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by Pleuni.
In twelve warehouses, Amazon is using artificial intelligence to screen items for damage before they are shipped. This will reduce damaged items being sent out and speed up picking and packing.
As part of the order-picking process, warehouse workers check items for signs of wear and tear. Due to the fact that most items are in good condition, it can take a while to check for damage, according to Amazon Robotics’ director of applied science, Jeremy Wyatt. “That’s cognitively demanding because you’re looking for something rare and it isn’t your primary responsibility.”
The number of damaged items per 1,000 is less than one in a thousand
In its warehouses, the company has recently automated its warehouses as it struggles to find workers. The total number of damaged packages is significant, as the company handles about 8 billion packages a year. Robots have recently been added to its warehouses in the United States as it struggles to find workers.
In the US and Europe, Amazon is rolling out the system in 12 locations.
In North America and Europe, Amazon is now rolling out the AI system in 10 other fulfillment centers. The AI, according to Amazon, is three times more effective than a warehouse worker at identifying damage.
Picking involves checking items
During the picking and packing process, the AI is taught the difference between undamaged and damaged items. By doing so, it can flag items that aren’t perfect.
An item that is broken is taken to a worker for inspection.
Each order is picked up and sorted into bins. Once the bins have passed through the imaging station, they will be checked to see if the right products have been chosen. Now, they will also be inspected for damage. A worker will pick up the bin if something is broken.
