Slide 1

Oyster CDP's

Recommender Engine

Our Recommendations Engine Software works both on Content-Based Filtering & Collaborative Filtering. This allows you to recommend products based on the same category, the same price, similarly bought products & demographic-based recommendations

Product Based Recommendations

Oyster recommends products by looking for the same category products, then filtering them based on the price range, past browsing history of users and rating of the products

User-Based Recommendations

Recommendations based on the similarity between two users. It works by looking at the user’s browsing history, Purchase History, Demographics & Profile.

Backed By Advanced NLP Algorithms

Advanced Natural Language Processing is used to recommend products by using keywords to describe the Items and then building user profiles to indicate the type of Items the user likes.