Amazon AI recommendation engine revolution: the era of a thousand faces is coming, sellers must know the transformation strategy!
You would never have guessed that Amazon's e-commerce platform is quietly entering the era of "thousands of people, thousands of faces"! Recently, the hottest topic in the Amazon seller community is whether the A9 algorithm will be replaced by a new generation of AI recommendation engine. This news is not a surprise to sellers who have participated in the latest course, because the professional lecturer's 4.0 method has long been foreseen and coincided with the official AI push flow rules.
Currently, there are two major traffic distribution mechanisms on the Amazon platform: the traditional A9 search engine and the new AI recommendation engine. More surprisingly, this recommendation system based on machine learning has contributed more than 35% revenue for Amazon! It analyzes the user's shopping history, browsing behavior and reviews to accurately predict user interests and recommend relevant products.
Here's the kicker, Amazon has announced two AI recommendation models that will completely change the game:
- The new AI intelligence algorithm COSMO: mining common sense knowledge from user behavior data to construct knowledge graphs, has been successfully deployed for search relevance, user session-based recommendations and search navigation. Experiments have shown that this algorithm can increase conversion rate by 0.7%, which can generate $4.9 billion in additional sales annually.
- The new version of the AI search engine Rufus: similar to the shopping guide function, buyers can directly talk to the AI to get more accurate product recommendations. For cross-border e-commerce sellers, this means that the content layout becomes extremely important, and more buyer-oriented product content needs to be prepared.
In the face of this algorithm revolution, new cross-border sellers must pay close attention to the changes in Amazon's algorithm and adjust their business strategies in time. Differentiated products will receive more referral traffic, while homogenized products will become more difficult to promote. In the future, the keyword ranking mechanism may change, the traditional keyword research work will shift to the study of crowd demand, through the satisfaction of the needs of a particular group of people to realize the strong correlation between products and demand.
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# Amazon Algorithm # Cross-border E-commerce #AI Recommendation Engine #COSMO Algorithm #Rufus # Thousands of People # Cross-border Overseas # Amazon Seller # E-commerce Entrepreneurship
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