Question 1

What is Recommender and how does it work?

Accepted Answer

Recommender is an AI product recommendation engine for online stores. It analyses your product catalogue and anonymous visitor behaviour – views, carts and purchases – and shows every customer the products they are most likely to buy.

Question 2

What types of product recommendations can I show?

Accepted Answer

Frequently bought together, similar products, alternatives to sold-out items, bestsellers and trending products, new arrivals, recently viewed items and personalised picks on the homepage. We tailor the mix to your product range.

Question 3

Where in the store are recommendations displayed?

Accepted Answer

Most often on product pages, in the cart and in the pop-up after adding to cart. Also on the homepage, in categories, in blog posts and on the no-search-results page.

Question 4

How much can product recommendations increase revenue?

Accepted Answer

It depends on your product range and traffic. Stores with well-tuned recommendations commonly lift average order value by tens of percent, and recommendations make up a significant share of their revenue. You track performance directly in the analytics.

Question 5

Do I need a lot of data for recommendations to work?

Accepted Answer

No. From day one they work with your catalogue content – categories, attributes and product descriptions. As purchases accumulate, the AI learns from customer behaviour and recommendations become increasingly accurate.

Question 6

Will Recommender slow down my store?

Accepted Answer

No. The client-side script loads asynchronously and recommendations are returned in a fraction of a second, so neither your site speed nor your PageSpeed score suffers.

Question 7

Can I control what gets recommended to customers?

Accepted Answer

Yes. You can pin, boost or exclude selected products, brands or categories – for example higher-margin items or products in stock.

Question 8

Is Recommender GDPR compliant?

Accepted Answer

Yes. We work with anonymous behavioural data and catalogue data, not customers' personal data. Recommendations are personalised without us knowing who exactly is shopping.

Question 9

Does Recommender work with Shoptet, Upgates or Shopify?

Accepted Answer

Yes. We connect it via a client-side script to Shoptet, Upgates, Shopify, PrestaShop, Magento and custom-built stores. All it takes is a product feed or API access.

Recommendations that sell what shoppers weren't even looking for.

A shopper browsed Kärcher vacuums. Recommender brings them back – with what goes with them.

How Recommenderdrives sales

Frequently bought together

Similar and better alternatives

Personalised for every visitor

Everywhere people shop

“For akciovenaradie.sk we deployed recommendations that automatically suggest accessories for tools – bits, batteries and chargers. Customers add more items to their carts and the average order keeps growing.”

“For Vláskom.sk we recommend the right conditioner, mask or oil from the same line to go with a shampoo. Customers build a complete hair-care routine in one order, and recommendations drive sales every day.”

Measurable impact for your store

Higher average order value

of store revenue can come from recommendations

More click-throughs to products

Easy integration with any online store

Our pricing

Frequently asked
questions

Grow every order by one more item.

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