Rethink Amazon's logistic ways. Returns often take a long time to be processed. There can be a multitude of reasons for this.
A) High sickness rates in the individual camps
B) Technical faults, power failure, software related
C) Overload due to high number of unprocessed returns/parcels
D) Occasionally, packages are lost or cannot be assigned to the sender
Intelligent software and comparison of real-time data between Amazon's logistics centers can optimize the process here. At peak times, the utilization can be distributed to other warehouses.
In practice it looks like this, when creating a return label, the normal stock is printed on the label for the time being. On the way to the destination, a parcel is scanned several times in DHL logistics. This is exactly where the interfaces are where you can distribute real-time data from Amazon's logistics centers. If traffic jams are detected somewhere or timely processing is not possible, DHL logistics re-sorts the parcels and distributes the returns to new warehouses that are less busy. The packages automatically get a new label. This type of technology is not new, but it is not yet used in logistics. We know all this from the daily traffic of all cars, the navigation device wants to redirect the driver to save time and energy. Ultimately, you arrive at your destination more rested. 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 air traffic sweat. Here, the air traffic controller must manually issue instructions to the pilots that a few more loops have to be turned. Last but not least, to capture it again visually, that Schöne Parkhaus signals to the driver that there is still something available or not. Many sensors and scanners can work wonders today when it comes to processing a column of processes quickly and efficiently.