Demand forecasting service

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Material Material name Best model Mean error, % Forecast (next period)
1478393 Material 1 LSTM Network 2.5 604.9
1673628 Material 2 Winters method (Triple Exponential Smoothing with trend and seasonality) 5.7 64.0
2189463 Material 3 Winters method (Triple Exponential Smoothing with trend and seasonality) 13.8 1165.9
2339565 Material 4 Holts model (Double Exponential Smoothing with trend) 2.3 2567.5
2679436 Material 5 Winters method (Triple Exponential Smoothing with trend and seasonality) 6.1 81.2
2972567 Material 6 Croston sporadic 75.3 0
6573964 Material 7 Winters method (Triple Exponential Smoothing with trend and seasonality) 33.8 63239.4
6786837 Material 8 Winters method (Triple Exponential Smoothing with trend and seasonality) 2.1 868.9
8367346 Material 9 Holts model (Double Exponential Smoothing with trend) 8.5 212.5
9734634 Material 10 LSTM Network 1.2 4251.9
Material Material name Model Mean error, % Best model 01/2013 02/2013 03/2013 04/2013 05/2013 06/2013 07/2013 08/2013 09/2013 10/2013 11/2013 12/2013 01/2014 02/2014 03/2014 04/2014 05/2014 06/2014 07/2014 08/2014 09/2014 10/2014 11/2014 12/2014 01/2015 02/2015 03/2015 04/2015 05/2015 06/2015 07/2015 08/2015 09/2015 10/2015 11/2015 12/2015 01/2016 02/2016 03/2016 04/2016 05/2016 06/2016 07/2016 08/2016 09/2016 10/2016 11/2016 12/2016 01/2017 02/2017 03/2017 04/2017 05/2017 06/2017 07/2017 08/2017 09/2017 10/2017 11/2017 12/2017 Forecast (next period)
1478393 Material 1 Fact (uploaded data) 10.0 10.0 20.0 40.0 30.0 50.0 60.0 70.0 50.0 80.0 80.0 110.0 80.0 100.0 120.0 140.0 160.0 150.0 150.0 170.0 180.0 130.0 200.0 230.0 240.0 260.0 310.0 280.0 280.0 290.0 330.0 340.0 350.0 350.0 340.0 360.0 370.0 380.0 410.0 390.0 400.0 410.0 420.0 440.0 460.0 460.0 450.0 430.0 460 470 480 500 510 500 540 550 570 560 540 580
1478393 Material 1 Simple Moving Average 3.7 430.0 460.0 470.0 480.0 500.0 510.0 500.0 540.0 550.0 570.0 560.0 540.0 580.0
1478393 Material 1 Single Exponential Smoothing 3.7 430.0 460.0 470.0 480.0 500.0 510.0 500.0 540.0 550.0 570.0 560.0 540.0 580.0
1478393 Material 1 Holts model (Double Exponential Smoothing with trend) 3.2 461.1 461.5 466.5 475.5 492.5 510.3 517.3 539.0 558.9 580.8 588.6 564.7 585.3
1478393 Material 1 Winters method (Triple Exponential Smoothing with trend and seasonality) 2.6 480.0 478.8 477.3 494.9 501.5 507.4 525.7 535.0 533.2 568.7 576.4 579.9 588.8
1478393 Material 1 Simple Average 50.3 232.7 237.3 242.0 246.7 251.5 256.4 260.9 266.0 271.1 276.3 281.2 285.6 290.5
1478393 Material 1 Linear Regression 3.4 488.0 496.2 504.4 512.8 522.0 531.3 539.2 549.4 559.5 570.4 579.8 587.2 596.8
1478393 Material 1 Croston constant 3.7 430.0 460.0 470.0 480.0 500.0 510.0 500.0 540.0 550.0 570.0 560.0 540.0 580.0
1478393 Material 1 Croston sporadic 3.7 430.0 460.0 470.0 480.0 500.0 510.0 500.0 540.0 550.0 570.0 560.0 540.0 580.0
1478393 Material 1 LSTM Network 2.5 X 455.8 490.7 487.6 493.4 506.4 512.8 509.9 544.2 549.6 568.4 564.9 565.9 604.9