Imagine if every recommendation you presented matched your customers’ taste, as if curated by a personal shopper or stylist. RichRelevance Recommend™ collects all your data and uses a powerful machine-learning engine to select the most relevant, data-driven product recommendations for each customer interaction, across all touchpoints—web, mobile, email, in-store and call center.
Our machine learning engine constantly tests and evaluates recommendation performance to identify and deliver the most effective algorithm for each customer interaction based on your specific business KPIs.
Once King-of-the-Hill Decisioning determines the most effective algorithm for your recommendation, the King-of-the-Hill Optimizer uses Gaussian Process Regression (aka Kriging) to fine-tune weights and parameters that optimize the selected algorithm for the greatest customer interaction and potential revenue.
Empower your data scientists to define new strategies and test them against 125+ of our road-tested strategies. After all, you know your data and your customers the best.
Send customer and product data from any cloud, app or device. We'll manage all of your data in one place and deliver personalized product recommendations wherever you want. Learn more.
Give your customers the power to specify their preferences and use that data to tailor their individual recommendations.
Build ensemble recommendations by leveraging product attribute and compatibility data from trusted third party sources such as CNET DataSource™.
Deliver recommendations optimized for limited screen sizes to drive maximum conversion for your mobile experience.
Graph a single view of your customer across sessions, devices and channels by storing customer data on our cloud without relying on cookies to deliver unified recommendations.
Download the one-sheet here.
Access all your catalog data and fine-tune your recommendation strategies and site placements
Assess the status and impact of your recommendations within minutes
Test and optimize each placement using our A/B or multivariate testing capabilities Learn more
Integrate recommendations into any application using our APIs