Picking & Packing for e-commerce with IDpick&pack
The e-commerce explosion has a significant impact on logistical processes. Where there used to be no contact between the consumer and the distribution centres, as they only served the consumer by restocking the stores, e-commerce brings the store to the distribution centre.
In the traditional model, DCs are used for preparing large orders for stores, whereas now they are confronted with orders which on average contain no more than one order line.
The preparation of one large order can often be controlled by a standard ERP stock module, in which a picking list (which is often a delivery note) is printed for each order for the picker to set to work with. Once the picking has been completed, the picker enters the information for transport, including the amount and type of packaging and finishes by printing shipping labels. This stage is sometimes carried out in the ERP system, but is often done directly in a system provided by the carrier.
For picking in an e-commerce environment, however, this method is no longer adequate. To be able to work efficiently, various orders must first be combined into one single picking batch, which can then be carried out according to the optimal walking distances.
Next, a picking batch is processed and packed per order. As a substantial part of e-commerce orders consist of one single line, these "one line orders" can be jointly processed in a separate picking batch, so that during the processing/packaging stage a shipping label can be printed after each article, further increasing efficiency.
PHI DATA has developed a solution for this, IDpick&pack, which makes use of the newest generation of hand held terminals and benefits from the ergonomics of the User Interface of Android.
IDpick&pack does not only manage stocks, but takes care of efficient processing of the picking and packing. IDpick&pack is especially suitable for an environment in which many small orders (i.e. with few order lines) must be prepared, a common situation in e-commerce for instance, where the average number of lines per order is generally very low.