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.
Recommend delivers contextually relevant recommendations based on a variety of inputs including a shopper’s past purchases, browsing history, and the shopping patterns of your online customer base.
BEHAVIORAL DECISIONING: Our patented technology identifies which of our 125+ pre-built recommendation algorithms is most impactful for each customer interaction.
BUILD YOUR OWN RECOMMENDATIONS: Leverage your customer expertise to build algorithms with exact blend of data or strategies that perform best for your unique goals.
CUSTOMER PREFERENCE CENTER: Empower your customers to specify their category, brand, and product preferences and use that data to tailor their experiences.
ADVANCED MERCHANDISING: Build ensemble recommendations to cross-sell and upsell by leveraging product attribute and compatibility data.
DASHBOARD REPORTS: Gauge effectiveness and performance 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.
Curate 1-1 shopping experiences with relevant recommendations, recommendations that drive lift, click thru and enhance your customer experience.
Recommend is 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.
RichRelevance is the global leader in omnichannel personalization and is used by more than 200 multinational companies to deliver the most relevant and innovative customer experiences across web, mobile and in store.