Each user will receive product recommendations that complement the one they are watching during the current session. Complementarity of products is determined on the basis of other users’ choices, i.e. the frame shows products that have been added most often to the shopping cart along with a given product, which provides the incentive to buy more.
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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