Project PI involves finding defective or damaged products while they are processed in Amazon's image tunnels, thereby reducing returns and improving shipping accuracy.

Amazon is one of the large technology companies that has opted for artificial intelligence (AI) to improve the online shopping experience. Some of its advances are the Amazon Q assistant focused on decision making and problem solving, the Theia Project to discover devices that could be useful or the use of this technology to detect fake reviews.

However, with the aim of improving its services to customers, Amazon launches Project PI, which combines generative artificial intelligence and computer vision, to 'see' damage to products or find out if they are the wrong color or size before shipping. Send the article to users.

This innovation basically consists of finding defective or damaged products while they are processed in the imaging tunnels, where the objects are scanned and evaluated. Additionally, it is important to mention that ecommerce workers review damaged items and then determine if they can be sold at a discount on Amazon's Second Chance platform. But without a doubt, Project PI's main goals are to reduce returns, create a more sustainable shipping system, and improve shipping accuracy.

In a press release shared by the newspaper Fast Company, Kara Hurst, vice president of Global Sustainability at Amazon, states that this e-commerce "is using AI to achieve sustainability commitments with the urgency that climate change demands, while improving customer experience."

Adding that "AI is helping Amazon ensure that we are not only delighting customers with high-quality items, but we are also extending that customer obsession to our sustainability work by preventing less than perfect items from leaving our facilities and helping us avoid unnecessary expenses.

Amazon will know why customers are dissatisfied with an order

Amazon is also working to incorporate a multimodal large language model to understand why customers are dissatisfied with the items they receive.

This AI-powered tool reviews what users say in their comments and scans Project PI images plus other data sources to try to figure out what went wrong. Additionally, this technology could prove useful to sellers who accidentally mislabeled their products.

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