RecommendTM is a powerful product recommendations engine that utilizes AI and machine-learning to choose the most relevant product recommendations to inspire every customer interaction. RichRelevance customers enjoy significant improvements in engagement, conversion rate and revenue.
UNIQUE TO RICHRELEVANCE
BEHAVIORAL DECISIONING
Our patented technology identifies which of our 125+ pre-built recommendation algorithms is most impactful for every customer interaction.
BUILD YOUR OWN RECOMMENDATIONS
Leverage your own expertise to build your own algorithms with the exact blend of data or strategies that drive the best results.
CUSTOMER PREFERENCE CENTER
Empower your customers to specify their category, brand, and product preferences and utilize that data to tailor their personal experiences.
ADVANCED MERCHANDISING
Leverage product attributes and compatibility data to build ensemble recommendations to cross-sell and upsell.
DASHBOARD REPORTS
Evaluate the effectiveness for each product and its respective category relationship with multi-KPI based reporting.
MERCHANDISING RULES
Designed with retail and brand merchandisers in-mind, our rule engine offers a fine balance between auto-optimization and manual merchandising.
Powerful Personalization
Recommend™ is a powerful product recommendations engine equipped with a set of optimization tools and configurations for the most advanced of merchandisers. Recommend™ utilizes the power of ensemble learning with 125+ algorithms that learn and respond in real-time to individual customer behaviors, affinities and activity, resulting in highly personalized product recommendations for enterprise retailers and brands.
RELEVANCE IN ACTION
The Book People Case Study
Find out how Book People used the RichRelevance product recommendations engine to create highly innovative, engaging and personalized experiences for their customers while also leading to improved engagement and conversion rates.
Additional Resources
How to Get Shoppers to Log In
WEBINAR
Learn tips on how to get your shoppers to log in by demonstrating the value of a more individualized experience.
5 Types of User Matching Challenges
WHITE PAPER
This paper shares how you can leverage user ID matching and RichRelevance features to identify users and motivate shoppers to log in.
Homebase Utilize More Data
CASE STUDY
Homebase works with RichRelevance to optimize their website experience and guide customer conversion.