| Minimums
              & Maximums are most useful when it comes to purchasing merchandise
              and distributing that merchandise from a central warehouse to the
              stores. As weve mentioned, a chain of 40 stores has to deal
              with half a million stocking decisions to keep its operation running.
              There is simply no way to make these decisions correctly without
              automation. The better a retailer becomes at using Minimums &
              Maximums to control purchasing and distribution, the fewer inter-store
              transfer he will have to make. Of course no distribution system
              can reduce the margin of error completely (customers are, after
              all, highly unpredictable) so it becomes necessary to use Automatic
              Transfers to fully optimize inventory. The final step in achieving optimal inventory is balance, or distributing
              existing stock among your stores in order to maximize sales. No
              two stores will ever have identical sales. Even assuming that two
              stores are in the same economic zone and serve the same demographic
              base, one manager may decide to highlight a certain style of boot
              in the display window while the other one doesnt, or one store
              may have an outstanding saleswoman who really knows how to push
              tennis shoes while another store may have someone who is very good
              at selling handbags. In most cases, however, economic and demographic
              factors are enough to create major differences in the sales patterns
              of different stores. The goal of the retailer, even after every
              effort has been made to only purchase the stock that is needed,
              is to constantly monitor sales and move merchandise to where it
              replenishes a sale that has been made. We do this through Automatic
              Transfers.
 
  XpertMartTM
              allows you to balance inventory between any two stores. You can
              select, for example, Store #12 and Store #35, and ask the system
              to create Automatic Transfers between these two stores. XpertMartTM
              will look for items in Store 12 that are above their Minimum and
              below their Minimum for Store 35 and transfer enough items to cover
              the Minimum. However, an Automatic Transfer will never ship items
              out if it will cause the stock of that item to fall below its Minimum.
              In the table above, there are several examples that illustrate these
              rules. In the first item in the table, the Marilyn 6½ black
              dress sandal, XpertMartTM will transfer out 4 pairs from Store 12,
              where it is overstocked, to store 35, where it is understocked.
              Notice that only 4 pairs are sent out and not 5, because only 4
              additional pairs are needed for Store 35 to cover its Minimum. In
              the second example, no pairs of the Marilyn 6½ white sandal
              are shipped out because Store 12s stock is below its Minimum
              and therefore cannot afford to send items to Store 35. Similarly,
              in the third example, only 2 pairs of the Marilyn size 7 black sandal
              are shipped out to Store 35, because to send any more would mean
              Store 12 is understocked as is the case with the next example, the
              size 7 white sandal. In the last two cases, no transfer is necessary,
              as Store 35 is overstocked. The new stock levels after the transfers
              are complete are shown in the table below.  The
              process could also go the other way, with Store 35 sending all items
              above Minimum to cover inventory gaps in Store 12, for example,
              sending 2 pairs of the size 7½ white Marilyn sandals to Store
              12. Balancing inventory among these two stores will increase sales
              by reducing stock-outsall without having to order new merchandise!
              Balancing inventory will also accelerate rotation, as items will
              sell faster, particularly if the alternative is placing an order
              with a vendor with long delivery times.
 
 Lets
              examine what these transfers have done to our inventory. Prior to
              the Automatic Transfers, we had a total of 36 items in stock between
              the two stores (for the 6 size & color combinations shown above).
              Of these 36 items, 15 were overstocked, i.e. over their Minimumthats
              over 40%. Furthermore, we were also understocked by 15 items. Definitely
              sub-optimal inventory in both cases. Now, of a total of 12 possible
              supply decisions (6 size/color combinations * 2 stores), the system
              took 3 supply actions, transferring a total of 8 items. We still
              have a total of 36 items, only this time, we are only overstocked
              by 5 items. With these three simple transfers, our excess inventory
              dropped from over 41% to just under 14%. Similarly, we are now only
              understocked by 7 items instead of 15 so that our merchandise shortage
              as dropped form over 41% to just under 20%. As we can see from this
              example, a little bit of fine-tuning can yield major improvements
              in our inventory optimization. This example took place in a total
              universe of 12 supply decisionsnow imagine the consequences
              in a total universe of 500,000 supply decisions!  
 There
              is also the option of balancing inventory across the entire chain,
              in which case the system will look for opportunities to move stock
              in every store. The advantage of placing Automatic Transfers two
              stores at a time is that it gives the user greater control. It may
              not be cost effective, for example, to balance inventory between
              two stores that are in different cities, or between two stores that
              carry very different merchandise. Automatic Transfers are ideal
              for balancing inventory between two stores that are in close proximity
              with similar merchandise.  Some
              retailers are afraid of using automation to manage their distribution
              system because they are afraid of losing control over their operation.
              The nightmare scenario is trucks full of merchandise crisscrossing
              the country on some computers orders. The fear is unfounded.
              XpertMartTM will always give the user the opportunity to review
              every Transfer Order before it is executed. This way the user has
              complete freedom to edit or veto any Transfer Order the system generates.
              Automatic Transfer Orders are really Automatic Transfer Suggestions,
              in this regard. All XpertMartTM is doing at this point is simplifying
              the decision-making process by concentrating the right data in the
              hands of the user.  You
              will never appreciate all the little cases of one blue pair
              of this in size 7 and one pair of those in brown size 8.5
              the system will pull up and how impossible it would
              be to do this by hand until you actually have one of these suggested
              transfer reports in your hands. You may think this document has
              taken too much time over-analyzing one pair of style ABC in blue
              at store 42. This may seem absurd as you would never have the time
              to do this analysis. The point here is that all you have to do is
              set the criteria and XpertMartTM whizzes through the 500,000 or
              2,000,000 decisions and makes them for you. When you see all of
              the items that need to be transferred and look the sale prices totals
              on the report, you will see how XpertMartTM pays for itself.  Probably
              the most dramatic case we have ever seen was with a client of ours,
              a chain of 30 shoe stores. The year before they started working
              with us, store managers set Minimums manually; in other words, they
              were in no way based on actual sales trends. Once we helped them
              automate their chain, the software began calculating and re-calculating
              Minimums based on actual sales. On a Saturday night, five days before
              Christmas, we realized that each of their 30 stores had, on average,
              sold 50% of its stock during this peak season. Store managers were
              able to restock their stores by the following Monday morning without
              consulting senior management, solely based on Minimums. This way
              their stores optimized their inventory in time to take advantage
              of the 2½ days left before Christmas. Managers later told
              us that its as if we had two holiday seasons that year!
              
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