Deploying a Recommender System
Data science algorithms have risen to new levels wherein a retailer spends billions of dollars per year to recommend products based on their browsing and past order history. Recommender systems based off of data science algorithms can recommend products based on customer profiles, ratings, reviews, faceted-search, basic search results and associated products. Results have shown eCommerce revenue has gone up exponentially when an intelligent recommender system deployed by eComchain is used to sift through a plethora of data.
