Each user will receive a “Recommended for you” product offer tailored to their current needs and based on their interaction path on the shop’s website, i.e. the history of viewed and searched products during the last/last few sessions. Recommendations change in real time after each product view and their content is influenced by the order of the products viewed by the user.
Possibility of using a few product catalogues in recommendation frames, e.g. Google feed.Read more
Possibility of using a single product catalog compatible with the Google Merchant, QuarticXML or Heureka format.Read more
Searching by product ID and SKU without the use of quotation marks. The results show exactly one product, if available in the feed.Read more
AI-based personalised recommendation frames, which display content tailored to the individual needs of your clients
Fully integrated with the QuarticOn recommendation engine, sending e-mail messages to subscribers of the online shop after a set time or after the system recognises a specific action from the potential recipient
Internal search engine in your online shop, which is based on artificial intelligence algorithms and integration of search results with personalised product recommendations
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