Recommender System: Deliver AI-personalized UX for every customer

Your e-commerce shouldn’t be static. Use Loadstone’s advanced AI and machine learning algorithms to automate personalized product displays for every customer.

We analyze customer behavior, predict purchases, and automate impactful recommendations to increase revenue.

Trusted by leading brands worldwide

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Proven results

Loadstone’s  AI Recommender System powers 1000+ clients

See how our solution improves business performance by reading data from real clients.

Fashion
Spain

+15%

The total online shop revenue boosted by 15%, and the average order value increased by 110%.

Sport
Chile

x3

Garmin has partnered with us since 2007, achieving a 378% increase in revenue in 2024 compared to organic site performance.

Fashion
Brazil

+8%

The online shop increased revenue by 8.18% due to the effect of Loadstone’s product recommendations.

What we do

Turn customer insights
into higher cart values

Our AI 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

Our AI models learn from users’ behavior and develop precise shopping patterns.

We collect high -quality zero- or first-party data from different touchpoints, and ethically consolidate and process it. We are GDPR and US privacy law compliant.

Mobile app interface showing Python code snippet and e-commerce screen featuring sun hats with coral banner promoting 75% discount on summer wear

Step 2

We deliver AI-precise targeted shopping  suggestions at the most opportune moments and locations

Our product displays align with the native format and design,  guaranteeing a consistent user experience with organically  visually integrated e-shelf across devices.

E-commerce product page featuring beach accessories including 50% off straw shoulder bag $49, orange striped beach towel with starfish $19, and red striped tote bag $19, displayed above summer hat product details with 4.8-star rating and size selection menu

Step 3

We collect and organize data allowing you to optimize performance

At Loadstone, we collect and organize performance data from recommended blocks, individual orders, and categories. With the support of our team and built-in analytics tools, you can identify top performers and automate precise actions to drive sustainable, predictable growth.

iPhone 14 Pro displaying social media analytics dashboard with engagement metrics and fashion product statistics against beige textured wall
Mobile app interface showing Python code snippet and e-commerce screen featuring sun hats with coral banner promoting 75% discount on summer wearE-commerce product page featuring beach accessories including 50% off straw shoulder bag $49, orange striped beach towel with starfish $19, and red striped tote bag $19, displayed above summer hat product details with 4.8-star rating and size selection menuiPhone 14 Pro displaying social media analytics dashboard with engagement metrics and fashion product statistics against beige textured wall

What sets us apart

35+ Machine Learning 
algorithms created to solve real
e-commerce needs

At Loadstone, we’ve built a proven track record with well-trained machine learning algorithms that drive measurable revenue growth for our existing clients. Here are our top use case scenarios.

Professional wearing checkered blazer and white hoodie taking notes while holding red smartphone in modern home office settingSummer beach essentials product recommendations featuring straw shoulder bag, orange-striped beach towel, and red-striped canvas tote bag with discount percentages and sale prices

Introduce visitors to new product arrivals

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.

Remote worker wearing cozy cream cardigan and wireless headphones focused on laptop while sitting on sofa with yellow throw pillows in home office settingBusiness analytics dashboard showing 371 new orders with 20% revenue increase, displayed on purple gradient ascending line graph

Improve conversion rate to first purchase from the first session

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.

Person wearing a trendy blue bandana headband accessory with silver hoop earrings and wavy brown hair against warm brown backgroundClassic beige panama hat with woven straw design and wide brim, discounted 50% off to $20 from original $40 price

Increase ARPU with truly accurate cross-sell and up-sell recommendations

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.

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Fight shopping cart abandonment

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.

What would you like to improve in your e-commerce?

Meet the Stars

Our top-performing algorithms, backed by 12 years of expertise

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

Modern minimalist white text displaying "Our Best Seller" in casual handwritten text against neutral background

Our Popular Product Algorithm powers a visual e-shelf, showcasing top-viewed, favorited, and purchased items, helping customers explore and decide faster. Our algorithm is trained to predict the next purchase combining a single user’s navigation with mass audience insights.

