How does AI contribute to personalized recommendations on online shopping platforms?

How does AI contribute to personalized recommendations on online shopping platforms?

  1. By analyzing user search history and purchase patterns to suggest relevant items. ✓
  2. By manually adding product recommendations based on popularity.
  3. By requiring users to explicitly state their preferences.
  4. By randomly displaying products from different categories.

Explanation

AI studies what you search for and buy to understand your preferences. It recognizes patterns in your behavior to predict what you might like. These personalized suggestions help you discover relevant products.

Manual recommendations can’t handle millions of users efficiently. Requiring explicit preferences is tedious for customers. Random suggestions waste everyone’s time.

AI recommendations improve shopping by showing you items you actually want. This makes online shopping faster and more enjoyable.