Warehouse Activity Profiling and Data Mining

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Warehouse Activity Profiling and Data Mining | Copyright: RightChain™ Incorporated | All Rights Reserved 1. The P’s and P’s of Profiling Ir ehcaevnet lbyeseunmt emaac rhiiznegd atchtei vtiet ay cphri onfgi l ai ns gt haen d“ Pd’ sa taan md Pi n’ si nogf fPorro mf i loi nr ge ”t. h a n t w e n t y y e a r s . I 1.1 The Power of Profiling Wt h ihnekni nI gwi sr ittoe rae na de ww ha ratti colteh oe rr pb eooopk l, eo hnaevoef wt hrei t tf ei rns ta bt hoiuntgtshIe dpoa rt ot i csut il ma rutloapt ei cm. Iyf Io wa mn ph ar evpe apr irnegp at or et de aoc hn at hc el a st os poircatsoe ms t ii mn aurl,aItdeomt hye tshaimn kei nt hgi nagn, dI rteov iaevwo iwd hraeti novt he enrt ipnegotphl ee wt hheedeal .i Al yc taicvtiitvyi tpyr ooffi ltihneg wwaorrekhs otuhsees. aAms eywo ua ys;t ai tr its tloi kleo or ekaadti nt gh et hper joof ui l rens aol fwcruist tt eonmbeyr Sy uo up paorsrei vyeodu awt e trhe es i dc ko catnodr ’ sw eonf fti ct eo , t hh ee daol rc et oa rd fyo rh aa dd i aa gpnroessi cs rai pn tdi opnr ews cariitpi nt igo nf o. rWyhoeun, ww iotrhko, uett ce. .v Ienn etfaf el kc itn, hg et do i aygonuo, sl ee td aylooun we iltoho hk ii sn ge yaets yc ol ous, eedxaanmdi na irnagn dy oo mu , pd roei ns cgr ibpltoi oo nd generator. Needless to say, you would not be going back to that doctor for treatment. Unfortunately, the prescriptions for many sick warehouses are written and ti mo opl lse, ma ennd t/eodr wl ai tchk o uo tf mt i mu ceh, emx aa nmyi nwa tai roenh oo ru st ee s tr ien- ge .n gFi onre el ar icnkg o af nkdn olwa yl eodugt e p, lraocj ek c ot sf ceox pml mo reanticoenwoift ht hoeurt eaanl youpnpdoer trustnaint ideisnfgo ro fi mt hperroovoetmceanuts.e o f t h e p r o b l e m s a nd wi t h o u t Warehouse activity profiling is the systematic analysis of item and order p o ac b r t o j i e b v c l i t e t i y m v . e s A , b c p t a i i s n v i i p s t o y f i o p n r r t s o p f m r il o i a n j j e g o c r t h - o i t g p e h a p l m o ig r h t d u t e s n c i t i t h s ie i e o s r n f o o o m r t p a c k r a o i u n c s g e e . s s o W f im m e p a w r t o e i v l r l e i a s m l t a a e r n n t d t s w , i n a it f n h o d r s m p o r a m o t v i e o i d n o e f f s l t o a h w n e mr eav jioe rw ma oftui vl la tsieotnos f aenxda mp optl ee npt iraol f irl oe sa dabnldo ctkhse itro i snut ec rc pe sr seftua lt i po nr os f. i l iTnhge. eTxhaemnp wl e es ww ii ll ll sr ee qr vuei rteod t feoarc hr et-heen gpirni ne ec ri pi nl egs yoof uprr owf ai l ri ne hg oaunsde aosr adni sot ur itbl iuntei of no rc tehnet ef ru. l l Ws eet owf i pl l r foi nf i il sehs wpriothcesthseredqautiaregdaitnheprrionfgil,indga.ta compilation, data analysis, and data presentation