Next-Best Product

Right Product, Right Customer. Automatically.

Accelerate revenue with individualized product recommendations that simplify product discovery and boost cross-sell and upsell at scale.

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Five Ways RESUL Decides the Next-Best Move

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.

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.

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.

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.

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.

Product Recommendations That Sell

Built on Behavior, Not Bestsellers

Cross-Sell and Upsell, Engineered for Impact

No Repetition after Purchase

Seven-Level Attribution

Integration with Existing Catalogs

Delivered through the Right Channel

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.