Recommendation Systems
Increase user engagement & upsells with intelligent data-based product recommendations.
Guesswork over guidance
Relying on static recommendations, or skipping them entirely, you’re neglecting customer engagement & missing out on sales.
- 80% of ecommerce customers are more likely to buy when offered personalized experiences, yet most stores still serve static recommendations.
- Manual product curation doesn’t scale and often misses cross-sell or upsell opportunities.
- Generic “bestsellers” or “most viewed” lists offer little relevance to individual users.
- One-size-fits-all content increases bounce rates and weakens customer loyalty.
- Without real-time learning, every visit starts from scratch – no memory, no momentum.
RECOMMENDATIONS THAT WORK
Improve UX and sales results through personalized data-driven content & product suggestions
-
Personalized journeys at scale
Deliver relevant, high-converting recommendations based on insights learned from every user interaction.
-
Plug-and-play solution
Add dynamic “Recommended for you” carousels and widgets to your website, app, or emails within days – no dev marathon required.
-
Reliable experience modeling
Show each visitor the products or content they’re most likely to love, thanks to AI models that adapt to browsing behavior, preferences, and purchase history.
-
In-the-moment intelligence
Capture real-time intent with instant updates to recommendations as users scroll, click, or convert – no lag, no outdated suggestions.
-
Convenient testing
Experiment with different recommendation strategies using built-in A/B testing tools, and track performance through dashboards focused on conversions and click-throughs.
-
Scalability & speed
Serve fast, accurate recommendations across large product catalogs and high-traffic environments – without compromising speed or UX.
BENEFITS
Boost user engagement & sales
-
Maximize revenue per customer
Increase the average number of items in carts and larger orders through data-driven cross-sell and upsel
-
Improve customer experience
Turn discovery into delight – show users exactly what they want faster and increase their satisfaction and loyalty
-
Boost conversion rates
Improve the chance for conversion by showing relevant content at the perfect time
-
Increase marketing ROI
Improve the effectiveness of your marketing campaigns with AI-selected content for each recipient
What sets us apart
Proven algorithms
Our system employs the same advanced techniques used by top ecommerce and streaming companies, but in a ready-made package. This means you get world-class recommendation quality without needing a dedicated data science team.
Cold-start solution
You get relevant recommendations from the very first interaction – even for new users or products – thanks to our hybrid engine that blends behavioral trends with content attributes to overcome the cold start problem.
Business goal alignment
Set your objectives in the admin panel (e.g. maximize revenue vs. maximize click-through), to have the AI adjust the system’s output and make sure it supports your business strategy.
Customization & control
You can fine-tune the recommendation criteria and business rules (for example, excluding out-of-stock items or prioritizing higher-margin products). You do that through a convenient admin interface, taking control over the AI output.
Proven effects
After multiple implementations we can confidently confirm that businesses adopting our Recommendation Systems see immediate competitive advantages: higher average order values, improved customer retention, and a notable edge over competitors that keep showing one-size-fits-all content.
Your questions
Our answers
The tool can provide product-to-product suggestions (e.g., similar items or “customers also bought”), personalized content feeds, up-sell and cross-sell offers, and even dynamic bundles. It can be used in e-commerce for product suggestions, in media for content (movies, articles, music), or any scenario where matching users with items is needed.
Our team provides guidance to ensure the recommendation engine is up and running smoothly, often in a matter of days. It’s designed for quick integration. We offer RESTful APIs, SDKs, and ready-made UI components for popular platforms. In most cases, you can implement basic recommendation widgets by adding just a few lines of code. It also supports integration with your product catalog, user database, and analytics tools.
Yes, you maintain control. Through the admin dashboard, you can set business rules and filters – for example: you can blacklist certain items from recommendations, boost specific categories, or adjust the balance between novelty and familiarity in suggestions. You can also configure goals (like maximize revenue vs. maximize click-through) and have the AI adjust recommendations to meet those objectives. This ensures the system’s output aligns with your business strategy.
LET’S TALK
Ready to make recommendations work?
See the product in action
Other services from this section
-
Customer Segmentation
Identify distinct customer groups and preferences, which can enhance recommendation strategies by tailoring suggestions to each segment’s interests.
-
Sales Forecasting
Predict sales trends and demand for products, helping to inform inventory for items heavily recommended by the system.
-
Customer Intent Prediction
Understand what a customer is likely looking for or likely to do, which can further refine the relevance of recommendations offered.