Warehouse Activity Profiling and Data Mining

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t p b h y g t ti theemdsi s(tFr ai bmuitl iyo An )mma ay ys umgagkees tuipt e5m0 %p o op futl ha rei tpyi cf ka mi n igl i aecs t. i vF iot ry ,etxhaemnpelxet, 1t h5e%t oopf 5t h%e oi tfetmh es (i tFeammsi l(yFBa m) mi l ya yC t)a ckoevuesr ttoh e8 0r %e moafi nt hi ne gp pi cikc ikni ng ga catci vt iivt iyt,ya. n Td ht ehseer feammaiilni ei ns gm8a0y%i no ft ut hr ne ss ut ogrgaegset tmh roedee a, lFt ae mr nial yt i vBe isnt oar as ge me mi - ao ud teosm- Fa taemd i lmy oAdi enr aa nt eal yu tpormo ad tuecdt ihvieg hpliyc kpirnogd mu cot di vee, ab nr eda Fk apmo iinl yt sCmi na yaa ml s oa ns uu ag lg pe si ct kt ihnegl omc ao tdi eo nt hoaf tt ho ef f ietresmhsi gwhi tsht ionr aa gset odreang sei tmy .o dTeh. eAf ai tme mi l ys liotecmatsedinitnhethe golden zone (close to a travel aisle and/or at or near waist level), B silver zone , and C items in the remaining spaces. o a p d t u t e l h s a e c r e 1 i n t 0 e d % m in s m g r o p e s o p t p r p u e o s la p e r n u i t t la y 9 r ) 0 . i t % e F m i g o s u f r r t e h e p e 1 r p 9 e i s c i e s k n i a n t g 7 cl 0 a a % s c s t i i o v c f i t p t y h o , e p a u p n l i d a c k r s i i o t n y g o d n a i c . s t t i K r v i e i b t y u y , b t i t r o h e n e a 5 k in p 0 d o % i i c n a m t t s i o n i s n

Figure 19. RightChain™ SKUs popularity profile for a large service parts company.

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