Five Ways RESUL Recommends the Right Product
AI-Driven Product Discovery
Tailor product discovery to every individual. RESUL automates relevant recommendations like "frequently bought together," "popular now," and next-best category based on segmentation, behavior, and AI-derived attributes.
Discover AI Recommendations →Seamless Brand Catalog Integration
Keep the recommendation logic you already trust. RESUL accommodates rule-based models through API integration and incorporates existing product catalogs into campaign communications without rebuilding logic.
Discover Integrations →Lookalike Targeting at Scale
Reach more customers likely to convert. RESUL examines your database to create audiences similar to target segments, expanding reach toward customers who resemble your best converters.
Discover Lookalikes →Channel and Time Propensity Matching
Recommend through the channel and moment most likely to convert. RESUL aligns product recommendations with each customer's channel, time, and content propensities, plus past behavior and profile data.
Discover Delivery Optimization →Omnichannel Recommendation Delivery
Put the right product in front of every customer, wherever they engage. RESUL weaves relevant recommendations into journeys and presents them across touchpoints.
Discover Omnichannel Delivery →
Product Recommendations That Sell
Built on Behavior, Not Bestsellers
Recommendations are individualized by past purchase, browsing history, propensity, and profile, not only by what happens to be selling well to everyone else.
Cross-Sell and Upsell, Engineered for Impact
RESUL identifies the right product for each customer based on evolving profile and behavior, so your cross-sell and upsell engagement is always precise.
No Repetition after Purchase
Once a customer buys the recommended product, RESUL stops showing it, so recommendations stay fresh and budget is not spent on what has already converted.
Seven-Level Attribution
Every product recommendation is tied back to revenue across campaign, individual, brand and product, offer, channel, location, and last-mile associate levels.
Integration with Existing Catalogs
Incorporate rule-based recommendations from your brand through API and pull product catalogs directly into campaigns, so existing investments continue to work.
Delivered through the Right Channel
Recommendations adapt to each customer's channel and time propensities, so a mobile-first shopper receives them on mobile, while email readers receive them in their inboxes.
Frequently Asked Questions
Next-Best Product recommends the product most likely to convert for each individual customer, based on profile, behavior, propensity, and context. Recommendations are delivered across channels and stop once the customer purchases.
Traditional tools often rely on storefront behavior, collaborative filtering, or bestseller logic. RESUL enables AI-derived attributes, cross-channel propensity, and segment-of-one personalization across the full customer journey.
Yes, RESUL accommodates brand-defined rule-based recommendation models through API integration, so existing logic can continue to drive recommendations alongside AI-driven options.
Yes. RESUL identifies the right products to recommend for cross-sell and upsell based on each customer's evolving profile, including past purchases, browsing patterns, and category propensities.
RESUL stops showing that recommendation, so customers see the next-best product instead of what they already own. This keeps recommendations fresh and prevents wasted impressions.
Yes, RESUL supports business rules and overrides alongside AI recommendations, so you can enforce inventory availability, regional eligibility, pricing rules, compliance requirements, and brand-defined priority when needed.
Yes, RESUL's lookalike capability examines your database to create audiences similar to target segments, expanding reach to customers who match the profile of your best converters.
RESUL attributes every product recommendation across campaign, individual, brand and product, offer, channel, location, and last-mile associate levels, so you can see which recommendations converted.
More than Category Recommendations
Learn how Next-Best Product accelerates revenue with AI-driven, individualized recommendations attributed across every channel and sale.
