AI/ML Personalized Product Recommendations
Our solution meets the preferences of your customers and increases sales in the store by 5-10%.
3-minute integration with any eCommerce platform
Advanced AI/ML Technology
Our solution meets the preferences of your customers and increases sales in the store by 5-10%.
Maximize potential of your store with personalized recommendations
Real results from our implementations
“Cooperation with Recostream is pure pleasure. The tool continues to develop and adds new useful functionalities. I recommend it to both beginner stores and more developed ones.”
“Recostream allows us to boost the chances of increasing the value of the shopping cart, which, considering a high cost of acquiring a customer, is a very important aspect.”
We know that our recommendation engine works. If our recommendations share in your sales won’t be greater than 10x the cost of our service after 12 months, we will refund you for that period.
Personalize every step of your shopping path
Product Page, Category Page, Home Page, Basket, Blog Posts
Add to Basket Event, Unavailable Product Page
Shopping Assistant guiding through your store inventory with personalized suggestions.
Advanced artificial intelligence and machine learning models enables us to create recommendations unique for a given visitor. Automatically self-adapting models: Similar Items, Popular Items, Recently Visited, Others Viewed, Best Converting, Manual Rule-Based Recommendations. Best-sellers, Cross-sellers, etc.
8 Types Of Recommendation Systems
Real-time analysis of traffic and behavior immediately impacts recommendation results for a given visitor.
The Role of Cookies for the Purchasing Customer
Just add a short Javascript code (like for Google Analytics or Google Tag Manager) and it's done. No coding or special integration needed. Works with any platform. Easily adjust look & feel.
How to Install the Recommendation Engine
Display format optimized for mobile & desktop devices ready to be placed on product page, category page, add to basket action, unavailable product page, home page, basket page or blog post.
Most Profitable Places to Put AI-based Product Recommendations in Your Online Store
Objectively analyze the effectiveness of our recommendation and their impact on your store metrics in Enhanced eCommerce. Easily run A/B testing with Google Optimize.
How to Track Recostream Conversions in Google Analytics?
Finally understand how different recommendation models work in different locations of your store.
Unavailable but frequently visited products? Products starting user sessions? Oldest price modifications? Get real-time insights in our dashboard.
All data collected by our platform about your store are yours. You can export everything with full history and slice & dice further in Excel or your favorite tool.
Research facts about recommendation systems
Salesforce research shows that clients who clicked recommended items generated 24% of orders and 26% of sales.
They spend over 12 minutes in store compared to less than 3 minutes spent by clients who did not interact with recommendations.
Visitors that clicked recommendations were 4.5 times more likely to create a shopping cart. By implementing product recommendations you can improve cart abandonment by up to 4.35%.
Zalando research, shows that users placed a product into the shopping cart in one of the next two sessions in about 14% of the cases when they had clicked on it within a recommendation list.
Understanding the decision process of your visitors enables you to make data-driven decisions about your store and provide products and options they want.
Knowledge base about Artificial Intelligence, personalization, and eCommerce solutions
