Personalize the user experience of your e-commerce

We place the right product in front of the right user using AI recommendations.

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Benefits for Retailers

Conversion boost

Between 30% and 250% in conversion driven by recommendations.

Increase Click-Through Rate

Between 50% and 300% in CTR driven by recommendations.

Secure, Scalable and Fully Managed

Our technology is designed to ensure maximum scalability. On average, 95% of our requests are served in under 40 milliseconds.

Improve Average Time on Site

Between 100% and 400% in average time on site.

No Upfront Fee or CPC

There is no cost-per-click nor set up fee. We only charge a small fee when we get you a sale.

Quick and Easy Integration

RecoMind integrates seamless with popular e-commerces platforms like Shopify, WooComerce, Magento, BigCommerce, etc. With other retailers, we typically make the integration in less than two weeks.

Recommenders empowering your business

personalized recommendation

Personalized Recommendation

This recommender helps retailers to display the products that a user is more likely to buy.

This solution works very well on a personalized home page or newsletter.

It estimates the recommended products based on the user shopping history, using machine learning.

You Might Also Like

This recommender has the objective to increase the chance of users to buy, when they are on a product page.

In addition to considering the shopping history of the user, the recommender takes into account the current product to estimate which products to recommend.

you might also like
frequently bought together

Frequently Bought Together

This recommender is designed to facilitate cross-selling and cart expansion.

It is typically displayed in the shopping cart page, just before check out.

The scenario analyzes the cross-selling behavior of the retail and produces a recommendation adapted to the the current user.

Similar Alternatives

This recommender provides an alternative to avoid losing a sale. It works well for down-selling and out-of-stock alternatives.

The scenario can be used in email marketing for retargeting, in an out-of-stock page or displayed in the check out page.

It provides substituting products based on similar price, brand, features or visual appearance.

similar alternatives

Commission-based price

We are 100% focused on customer success, so we only get paid if we get you a sale. Our solution is actually free for you.

There is no CPC, or set up fee. We just charge a small fee for every product we help you to sell.

This is how it works: we connect a tracking pixel to every product we recommend, at the end of the month, we will send you an invoice for the products that users have bought using RecoMind.

Case Studies

We helped US-based company AutoIntel to improve their automotive recommendation platform. With a dataset of 34 million users interacting with 1600 different car models and options and around 8 billion positive and negative interactions, we explored how different recommender algorithms can analyze customer behavior, increase customer engagement and drive sales.

BMW accessory recommendation

+333% algorithm performance

A large consultancy in the US wanted to recommend training courses to their employees. With 25000 employees and around 62000 courses, our team tested a suite of 6 different text-based recommenders until find the most appropriate for the customer's dataset. We obtained a boost in employee engagement and course conversion.

Employee training recommendation

+55% engagement

A large retailer in the UK wanted to provide alternatives when a user was looking for a product that was out of stock. The recommended alternatives generated by our team had into account the visual appearance of the product and the past buying history of the user. We improved customer engagement, click-through rate and conversion rate.

Similar alternative for out of stock dress

+45% conversion rate

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