Demand Forecast
PointForecast95% LB80% LB80% UB95% UB
5189.626213071025864.21370375604173.0098663657172106.242559776334115.038722386011
5275.425714221366149.560517178371658.513370920655992.3380575220762101.290911264361
5382.133520993014555.823423949072164.930273217924799.3367687681043108.443618036957
5476.250903843513749.503305916776358.761589617358793.7402180696687102.998501770251
5580.567572106182253.389515088817162.796795809372798.3383484029916107.745629123547
56100.62909195610373.027288181206282.5812425473419118.676941364863128.230895730999
5776.3229608157148.303818073352258.002228123719994.6436935077002104.342103558068
5883.096970122224654.666614014617464.5073594630039101.686580781445111.527326229832
5972.869568625675844.033862690254454.014913960276391.7242232910753101.705274561097
6057.19396099632927.958524875367238.077936811328576.309985181329786.4293971172909
6185.013569476038755.383362985522665.639418820795104.387720131282114.643775966555
6293.381295718451963.361936547087873.7526918021736113.009899634730123.400654889816
6389.626213071025859.22268180493669.7464125239329109.506013618119120.029744337116
6475.425714221366144.642804972290255.297851744633795.5535766980984106.208623470442
6582.133520993014550.975852751864461.7606167824631102.506425203566113.291189234165
6676.250903843513744.722930889098855.635870395508896.8659372915186107.778876797929
6780.567572106182248.673593567858459.7132204703145101.42192374205112.461550644506
68100.62909195610368.373260616764979.5381374911554121.720046421050132.884923295440
6976.3229608157143.709291231001754.998028498524897.6478931328953108.936630400418
7083.096970122224650.129346122772261.5405994531489104.653340791300116.064594121677
7172.869568625675839.551750261352951.08421816917394.6549190821786106.187386989999
7257.19396099632923.529590974795235.182012590912979.205909401745290.858331017863
7385.013569476038751.005802415637262.7770858157733107.250053136304119.021336536440
7493.381295718451959.033937613012870.922765408939115.839826027965127.728653823891


Actuals and Interpolation
TimeActualForecast
16666.6400081602945
26674.8865290244873
36669.4466779638461
47654.592968576561
53465.359813335731
66653.5306148746235
76660.2131403294856
86681.3710894221322
96654.1503901382023
106663.170927562093
114453.4785961678077
124436.0086271515583
136665.3413647125152
1487.573.8332331092841
156672.6698371634263
166657.2076479997321
176665.5773520419694
1865.559.7783847805255
1965.565.1808994846169
208885.3000011788247
214261.5082524102149
228864.5826998014614
238858.7924091111244
246448.658793284746
258879.3842209531546
268889.3860473656974
278885.3666565050138
286371.669877609083
2911076.728036815868
308577.1575352833932
318882.9615773183237
32108103.975665764726
3388.02380.4326749481525
348888.6492400856969
356678.2967726105023
3644.560.2928816562315
3788.585.1148847421264
388894.1239817721025
3910889.206744989429
406678.5725460830362
418582.895184727681
426677.4130342232758
436679.566127179505
4411097.0528674218656
458375.2019256231291
466683.457016080909
478369.9167389332608
484456.7242903583614
498382.13007477616
5010590.6613214415051


What is next?
Simulate Time Series
Generate Forecasts
Forecast Analysis