Warehouse Activity Profiling and Data Mining

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ol epnpgot rht uonfi t yt hteo pc ri ce ka itne ga tdoyunra. m iTc hf iorrdw, asridn gpl ei c- kl i nl ien eo. r dI ne r tsh i ms ao yp e ar al st oi n gr espc reensaerni ot , aa nn w a b u a h t t i o c c h m h p a t i h t c e e k d r e e l d o i o a s n k a - d t a l s h e e e a t a s u d t p a i n a f l t u o o l n l t - g h c e a fa r d s t a t o n p y ’ i ’ s s c k w o - r p o s a r h t c h i k f t o l ’ i s f n o s e i r s n d . g elres l mi naeyoyr ideel dr sa. nTuhmo sbee rS Ko fUSsKcUa sn fboer

Figure 13. Lines per order grid analysis. (RightChain™ Insights)

Lines and Cube per Order Distribution Ti nhf eo rl mi naetsi oann dn eceudbeedpteor do er df i enre doirsdt reirb upti icokni nbgr isnt gr as t teoggye. t hI te ri si na oj onien tp rdoi sf itlrei bt hu et i oc nr i ttihc aa tl classifies all orders into lines per and cube per families. It illustrates the typical daily ap ni cdk ti nh ga taoc ct icvui pt yy. l eI ns st ht hi sa ne xaa cmu pb li ec f(oFoi gt uorf es p1 a4 c) et. hTe rheo saer eo r1d7e6r so radr ee rpsrwo bi tahb loyncealni nd ei diat et ems fcoarr tas , st iontgelse, oorp se hr ai pt opri ntgo cboanttcahi nteorgse. t hTehre rf oe ri spoi cnkei nogr di ne rt owci tohmmp aorrtemt he na nt a 1l i 0z el di n pe iict ke imn gs tchaantdiodcactuepfioers ams ionrgel et hoapner2a0t orc ut ob ipc i cf eketto, aa bpoaullteta. t hi r d of a p al l et . T ha t ord er i s a

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