Recommendation as a Service
RecomNext gives you a complete recommendation backend out of the box. Plug in your catalog, define scenarios with nextQL, and serve personalized results through a single API call.
Use cases
E-commerce AI personalization
Boost sales by making every shopping moment feel personal. Fuller carts, stronger discovery, and placements that adapt as customers browse.
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RecommendedCapabilities
From collaborative filtering to content-based similarity, pick the right algorithm for each placement on your site.
Write filters, boosters, and segmentation rules in plain, readable syntax without redeploying backend code.
Measure recommendation performance with impression, click, and conversion tracking tied to each scenario.
Define named scenarios for each touchpoint (homepage, product detail, cart), each with its own logic.
Automatically group catalog items by attribute or expression to ensure balanced, diverse result sets.
Run multiple brands or storefronts on a single deployment with fully isolated data per tenant.
Drop-in Browser and Node.js clients with auto-impression tracking, typed responses, and retry logic.
Surface semantically similar products using vector search with customizable embedding templates.
How it Works
Why RecomNext
Go from zero to live recommendations with minimal engineering effort.
One REST endpoint to fetch recommendations, with no complex orchestration required
Browser SDK handles impression and click tracking automatically
Node.js SDK ships with built-in retries, timeouts, and typed responses
Comprehensive API reference, nextQL guide, and SDK docs to get you running fast
Leverage state-of-the-art retrieval and ranking without building ML infrastructure from scratch.
Vector search finds semantically similar products using Qdrant and embedding models
Behavioral signals are captured through co-occurrence and weighted-history algorithms
The algorithm registry is pluggable. Add or swap strategies without redeployment
Embedding pipelines run asynchronously with fully configurable templates
Low-latency responses and fresh rankings as your catalog, traffic, and teams grow.
Millisecond retrieval keeps product pages and apps feeling instant under peak load
Real-time re-ranking from live interactions so recommendations reflect current behavior
Multi-tenant by design, with isolated workspaces for separate catalogs, scenarios, and data
Run A/B tests on scenarios and algorithms in parallel without cross-tenant interference
Scenario
Pricing
Most engagement tools bill on interaction volume. We bill on output: only Recommendation, Search, and Catalog API calls count. Impressions and event tracking stay free. Each month you pay the lower of tier API usage or 6% of conversion.
Plan comparison | Startup $99 / mo | Most popular Growth $325 / mo | Enterprise Custom |
|---|---|---|---|
Monthly included API calls | |||
Recommendation APIs Unified and per-scenario endpoints. | 100,000 / mo | 1,000,000 / mo | Custom |
Search APIs | 50,000 / mo | 500,000 / mo | Custom |
Catalog APIs 2× your Recommendation API allowance. | 200,000 / mo | 2,000,000 / mo | Custom |
Billing | |||
Monthly plan | $99 / mo | $325 / mo | Custom |
Overage (above included limits) | $1.20 / 1K calls | $0.80 / 1K calls | Custom rates |
Performance-based alternative Whichever costs less each month. | 6% of conversion | 6% of conversion | Custom terms |
Included in plan | |||
Support | Email support | Priority support | Dedicated success manager |
Analytics | Admin console & analytics | Advanced reporting & exports | Custom dashboards & BI exports |
Onboarding | Self-serve docs | Guided onboarding | White-glove rollout |
Enterprise options | — | — | SSO, private deployment, custom SLAs |
| Get started | Talk to us | Contact sales | |
Enterprise plans include custom API limits, rates, and deployment options. Reach out to sales@recomnext.com for a tailored quote.
Contact
Whether you are evaluating RecomNext, planning an integration, or need help with scenarios and analytics, our team will get back to you within one business day.
Prefer email? Reach us at sales@recomnext.com
