Called Scout, the machine-learning visual tool makes recommendations for items based on users' ranked preferences, taking advantage of consumers' digital window shopping to drive sales

Consumers admittedly love shopping on Amazon, whether for necessary items or just to browse. With that in mind, the retailer is working on a new shopping site called Scout, which works by asking users to rank products and then makes recommendations based on those preferences.

Due to the site’s massive size, Amazon shopping can feel somewhat impersonal. The new tool works by using machine learning to offer consumers personally-tailored suggestions, cutting down on irrelevant options. According to an Amazon spokesperson, “This is a new way to shop, allowing customers to browse millions of items and quickly refine the selection based solely on virtual attributes.”

Amazon’s aim for the feature is to enable seamless digital window shopping, with the sales-driving benefit of showing consumers items they are most likely to be interest in. While the service is still in testing, users may notice the scout tag while searching for various items.

Amazon

Consumers admittedly love shopping on Amazon, whether for necessary items or just to browse. With that in mind, the retailer is working on a new shopping site called Scout, which works by asking users to rank products and then makes recommendations based on those preferences.

Due to the site’s massive size, Amazon shopping can feel somewhat impersonal. The new tool works by using machine learning to offer consumers personally-tailored suggestions, cutting down on irrelevant options. According to an Amazon spokesperson, “This is a new way to shop, allowing customers to browse millions of items and quickly refine the selection based solely on virtual attributes.”