Basic filtering, as described above, with additional possibility of filtering products displayed in the recommendation frame based on their profit margin, brand or other attributes available on the product feed.
The use of artificial intelligence algorithms and machine learning.
Unlimited access to the Case Study and Best Pracitice database.
Updating a product catalogue every 24 hours.
Possibility of taking part in BETA tests of new products prepared by a team of dedicated developers. Communication takes place directly with the QuarticOn Product Owner and relates to the exchange of experiences and opinions as well as preferential conditions for using new functionalities.
API interface integration thanks to which the user connects their server or service with QuarticOn and can send data between them.
Possibility of providing a product catalogue as an XML file (Google Merchant recommended) or implementing it with the use of crawler that is automatically triggered by QuarticOn.
Technical team support available 24/7.
Support and contact from a dedicated Customer Success Manager.
Possibility to submit technical queries via chat.
