Amazon’s Scout Experiment Offers Tailored Product Recommendation Based on ‘Like’ and ‘Dislike’

Amazon’s Scout Experiment Offers Tailored Product Recommendation Based on ‘Like’ and ‘Dislike’

Personalization is a key growth aspects of any e-commerce site. According to a report from CNBC, Amazon is testing an AI driven shopping site ‘Scout’ that allows the users to figure out what they want to buy through instant recommendations. A simple concept incorporated in Scout is the voting mechanism that recommends products based on customers’ likes.

Most of the online sites recommends products solely based on what shoppers have seen or bought before which can be overwhelming to decide what to buy. A new Amazon service, Scout, eliminates this indecisiveness and filters recommendations based on what the users like and dislike. For instance, if you give a thumbs-up to circular table with brown wooden top and thumbs-down to rectangular table, you’ll be shown more tables with a shape similar to the one you chose and fewer of the latter.

Scout site currently covers a handful of categories in Amazon including décor, home furniture, bedding, lighting, kitchen and dining products, and women’s shoes. Amazon is promising to add more categories in the future for clothing, handbags, plush toys and other products. Scout offers easy way to browse Amazon products almost alike to Pinterest that refines recommendation through user input.

Although Amazon.com has an array of all the possible products, it becomes difficult for shoppers to find items with vague idea of what they like. An Amazon spokesperson said that Scout focusses on solving two dilemmas of shoppers and allows them to browse through millions of items and immediately filter the selection completely based on visual attributes. According to the CNBC report, “Scout is aiming to free people from the need for using words to describe the items they are looking for when browsing in highly visual categories.”

Instructions on site simple features, “Welcome to SCOUT. ‘Like’ or ‘Dislike’ for instant recommendations. Although Scout hadn’t be publicly announced by the Amazon, some Amazon shopper would see a link to ‘Scout Style Explorer’ while browsing specific products which will take them to the new tool powered by machine-learning, said CNBC.

Scout isn’t Amazon’s first approach to solve discoverability problems or add better personalization to product hunting. ‘Interesting Finds’ was launched by Amazon earlier to refine selection of products under various top-level categories. It then create a personalized group of suggestions called “My Mix” that contains items you like in the visual storefront. Further, Amazon provides retailers like Stitch Fix and Bonobos for more personalized experience whose share were reported to have dropped after the Scout testing.

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Rohit Bhisey

Rohit Bhisey

Holding a vast experience in a number of fields associated with market research and Internet marketing, Rohit strives to gain a better understanding of global as well as regional trends in a number of industries and analyzing their impact on a plethora of markets at several levels. His scrupulous attention to details and high understanding of how socio-economic factors impact how markets develop can be seen in his analytical write-ups presented on Fact.MR.

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