Homepage recommendations
Use the current session and available catalog context to frame a useful starting experience.
Commerce personalization
A better match for every shopper.
Make product recommendations reflect browsing context, catalog attributes, and changing customer intent.
Discuss your use caseThe opportunity
Help shoppers find relevant products across a growing catalog.
Generic lists cannot always keep up with individual intent. Bring your catalog, content attributes, and appropriate interaction signals into a recommendation workflow designed for the discovery moment.
Views → saves → cart
Assess the inputs, ranking objectives, and operating constraints before agreeing an integration. Availability and implementation scope are confirmed directly for your product.
Where relevance meets your product
Start with a specific placement.
Similar products
Connect the current item or content to related options using attributes and relevant signals.
Cart discovery
Keep exploration useful while considering freshness, diversity, and business constraints.
Explore the principle
Context changes the next recommendation.
Try a sample commerce catalog to see the idea. Your own placement, rules, and data would be scoped separately.
PERSONALIZATION EXPLORER
Session awareSame catalog. A different experience.
SESSION CONTEXTBuilding a focused workspace
SignalsRankNexaRelevance01Recent session intent
DEMO CATALOG ITEM A
Room to focus
02Related category
DEMO CATALOG ITEM B
A lighter workspace
03Discovery diversity
DEMO CATALOG ITEM C
Everyday carry
Recent actions change the context. Relevant workspace items move to the front.
Catalog → candidates → ranking → experienceSample items · illustrative logic · no live customer data
Let’s find your starting point
Great catalogs.
Even better discovery.
Bring your product, your catalog, and your biggest relevance question. Let’s talk about what a better experience could look like.
Book a demo