The internet has transformed the way we shop, with a vast selection of products available for purchase online. However, this convenience comes at a cost, with consumers having to sort through countless options, making it an overwhelming and tiring task.
On the other hand, the challenge for online stores is how to sell more goods at a higher price and faster than their competitors. One solution is to use a recommendation system that utilizes artificial intelligence (AI) to provide personalized recommendations to users. Such a system uses machine learning algorithms that analyze user data, such as search history, purchase behavior, and preferences, to predict what products a user is likely interested in.
For consumers, the benefits of personalized product recommendations are obvious. They save time and effort by offering tailored suggestions more likely to match consumers’ interests and preferences. They also help online sellers boost revenue and profit by giving their customers personalized recommendations encouraging them to purchase more products. Besides, they help build customer loyalty and trust by improving the overall shopping experience for consumers.
To read more – https://www.leewayhertz.com/build-recommendation-system/
Matthew Haws 