High-margin products algorithm

Our algorithm intelligently prioritizes and recommends high-margin products that align with the user's preferences and purchase intent. It ensures that the most profitable products are showcased without compromising relevance or user satisfaction.

Analogues to missing items algorithm

This algorithm suggests similar products for out-of-stock items, ensuring a smooth shopping experience and minimizing lost sales.

Total Look AI Stylist algorithm

White handwritten text "For fashion industry" on translucent background with soft gray shadow effect

Uniquely designed for the fashion industry, our algorithm analyzes product images and suggests clothing outfits with matching styles, colors, and related products, all individually tailored to the customer's preferences.

See all 35+ algorithms and the locations where they work best

Our technology

Integrate and scale seamlessly with Loadstone

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.

Fast Time-to-value

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.

Black and white circular PrestaShop logo featuring stylized bird head design with geometric angles above company wordmarkModern gray and white Magento logo featuring hexagonal geometric design with stylized M letterformGray Shopify logo with iconic shopping bag symbol displayed horizontally against white backgroundVTEX gray logo with triangular geometric symbol and company wordmark in modern minimalist design
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Worldwide technology

Our technology handles multiple regions, warehouses, and points of sales with product price variations across the globe.

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Real-time data collection and SKU sync

Automatically connect with SKU databases of any scale, filtering out all out-of-stock goods to ensure only available items are displayed.

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Scalability and performance

Scalable architecture and logic designed to support businesses of all segments and sizes, accommodating growth while maintaining high performance.

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Scale your software as your business grows

Guaranteed omni-channel consistency like no other

From personalized web pages to app recommendations and hyper-targeted email campaigns, we make sure every touchpoint feels like it was crafted just for your customer. Turn mass communications into meaningful messaging, delivering individualized shopping suggestions that matter across all channels.

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Web
mobile
App
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Communications
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POS
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You will come for the technology and stay for the vision

From day one, you will have an experienced team of experts to consult on strategy, guide you through setup, provide best practices, and help your team maximize the impact of our solution. A partnership with us will guarantee you are never alone.

When you partner with Loadstone you add to your team:

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A dedicated customer success manager

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A local technical account manager

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International growth hackers and data analysts

Eduardo Cortez

Brazil

Paula Azòcar

Chile

Serge Lobo

US

Valeria Jirón

Spain

Valeria Jirón

Serge Lobo

Paula Azòcar

Eduardo Cortez

Pedro Ortega

A modular marketing system
for your incremental growth

Loadstone offers  more than a customer experience platform.
Our composable marketecture lets businesses create scalable and customizable commerce  solutions to meet their unique needs.

Unified Customer Data Platform

A powerful CDP to fuel your marketing processes with real-time data

High-quality data is at the heart of the entire Loadstone product ecosystem, unifying sales data with first-party client information from multiple sources. It provides a comprehensive, marketing-ready client view and serves as the foundation for all our products, with the latest user segments and insights.

Retail Media

Designed to enable businesses to generate additional revenue with targeted advertising

Our end-to-end commerce media platform is an easy-to-manage product placement and advertising solution that dynamically delivers personalized ads to the most relevant shopping audiences, right at the point of sale.

Mobile app interface showing discounted outdoor gear: brown leather hiking boots at $99, orange hiking backpack at $59, and sports sunglasses at $199, with product cards displaying prices and savings percentages

CRM & Communications

Activate customer engagement with
ultra-personalized interactions

Loadstone’s CRM & Communications product allows marketers to segment their consumer base and engage audiences with an omnichannel approach, both online and offline.

