Recommendation Systems with Reasoning

Recommendation systems utilize big data and AI to suggest additional information or products to customers based on past purchase history, search history or their demographic information. They help retain customers by providing suggestions specific to their needs to increase sales and create brand loyalty. When customers feel they are understood, they are more likely to stay and continue with the business. We work with businesses, to understand their needs for recommendation systems and choose the right type for them. For instance there are several types of recommendation systems such as collaborative filtering, content-based filtering, demographics based filtering, knowledge-based filtering and hybrid filtering that combines two or more different types to create a more holistic recommendation system for the business.