A artificial intelligence (AI) is revolutionizing the merchandise inspection process at Amazon. Now the company can identify and prevent the shipment of damaged products thanks to the implementation of advanced AI technologies.
The challenge of identifying damaged goods
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During the packing and sorting process, Amazon employees face the challenge of identifying damaged products. This task is especially complicated, since the incidence of defective items is relatively low.
Jeremy Wyatt, Director of Applied Science at Amazon Robotics, clarifies that less than one in every 1,000 products is damaged. This makes the team less used to dealing with these cases.
Investment in cutting-edge technology
A amazon is strongly committed to investing in state-of-the-art technology to improve its operations. The company incorporated robots capable of carrying out repetitive and heavy tasks, such as lifting objects and reading bar codes.
However, Amazon understands that collaboration between humans and robots is essential. While technology plays a key role in automating the process, it does not completely replace employees.
The precision of artificial intelligence
The artificial intelligence implemented by Amazon has demonstrated high accuracy in detecting damaged products. Christoph Schwerdtfeger, the company's software development manager, reveals that the AI is three times more efficient than a human collaborator in identifying defective items.
This accuracy brings significant benefits to the quality of deliveries to customers. By detecting damaged products early, Amazon can prevent these items from being shipped, ensuring a satisfying shopping experience and reducing the number of returns.
Expanding the use of technology
Initially implemented in two warehouses, Amazon's artificial intelligence technology is being progressively extended to other locations. The company seeks to constantly improve its processes and provide an increasingly better shopping experience.
In addition to the benefits in the quality of deliveries, the adoption of AI contributes to Amazon's operational efficiency, reducing costs and working time.
