Our patented technology identifies which of our 125+ pre-built recommendation algorithms is most impactful for each customer interaction.
Leverage your customer expertise to build algorithms with exact blend of data or strategies that perform best for your unique goals.
Empower your customers to specify their category, brand, and product preferences and use that data to tailor their experiences.
Build ensemble recommendations to cross-sell and upsell by leveraging product attribute and compatibility data.
Gauge effectiveness and performance for each product and its respective category relationship with multi-KPI based reporting.
Designed with retail and brand merchandisers in-mind, our rule engine offers a fine balance between auto-optimization and manual merchandising.
Recommend™ is a powerful product recommendations engine equipped with the most merchandiser ready set of optimization tools and configurations in the market. Recommend™ combines 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.