Challenge

Customer experience enhancement and personalization is based on data. There is a need to filter, prioritize, and deliver relevant information and product selection. Recommendation engines can improve a customer engagement and purchase decision-making process. To reap these benefits a company needs to have a good understanding of their data or the most efficient way to use it.

AI Approach

An efficient recommendation engine enables organizations to maximize ROI based on the information gathered on their customer preferences and purchases. AI and Machine Learning-powered recommendation systems allow to of continuously update and calibrate user preferences. There are various types of recommendation systems, delivering specific advantages to organizations in all industries .