Empower Your Business With The Magic Of Machine Learning!

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karaiskostools.gr a  leading e-commerce  tools platform in Greece offers personalized experience to customers!

karaiskostools.gr   predicts what tools  the customer will buy. How  karaiskostools.gr a  leading e-commerce tools  platform in Greece   uses mobiplus shopping recommendation platform to offer personalized experiences to customers. Customers discover products they love and are delighted from the prediction capabilities   of the  recommender system. Customers in eshops which are not personalized have conversion rate 4% only  

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How  shopon.gr a  leading e-commerce electrical  and electronics appliances platform in Greece offers personalized experiences to customers!!

Shopon.gr   predicts what electrical appliances  the customer will buy. How  shopon.gr a  leading e-commerce electrical  and electronics appliances platform in Greece uses mobiplus shopping recommendation platform to offer personalized experiences to customers. Customers discover products they love and are delighted from the prediction capabilities   of the  recommender system. Customers in eshops which are not personalized have

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“Workshop καινοτόμες λύσεις στο e-commerce”

      Παρασκευή 12 Ιουλίου 2024 στις 10.00 π.μ Δωρεάν διαδικτυακό workshop  από τη happyonline  και  mobiplus  με συμμετοχη Mypay   Klarna   Simpler Στο  #workshophappyonline, θα εχεται την δυνατοτητα να ακουσεται για  πρωτοπόρες υπηρεσίες στο e-commerce  &  καταστηματα  με χρηση ArtificialIntellignce  , AIAgents instore και shopping personalization. Ειδικα ! Πώς το ηλεκτρονικό εμπόριο και η εξατομίκευση στο

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How  Fylliana.gr a  leading e-commerce furniture platform in Greece offers personalized experience to customers!

fylliana.gr   predicts what house, garden, office products the customer will buy. Fylliana  is a leading online furniture e-commerce platform with more than 70.000 products related to the house and uses mobiplus shopping recommendation platform to offer personalized experiences to customers. Customers discover products they love and are delighted from the prediction capabilities   of the  recommender system. Customers

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