Online shopper in mustard yellow blazer reading mobile notifications, surrounded by modern home decor including snake plant and ambient table lamp

AI Recommender
system

Shopping suggestions based on Artificial Intelligence and consumer behavior

Our recommender system is based on smart AI algorithms that precisely generate buying suggestions organically displayed at the most opportune moments. The perfect tool to maximize revenue potential.

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AI based commerce search

Replaces the native search function to provide exactly what users are looking for

AI Search enhances web and mobile product discovery experiences, driving higher conversions and ensuring customers never leave without making a purchase with rapid, highly accurate, and up-to-date results.

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Loyalty Management

Empower your brand with strong customer connections across all channels

Loadstone’s Loyalty Management system provides a flexible, robust solution for designing, launching, and managing loyalty and referral programs, seamlessly connecting online and offline audiences.

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Promo
Marketing

Simultaneously plan and launch various types of sales promotion campaigns

With our Promotional Marketing solution, marketers can easily run campaigns to attract new clients or reactivate existing audiences, while stimulating higher purchase volume and accelerating sales turnover.

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FAQs

What are product recommendations?

Product recommendations are personalized suggestions based on a user’s behavior, preferences, and past purchases. Our algorithm analyzes data to suggest products that are most relevant to each customer, helping enhance their shopping experience.

Product recommendations are personalized suggestions based on a user’s behavior, preferences, and past purchases. Our algorithm analyzes data to suggest products that are most relevant to each customer, helping enhance their shopping experience.
How do the recommendations work?

Our recommendation engine uses machine learning and behavioral data to analyze browsing history, purchases, and interactions. It then suggests products that match the customer’s interests, increasing the likelihood of purchases.

Our recommendation engine uses machine learning and behavioral data to analyze browsing history, purchases, and interactions. It then suggests products that match the customer’s interests, increasing the likelihood of purchases.
How do recommendations help increase sales?

Recommendations guide users to products they’re more likely to buy, leading to increased conversions. They also encourage upselling and cross-selling by suggesting complementary or higher-value products, boosting average order value (AOV).

Recommendations guide users to products they’re more likely to buy, leading to increased conversions. They also encourage upselling and cross-selling by suggesting complementary or higher-value products, boosting average order value (AOV).
Can I customize the recommendation algorithms?

Yes, our platform allows you to customize the algorithms according to your business goals. For instance, you can prioritize products with higher profit margins or focus on new arrivals for specific customers.

You can track and analyze all performance data through self-service in-app reports. Available stats include impressions, clicks, CTR, number of orders, order values, spend, campaign revenues, and ROAS. These metrics can be examined across both post-click and post-view attribution for precise insights.
Do recommendations work on mobile devices?

Absolutely. Our recommendation engine is fully optimized for mobile, ensuring that customers receive personalized product suggestions whether they’re browsing on a desktop, smartphone, or tablet.

Absolutely. Our recommendation engine is fully optimized for mobile, ensuring that customers receive personalized product suggestions whether they’re browsing on a desktop, smartphone, or tablet.
How do you ensure that recommendations are accurate?

We use real-time data and advanced algorithms to continually learn from user behavior, adjusting recommendations to be more precise over time. The system can take into account browsing history, purchasing patterns, and even abandoned carts.

We use real-time data and advanced algorithms to continually learn from user behavior, adjusting recommendations to be more precise over time. The system can take into account browsing history, purchasing patterns, and even abandoned carts.
Can I track the performance of the recommendations?

Yes, our platform includes detailed analytics that allow you to track the impact of recommendations on sales, conversions, click-through rates (CTR), and more. You’ll have access to real-time data to monitor the effectiveness of your recommendation strategy.

Yes, our platform includes detailed analytics that allow you to track the impact of recommendations on sales, conversions, click-through rates (CTR), and more. You’ll have access to real-time data to monitor the effectiveness of your recommendation strategy.

Contact us if you have more questions about Recommender System.

Magnetize your commerce business at every touchpoint

Discover how our innovative solutions can elevate your retail strategy and drive sales effectively.

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