When we talk about recommendation systems, we refer to algorithms capable of understanding what we might like.
Take, for example, the most well-known online streaming platforms for movies and series. You’ll notice that when you select a movie, a percentage of preference appears next to it. This percentage is provided through a recommendation system and indicates, based on processed data, how much you might enjoy that movie.
These systems can accurately suggest which movies you might like based on what you’ve already watched or what other users similar to you have viewed.
The cart abandonment rate exceeds 50%, including those who leave the site during the product search phase and those who abandon the navigation during checkout.
While online shopping is growing rapidly, it is equally true that the conversion rate — the percentage of users who ultimately purchase a product after visiting your e-commerce site — is relatively low, around 1.6%.
Organizing and personalizing content based on your users is essential. All of this can be achieved through artificial intelligence, particularly with recommendation systems.
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