Show the Right Products to the Right People in Real-Time
We are natively integrated with :
+15%
The total online shop revenue boosted by 15%, and the average order value increased by 110%.
x3
Garmin has partnered with us since 2007, achieving a 378% increase in revenue in 2024 compared to organic site performance.
+8%
The online shop increased revenue by 8.18% due to the effect of Loadstone’s product recommendations.
Turn customer insights into higher conversions
At Loadstone, we’ve built a proven track record with well-trained +35 machine learning algorithms that drive measurable revenue growth for our existing clients. Here are our top use case scenarios.
Reduce abandonment rates by re-engaging users with personalized incentives and reminders. Our algorithms analyze cart data and customer behavior to suggest tailored strategies to complete the purchase.
Boost cart value by offering intelligent product recommendations. Our system identifies complementary and premium items that customers are most likely to add to their purchase, maximizing your average order value.
Our algorithm identifies trending and newly added products, presenting them to visitors based on browsing history and preferences. This ensures that customers discover relevant new items that match their interests and shopping behavior.
Turn first-time visitors into loyal customers. Our machine learning tools curate the most relevant products and offers, streamlining the path to purchase and boosting conversion rates right from their first session.
What would you like to improve in your e-commerce?
Our Solutions
Our Recommender System directly impacts your bottom line by driving measurable metrics: higher average order value (AOV), enhanced cross-sell and upsell opportunities, and broader SKU engagement. This is how we do it.
Step 1
Step 2
Step 3
Our most valuable assets are our 35+ algorithms, created and optimized with real use case scenarios. Tested over a total of 140 years of work hours by our developers, growth hackers, and e-commerce experts.
Popular products
Our algorithm is trained to predict the next purchase
High-margin algorithm
Our algorithm intelligently prioritizes high-margin products
Missing items algorithm
This algorithm suggests similar products for out-of-stock items
AI Stylist algorithm
For the fashion industry, tailored to the customer's preferences.
See all +35 algorithms and the locations where they work best
Our technology
Our robust AI-powered Recommender System seamlessly connects to your existing e-commerce platforms and is ready to process high volumes of data and user interactions.
With our low-code widgets and easy integration, your eCommerce platform will be up and running in no time. Native integrations are available for Magento, Prestashop, Vtex, Shopify, and Google Tag Manager.
Our technology handles multiple regions, warehouses, and points of sales with product price variations across the globe.
Automatically connect with SKU databases of any scale, filtering out all out-of-stock goods to ensure only available items are displayed.
Scalable architecture and logic designed to support businesses of all segments and sizes, accommodating growth while maintaining high performance.
Scale your software as your business grows