improved 

Logistic 

Rethink Amazon's logistics channels. Again and again it happens that returns take a long time before they are processed. There can be a variety of reasons for this.

A) High sick leave in the individual camps

B) Technical malfunctions, power failure, software related

C) Overload due to high number of unprocessed returns / parcels

D) Occasionally, parcels are lost or cannot be assigned to the sender

Intelligent software and comparison of real-time data between the logistics centers of Amazon can optimize the process here. At peak times, the load can be distributed to other warehouses.

Practically, it looks like this, when creating a return label, the normal warehouse is initially printed on the label. On the way to the destination, a package is scanned several times in DHL's logistics. The interfaces are exactly where you can distribute real-time data from Amazon's logistics centers. If traffic jams are found somewhere or if timely processing is not possible, DHL's logistics re-sorts the parcels and distributes the returns to new, less busy warehouses. The packages are automatically given a new label. This type of technology is not new, but is not yet used in logistics. We know the whole thing from the daily travel traffic of all cars, the navigation device would like to redirect the driver to save time and energy. Ultimately, you arrive at your destination more relaxed. This technology is based on the evaluation of real-time data, which requires a good and reliable technical infrastructure. Another example where manual human support is still required can be found at the largest airports in the world. Take off and land every minute. Small delays make aviation sweat. Here, the air traffic controller has to hand out instructions to the pilots that a pair of loops still have to be turned. Last but not least, to put it figuratively again, that beautiful parking garage signals something to the driver, yes there is still something free or not. Many sensors and scanners can work wonders today when it comes to processing a column of processes quickly and efficiently.