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Amazon Implements AI to Identify Damaged Goods
Amazon has begun exploring options to automate their fulfillment process as they have had difficulty finding reliable workers and are looking for ways to have Artificial Intelligence take over some of the heavy lifting done in their warehouses and increase productivity. Over the last few months, Amazon has started to utilize AI to identify damaged products before orders are shipped to customers.
This type of Artificial Intelligence was programmed by comparing photos of damaged products to photos of undamaged products enabling it to identify and flag imperfections. The items are sent through an imaging station where they are screened to ensure the correct item is being shipped and to check for damages. If damage is detected, the product will move to a bin where a physical worker will investigate it more and decide how to proceed. This technology has proved to be three times as productive at identifying damages as an Amazon worker. Currently, Amazon has implemented this AI in two warehouses and is aiming expand it to 10 more sites across the world.
So far, using AI has proved successful for Amazon. It won’t be long until other large companies follow in Amazon’s footsteps. It will be fascinating to see other ways AI is integrated into the supply chain world in the future.
Contributor: JoDee Lupaccino
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