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11.9   Problems in Order Fulfillment Along Supply Chains                                        363

             SECTION 11.8  REVIEW QUESTIONS                   number of customers’ doors. Improper inventory levels are
                                                              typical in EC, as are poor delivery scheduling and mixed-up
             1.  Define order fulfillment and logistics.      shipments.
             2.  Compare traditional logistics with e-logistics.  At the root of many of the problems and challenges are
             3.  List the nine activities of the order fulfillment process.  deficient planning and execution practices. These are some
                                                              of the key causes:

           11.9   PROBLEMS IN ORDER FULFILLMENT               •  Uncertainties in Demand. Many problems along the EC
                  ALONG SUPPLY CHAINS                           supply chain stem from demand uncertainties and the dif-
                                                                ficulties that ensue across the supply chain in trying to
           Order fulfillment is considered a critical success factor for   meet this uncertain demand. This is where demand fore-
           e-commerce. A relatively recent study of close to 600 top   casting comes into play. Here the major goal is to forecast
           supply chain executives conducted by Peerless Research   at a  very detailed  level  the number of  products (at  the
           Group (2013) revealed the order fulfillment was much more   SKU level) of a certain type that will be needed to meet
           intricate and that management and delivery performance is   the demand at specific locations at particular points or
           slipping. As a consequence, customer satisfaction has suf-  time intervals in the future. These forecasts rest on statis-
           fered. The main challenges that these executives and their   tical (time series) estimates from historical patterns,
           companies are facing include (VanLandingham 2014):   trends in sales or order data, and causal factors like the
                                                                weather or promotions.  These factors can all change
           •  Order Expectations. EC orders require higher levels of   quickly, which is why demand forecasting is as much an
              service and attention. The delivery times are much shorter,   art as it is a science. The basic issue is that if the demand
              and the order changes and cancellations are usually last   plan is wrong it will ripple across the chain impacting that
              minute.                                           planned needs for inventory, raw materials, works in
           •  Order Accuracy. If the deliveries to a store are off by a   progress, factory capacity, etc. Companies try to address
              couple of units either way, it is no big deal. If the same   these problems by making adjustments to the forecasts
              thing happens to an EC customer, a merchant might lose   and by sharing the forecasts with the major players in the
              the customer’s business.                          chain.
           •  Multi-Channel Order Management. Because most  •  Lack of Information Sharing. In today’s world the flow
              companies have separate systems for the various chan-  of information across the supply chain is almost as critical
              nels, it is very difficult to present one view of the com-  as the flow of goods and services. Information systems
              pany to consumers.                                support this flow, enabling communication and coordina-
           •  Complex Distribution. In contrast to off-line orders and   tion of the various players and systems in the chain. A
              deliveries, each EC order is usually small with a few   good example of the types of issues that arise with poor
              units, and there are many more of them. Packing and ship-  information flow is the bullwhip effect which is a mis-
              ping is harder. Because consumers cannot “touch, see,   match between the actual demand for goods and the
              and feel” the products before they buy, there are numer-  inventory supplied upstream in the supply chain to meet
              ous returns.                                      the assumed demand.  The mismatch results in excess
                                                                inventory and safety stock that is used as a buffer against
              As a consequence, surveys (e.g., Kinnison  2015) fre-  underestimated demand. In practice the mismatch grows
           quently show that customer satisfaction suffers because of   as you move up the chain from the retailer to the distribu-
           the fulfillment process. Dissatisfaction is usually the result   tor to the supplier to the manufacturer so that variability
           of: (1) inaccurate orders; (2) the lengthy time of the order   in inventory and safety stock increases along the way.
           process; (3) missed delivery schedules; and (4) the lack of   One way to reduce the mismatch is to ensure that infor-
           visibility as the order moves as it move across the process.  mation and, thus visibility, about demand flows to all the
              These issues and problems are typical of the types of chal-  parties involved, so that there is only “one version of the
           lenges that continue to confront both off-line and online   truth.”  The bullwhip effect is described in Online File
           businesses. The problems are exacerbated in EC, especially   W11.1.
           omni-channel EC, because of the mismatch between stan-  •  Inadequate Logistical Infrastructure. Pure play EC
           dard supply chain structures and processes and the special   companies are likely to have more problems because they
           nature and requirements of EC. For example, most manufac-  do not have a logistics infrastructure already in place and
           turers’ and distributors’ warehouses are designed to ship   are forced to use external logistics services rather than in-
           large quantities to a set number of stores; they are not   house departments for these functions—much like Ama-
           designed to optimally pack and ship small orders to a large   zon has done with UPS and FedEx.  These external
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