Who doesn’t know about the grand success of Amazon? Well, we all do. Founded in 1994 as a random book-selling site in Washington, today Amazon has become the largest online retailer in the world due to its extraordinarily huge customer base and brilliant service efficiency.
As of 2020, Amazon’s overall sales made up for most of the company’s net revenue, in addition to its third-party selling services like Amazon Web and subscription services, etc. Surprisingly, today, Amazon relies on numerous high-end AI patterns to improve its overall e-commerce operations such as warehousing, logistics, and more.
According to the Founder and Executive Chairman of Amazon, Jeff Bezos, the company executes tons of other AI trends as well that are generally hidden from the public. For example, Amazon relies on AI and Machine Learning to produce better search results, personalized product recommendations, and improved forecasting for inventory management, etc.
Now, before we get into more details, let’s take a look at Amazon’s top AI applications in various e-commerce areas for 2022.
AI-Enabled Voice Shopping (Alexa)
According to Amazon researchers, the high-processing digital voice assistant, Alexa, allows the users to find and purchase products without clicking on the screen. It not only helps the buyers to enjoy quicker shopping but also provides them with a hands-free checkout experience at all times.
The main motive of this AI-Powered voice shopping is to increase the overall convenience, and flexibility of Amazon customers. So, whether you want to create a customized shopping list for yourself or receive product recommendations from Amazon, Alexa can help you with everything.
So far, the investment in voice-enabled services has turned out to be pretty beneficial for Amazon. It has helped the company to enjoy an even more stable position in the industry by providing more ease for consumers.
Amazon states that buyers can easily access the voice shopping feature via Alexa-enabled devices, like Amazon Echo, Fire TV Cube, Echo Dot, etc. According to Amazon researchers, one of the best ways the Alexa team uses neural networks is by implementing a “voice-only model”. It works by identifying and sorting the utterances based on two factors – intent and slot. Intent refers to the action the consumer asks Alexa to carry out, and the slot provides more data to the model about intent.
For instance, if a consumer asked an Alexa-enabled gadget to play Titanic, the intent would be considered as “play” relating to a movie. Whereas on the other hand, the slot value would consider “Titanic” as the movie title they want the Alexa-enabled gadget to play.
The Machine Learning’s mechanism behind Amazon’s voice service is pretty similar – the buyer can easily activate Alexa and list the shopping items they would like to search for, and add them to their shopping list. Once the items are added to their shopping list via the Alexa voice feature, the buyers can access a text version of their shopping list through the Alexa app and alter it if needed.
Personalized Product Recommendations
Interestingly, Amazon offers a wide range of personalized product recommendations to its customers as per their liking, specifications, and interest. It serves as an effective marketing strategy that helps the company to win a more prominent market share in the industry. Not only that, but the personalized recommendations also provide an exclusive, item-to-item collaborative filtration to the customers.
According to a survey conducted by recommendation algorithm researchers, its AI tech works by matching the buyer’s previous purchases to similar products. After the comparison, the AI algorithms compile these similar goods into a recommendation list for different users. Basically, the whole idea is to come up with recommendations as close as possible to the customer’s liking so that they can view their desired products more easily.
However, one thing is for sure – you cannot view Amazon’s personalized product recommendations without having stable internet connectivity at home. After all, Amazon is an online shopping platform that needs high-coverage internet signals to work. So, just make sure that you connect to a high-speed internet connection like Grande Internet before accessing the website. It will provide you with faster loading times, and prompt product recommendations.
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StyleSnap – AI-Powered Fashion Discovery
StyleSnap is another popular Amazon AI-powered feature that mainly facilitates fashion-focused shoppers.
It allows the users to take photographs, or screenshots of their liked products and upload them on the app. Once they are done, StyleSnap matches the photo with its huge database and provides the users with similar product recommendations on Amazon. It helps the users to find out more products on the website as per their liking. Besides this, the app also considers various other factors like product brand, price range, customer reviews, etc. to generate customized results.
The Bottom-Line
Undoubtedly, AI is helping Amazon to grow, and expand even more with its high-end tech trends. It is not only improving the brand position in the market, but also increases the overall sales, brand competitiveness, and customer loyalty in numerous ways. Therefore, we can surely expect Amazon to come up with even more advanced, and modern AI trends in the upcoming years.
Although Amazon features a wide range of other AI-Powered trends as well, still, in this article, we have mentioned our top picks only. However, if you wish to know more about other AI executions in Amazon, then don’t forget to visit your favorite tech-related websites, blogs, and articles on the internet.
Also, please remember that Amazon is an online shopping platform – therefore, you cannot access it without having stable internet connectivity at home. So, please ensure that you are connected to a high-speed internet connection like Grande before you get your hands on the shopping app. It would allow you to enjoy a smooth, and lag-free shopping experience.
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