What would you buy when you don’t exactly know what you need for the moment? To solve this dilemma over what exactly you want, Amazon has brought to its users an automated shopping site that gives a self-generated recommendation to help confused shoppers buy things they themselves don’t know are needed. Amazon has named it “Scout”.
The automated generation based on machine learning makes Scout special. If you have liked and disliked two products which are similar in purpose, say a hanging light, but different in shape, based on your liking the other suggestions would be – a light of the similar type (shape) you have earlier chosen.
By using Amazon Scout, users can now narrow their complaints of buying from a storehouse of a huge range of products but very confusing given the space in which the organized products are available. Amazon is ahead of other e-retailers like Stitch Fix and Bonobos. But the latter two uses social networking as a tool to increase sales, harping on better personalizations which were lacking in Amazon’s marketability agenda, which can be better solved by this machine-generated automation of the Scout for now.
Their services are in the following fields – furniture, kitchen and dining appliances, clothing, bedding, decors and so on. They use beautiful, aesthetically pleasing images to attract customers and provide them a real like shopping experience as a preview.
This is a new way to shop, allowing customers to browse millions of items and quickly refine the selection based solely on visual attributes. – Spokeperson
Scout has not been fully introduced by Amazon, but some shoppers may find the service in the form of a grey box named “SCOUT | Style explorer,” that launches the Scout site of Amazon or in the webpage the function is found in the form of link on the bar at the top that mentions w “Shop by Room” / “Shop by Style.”Now once you enter the site, you can start liking or disliking after the instruction mentioned in a blue box-“Start liking now”
Just like Alexa that can also shop by Voice Commands and help to find discounts and other personalized and preferential products, this will also help the users to shop on recommendations and prior habits, making the experience easier. This will eliminate the need to use words to describe products when users are in a section that is full of visual subsections. The recommendations can also store ratings, reviews, price, and prime eligibility and filters may run in this way.
Amazon has briefed CNBC on how only visual attributes can help the customers choose from a wide range of products based on their likings-using thumbs up and down like in Facebook. The site shall thus keep on adding and negating preferences on the go making a personalized shopping environment for the users. This will help solve the dilemma -“ I don’t know what I want, but I’ll know it when I see it” and “I know what I want, but I don’t know what it’s called. More information shall be accessible in ” www.amazon.com/scout and picture feed should be enough now to help customers choose what is pleasing to the eyes. This is being developed both for the web and App version of Amazon and is surely going to be the game changer for the e-retailer giants.