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A Comprehensive Guide to Recommendation Engines
Estimated to be valued at $6.54 trillion by the end of this year, the global e-commerce market has witnessed tremendous strides in the last couple of years. With businesses adopting different strategies to grab the customer’s attention, one of the most important traits that help gain customers and guarantee a continuous revenue flow is product recommendation.
Recommendation engines are a brilliant way to offer customers an enhanced user experience. Employing technologies such as artificial intelligence (AI) and machine learning (ML), product recommendation systems help customers select the products they want quickly and effortlessly.
In this article, you’ll learn everything you need to know about product recommendation engines, starting with what it is.
What is a Recommendation Engine?
A recommendation engine refers to the data filtering tool that recommends the most relevant items to a particular user or customer. It operates through AI and machine learning algorithms to find patterns in consumer behavior data so that a more personalized customer experience can be delivered to boost customer engagement and retention.
