Decisioning engine applies machine learning techniques to recommend right offers and products to each customer based on her historical usage behavior and contextual needs. It can also optimize recommendations as per the business objective of enterprises.
Standard connectors to readily access variety of data - enterprise, third party and open data - remotely from CRM systems and data lakes to analyze and predict customer affinity for products and offers.
Pre-built output connectors to feed offer/product recommendations directly to popular marketing systems or to any external database, in the desired format.
Dashboard to view product recommendations trends over a period of time including top products recommended. It also displays insights used by system for making each product recommendation.