENDATION  
  Recommended Method     Holt-Winters          
  Best MAPE     0.3%          
  MAPE Threshold     15.0%          
  Threshold Status     PASS ✓          
  Best MAE     17          
  Best RMSE     21          
                   
  TRACKING SIGNAL ANALYSIS (Holt-Winters)
  Period Month Actual HW Fcst Error Cumul. Error Running MAD Track. Signal Status
  13 Jan 4,500 4,487 13 13 13 1.00 In Control
  14 Feb 4,650 4,652 -2 11 8 1.51 In Control
  15 Mar 5,100 5,131 -31 -20 16 -1.29 In Control
  16 Apr 5,750 5,755 -5 -25 13 -1.94 In Control
  17 May 6,200 6,175 25 0 15 0.01 In Control
  18 Jun 6,500 6,502 -2 -2 13 -0.18 In Control
  19 Jul 5,850 5,860 -10 -12 13 -0.94 In Control
  20 Aug 5,550 5,533 17 5 13 0.35 In Control
  21 Sep 5,250 5,219 31 36 15 2.35 In Control
  22 Oct 5,450 5,446 4 40 14 2.83 In Control
  23 Nov 5,950 5,983 -33 7 16 0.43 In Control
  24 Dec 6,900 6,928 -28 -21 17 -1.26 In Control
  25 Jan 4,800 4,774 26 4 17 0.25 In Control
  26 Feb 4,950 4,950 0 4 16 0.25 In Control
  27 Mar 5,450 5,454 -4 0 15 -0.01 In Control
  28 Apr 6,100 6,137 -37 -37 17 -2.21 In Control
  29 May 6,600 6,575 25 -12 17 -0.70 In Control
  30 Jun 6,950 6,916 34 22 18 1.23 In Control
  31 Jul 6,250 6,245 5 28 18 1.58 In Control
  32 Aug 5,900 5,910 -10 18 17 1.04 In Control
  33 Sep 5,600 5,566 34 52 18 2.88 In Control
  34 Oct 5,800 5,803 -3 49 17 2.82 In Control
  35 Nov 6,350 6,364 -14 35 17 2.02 In Control
  36 Dec 7,400 7,382 18 53 17 3.08 In Control
  Tracking Signal Limit     4.0   % In Control   100.0%  
                   
  METHODOLOGY NOTES              
  1. Trend+Seasonal = Linear trend × Seasonal index (multiplicative re-seasonalization).        
  2. Consensus Average = simple mean of all 4 forecast methods. Reduces individual method bias.      
  3. Tracking Signal: values beyond ± limit indicate systematic bias requiring model recalibration.      
  4. MAPE threshold and tracking signal limit are configurable in the Assumptions sheet.