How does Amazon use big data? How is it specifically reflected?

The reason why Amazon is so powerful is that the big data behind it can provide strong support to sellers. However, sellers have not learned about the application of big data, so they cannot maintain the performance of their stores well. So how does Amazon use big data?

1. Application of Amazon Big Data

1. Flexible use of technology, through a variety of tools to expand its application in the cloud, such as data storage, collection, processing, sharing and cooperation. Flexible programs are built on top of the framework, and the two complement each other well, helping retailers to efficiently manage and use the analytical platform.

2. Personalized recommendations, which provide suggestions to users and gain 10% to 30% additional profits. With two million sellers, it uses its advanced data to provide recommendations to users. It is undoubtedly a pioneer in mining and providing personalized services, which induces users to buy by providing a well-planned shopping experience.

Second, where is it specifically reflected?

The personalized recommendation algorithm includes many factors. Before recommending products to users, it needs to analyze purchase history, browsing history, influence of friends, trends of specific products, advertisements of popular products on social media, purchases of users with similar purchase history, etc. In order to provide better services to users, Ya has been constantly improving the recommendation algorithm.

Of course, recommendations are not only for customers, sellers in the market can also receive reliable suggestions from the platform.

The following are the eight key points of sub-selection summarized by foreigners:

Strong demand: Customers need this product, so basically it can be sold as long as there is demand.

Low seasonality: It is best not to be affected by the season, otherwise, you will have to take a break for half a year before you can sell something throughout the year.

Low competition: This means don’t look for products that too many people are selling. Everyone knows this.

Price range: The price range is between 18 and 50 US dollars, but for Chinese people, $8 to $30 is enough. Of course, it would be better if you can find it.

Lightweight: This involves the issue of delivery and logistics costs, so of course the smaller the better.

No legal issues: This means no infringement, no disputes, and fewer complaints.

Room for improvement: For products, we hope to sell as many as possible.

Good profit: However, many people initially place orders and send products in exchange for reviews. For this, they will lose money in the early stage but make a lot of money in the later stage!

You can refer to this rule and then choose products according to it to achieve good sales.

The application of Amazon's big data mainly lies in technology and personalized recommendations, which provides users with a lot of convenience and allows merchants to have new discoveries in product selection. It can efficiently use the platform's data for analysis and then find out the products that users like, thus increasing the chances of closing a deal.