Posted by & filed under AI/Artificial Intelligence.

AI plays a huge role in Amazon’s recommendation engine, which generates 35% of the company’s revenue. Using data from individual customer preferences and purchases, browsing history and items that are related and regularly bought together, Amazon can create a personalized list of products that customers actually want to buy.

Data from these three main pillars of the company work together to create a cohesive customer experience. A customer can visit the Amazon Go store to get a few items for dinner, ask Alexa to look up a recipe and the product recommendation engine can determine that the customer likely needs to purchase a certain type of sauce pan. Instead of fighting against each other, different divisions share their innovative knowledge to provide a customized and cohesive customer experience.

Source: Forbes

Date: November 2nd, 2022

Link: https://www.forbes.com/sites/blakemorgan/2018/07/16/how-amazon-has-re-organized-around-artificial-intelligence-and-machine-learning/?sh=7d5c6d977361

Discussion

  1. “Using data from individual customer preferences and purchases, browsing history and items that are related and regularly bought together, Amazon can create a personalized list of products that customers actually want to buy.”
    What other companies could use AI in this way (Netflix is a good example)
  2. The article is titled “How Amazon Has Organized Around Artificial Intelligence And Machine Learning“. Machine Learning is just a part of AI, and one way to get AI to work. Make sure students understand this. Machine learning is basically where you feed the AI a whole bunch of data that you already know the output or answer to, and you let the AI work with the data to come up with an answer, and then tell it whether it got it correct or not. This lets the AI “learn” so it will get to the correct outcome on its own.

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