Machine Learning Powered Product Recommendation Engine

The Problem

A typical online shopper sees thousands of e-commerce product recommendations in a week via multiple channels. It is important that organizations be able to recommend products based on customer taste and needs, that support and influence decision-making and outcomes. How can advanced recommender systems help organizations grow?

Solution

Machine learning models deployed on Kranium can be used to make product recommendations that can improve revenue and engagement. Such models can analyse data related to consumer’s rating of products, shopping/browsing history, purchase habits, purchase patterns and more and use the understanding to make recommendations. These models can continue to learn from new data and experiences and improve recommendations.