Intelligent Recommendations
AI-powered recommendations for personal shopping experiences
Our AI-powered intelligent recommendations engine provides intent and behavior-based product recommendations. These buyer-specific, tailored recommendations enhance the customer experience, shopper engagement, and increase sales conversions and average order value.
RETISIO Intelligent Recommendations
Keep shoppers engaged
Delight customers with highly relevant product recommendations tailored to every shopper based on a deep, AI/ML-driven learning and understanding of specific shopping behaviors and contexts. Powered by RETISIO Dartmouth.
Deliver fast, relevant recommendations
Our Intelligent Recommendations engine provides a variety of product recommendations for different sections of the eCommerce site and at different stages of the shopper's journey.
Enjoy shopper intelligence powered by AI/ML
Our intelligent AI/ML algorithms, also known as RETISIO Dartmouth, give powerful recommendations based on shopper behavior patterns for browsing, wish-list, brand affinity, purchase, etc. Dartmouth continuously learns from your data to find the latest behavior trends and serves the most relevant, most timely recommendations.
Make better cross-sell and upsell recommendations
Our Intelligent Recommendations engine provides tools for the business user to effectively manage and configure boosted products in various recommendation sections to accommodate diverse business needs.
What is Intelligent Recommendations? Read the solution sheet
Recommendations Superpowers
Inspire shoppers to buy more!
RETISIO Intelligent Recommendations powered by AI/ML helps you recommend to customers the products they are likely to buy.
Increase cross-sell and upsell
Our intelligent recommendations show shoppers similar and superior products as well as complementary products.
Deliver behavior-based recommendations
Provide intent-based recommendations based on collaborative filtering and customer behavior data.
Make it personal
Deliver hyper-personalized recommendations based on the shoppers browsing and buying behaviors.
Make specific recommendations
Related products recommendations display the products that are similar in various attributes.
Increase average order value
With frequently bought together recommendations, bundle products intelligently to increase average order value.
Make recommendations based on real-time trends
Show recommendations based on real-time trends derived from to the minute customer browsing and sales conversion data.