BloomreachAI Ecommerce
Paid
AI personalization platform with Loomi AI that powers email, SMS, ecommerce search, and conversational shopping across 1,400+ global brands.
Visit Website →Recombee
FreemiumAPI-based AI recommendation engine that delivers real-time personalized product, content, and service recommendations with millisecond response times for any industry.
What is Recombee?
Recombee is an AI-powered recommendation engine as a service that enables developers and product teams to add sophisticated personalized recommendations to their platform in minutes using a clean, well-documented REST API with clients available in Python, Node.js, PHP, Ruby, Java, C#, and more. Unlike monolithic personalization platforms that bundle many tools, Recombee focuses entirely on making its recommendation engine exceptionally good: it combines collaborative filtering, content-based models, deep learning neural networks, and an in-house AutoML system that continuously optimizes algorithm ensembles against your specific KPIs. Recommendations update in real time based on user interactions, handling cold-start for new users and new items through content-based models until sufficient behavioral data accumulates. Business rules, called boosters and filters, allow merchandisers to push specific brands, margin-weighted products, or affiliate partners into the recommendation stream without engineering changes. Recombee's ReQL (Recombee Query Language) enables advanced scenario customization without code changes. Customers report 70%+ higher product detail page views and 30%+ higher CTR from homepage recommendations, 6% add-to-cart increases, and 37% bid rate increases. Pricing is usage-based starting at $99 per month with a free plan for up to 100,000 requests per month.
Key Features
Real-Time Product Recommendations APICollaborative Filtering ModelsContent-Based Recommendation ModelsDeep Learning Neural NetworksAutoML Algorithm OptimizationCold-Start Handling (New Users and Items)ReQL Business Rules LanguageBoosters and Filters for MerchandisingPersonalized Search ResultsCross-Sell and Upsell ScenariosTrending and Bestseller ModelsCategory-Level PersonalizationInfinite Scroll Personalized Category PagesImage-Based Similarity MatchingNLP for Product Attribute AnalysisReal-Time Analytics and Insights DashboardMulti-Language API Clients (7+ Languages)
Integrations
E-commerce
Shopify
Other
Kentico
Automation
Zapier
Analytics
Google Analytics
Webhooks & API
REST API
How to Use Recombee
1Sign up and create a Recombee database via the admin panel
2Import your product catalog and user data via the REST API or client library
3Instrument your site to send user interaction events (views, add-to-cart, purchases) to Recombee
4Call the recommendation API endpoint to retrieve personalized results for each user and page
5Use the Insights dashboard to analyze CTR, conversion, and revenue by recommendation scenario and adjust boosters if needed
✅ Best For
- Developer-led product teams at ecommerce companies, media platforms, marketplaces, and SaaS products who need a powerful, flexible recommendation engine that can be integrated quickly without building ML models in-house and without being locked into a large enterprise platform contract.
- Mid-market ecommerce and content platforms that want the recommendation quality of a machine learning engine at a fraction of the cost of building or maintaining an in-house data science team, with usage-based pricing that scales proportionally with their business.
❌ Not For
- Non-technical teams or marketers who need a no-code, point-and-click personalization tool with visual editors and pre-built templates, as Recombee is an API-first platform that requires developer resources for integration and ongoing configuration.
- Very high-traffic enterprise retailers with complex governance, multi-region data residency, and advanced personalization orchestration needs that go beyond what a standalone recommendation engine covers and would be better served by a full enterprise CDP or discovery platform.
Reviews
No reviews yet. Be the first to review Recombee!
Pricing
Free$0
- ✓Up to 100
- ✓000 API requests/month
- ✓ideal for testing and small sites
Starter$99/mo
- ✓Higher request volume
- ✓all recommendation models
- ✓full API access
BusinessCustom
- ✓Enterprise volume
- ✓SLA
- ✓dedicated support
- ✓multi-database
30-Day TrialFree
- ✓Full platform access
- ✓no credit card required
Prompts to Try
Return personalized product recommendations for a user who just viewed three running shoe SKUs and has previously purchased workout equipment, ranked by our target profit margin as a secondary sort
Show 6 complementary product recommendations on the cart page based on what other shoppers bought together with the items currently in the cart
Boost all products from our private-label brand by 20% in the recommendation ranking across all homepage and category page scenarios
Use Cases
Slickdeals, a deal aggregation marketplace, integrates Recombee's recommendation engine into their homepage and user feed, reporting a 70%+ increase in product detail page views and a 30%+ improvement in click-through rates compared to their previous manual editorial curation.
An online auction platform (Reliving) replaces a manually configured recommendation system with Recombee, achieving a 6% add-to-cart increase and a 37% bid rate improvement within 90 days, with the entire integration completed by two developers in under a week.
A B2C marketplace uses Recombee's category-level personalization to build an infinite scroll browse experience where the product order dynamically reflects each shopper's demonstrated brand and price preferences from their session history, lifting repeat page engagement by 45%.
A music streaming platform uses Recombee's content-based models to solve the cold-start problem for newly uploaded tracks, ensuring that even a song uploaded within the last hour is recommended to users whose listening history indicates they would enjoy it — before any listen data for that track exists.
An online recruiting platform integrates Recombee to recommend job listings to candidates based on their profile, viewed postings, and apply history, achieving a 2.3x increase in application completion rate for recommendations served on the homepage compared to their previous editorial job curation.
Alternatives to Recombee
ConstructorAI Ecommerce
Paid
AI-native ecommerce search and product discovery platform that uses reinforcement learning to optimize revenue across search, browse, recommendations, and guided selling.
Visit Website →GorgiasAI Ecommerce
Paid
Conversational AI helpdesk for ecommerce that automates 60% of support tickets, drives sales from chat, and unifies all channels in one inbox.
Visit Website →JasperAI Ecommerce
Paid
AI marketing platform with Brand IQ that writes on-brand campaign copy, product descriptions, ads, blogs, and emails across teams at scale — trained on your voice.
Visit Website →Octane AIAI Ecommerce
Paid
AI-powered product quiz platform for Shopify that collects zero-party data, personalizes recommendations, and syncs with Klaviyo to drive email growth.
Visit Website →OmnisendAI Ecommerce
Freemium
Email, SMS, and web push marketing automation platform for ecommerce returning $79 for every $1 spent, trusted by 150,000+ Shopify and WooCommerce brands.
Visit Website →PhotoroomAI Ecommerce
Freemium
AI photo editing platform for ecommerce that removes backgrounds, generates AI scenes, creates virtual model shots, and batch-processes product images at scale.
Visit Website →
Shopify MagicAI Ecommerce
Free
AI suite built into Shopify that writes product descriptions, edits images, creates emails, and powers the Sidekick commerce assistant.
Visit Website →WearViewAI Ecommerce
Paid
AI fashion photography platform that generates on-model product images in 30 seconds from any garment photo, with diverse AI models, ghost mannequin, and AI fashion video.
Visit Website →SmartlyAI Ecommerce
Paid
AI advertising platform that unifies creative production, campaign management, and media optimization across Meta, TikTok, Pinterest, CTV, and 10+ social channels.
Visit Website →