Customers rarely discover everything that might interest them on their own. A recommendation system does it for them - surfacing the right products at the right moment, which lifts both cart value and conversion. It is one of the most effective applications of AI in e-commerce.
Table of contents
- 01 What is a recommendation system?
- 02 What are the benefits of implementing a recommendation system?
- 03 Summary
AI recommendations work especially well for:
- Presenting similar products of higher value, such as premium items that earn 2x loyalty program points.
- Recommending complementary products that help the customer reach free delivery. This strategy encourages customers to make a larger purchase in order to avoid delivery costs.
01 What is a recommendation system?
A recommendation system is a technology used - especially in e-commerce and digital media - to personalize user experiences by presenting the most relevant suggestions for products, services, content or information. It works by analyzing user data such as past behavior, purchases, searches and even on-site interactions in order to understand each person's preferences and needs. Based on that analysis, the recommendation system then presents users with suggestions they are most likely to find interesting.
A recommendation system on an e-commerce site can suggest products based on a user's previous purchases. A streaming platform can recommend movies or series based on the titles a user has rated. In this way, recommendation systems can increase engagement, satisfaction and customer loyalty, while also driving sales growth.
02 What are the benefits of implementing a recommendation system?
These recommendations are powered by AI algorithms that analyze purchase history and customer preferences to suggest products they may find interesting. This strategy makes it possible to present customers with personalized recommendations, which can increase their engagement and their likelihood of making a purchase.
AI-based recommendations can also be used to present product bundles that include an item already in the customer's cart. This strategy increases cart value by adding extra products that the customer may find interesting and complementary.
Implementing a recommendation system enables:
- growth in purchase conversion
- growth in cart value
- growth in loyalty program sign-up conversion
03 Summary
A recommendation system is one of the simplest and most effective applications of AI in e-commerce - well-matched suggestions make shopping easier for the customer while raising cart value at the same time. Use it to present similar products, complementary products and bundles that complete what the customer already has in their cart. The more your recommendations are grounded in real user behavior, the higher your conversion.