Empower Your Business With The Magic Of Machine Learning!

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How to increase your revenues by 30% in store and e-commerce video with naftemporiki…

Mobiplus recommendation platform enables e-commerce businesses and retail stores to move in the next era of shopping using Artificial Intelligence and shopping data! Personalization is the central component of the new era where businesses predict what the customer will buy, inform them and bring them to the physical or online store to make the purchase.Personalization

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How Undergroundshop     moves in the next era of shopping by offering new experiences to consumers in store and e-commerce?

Mobiplus recommendation platform enables Undergrounshop  to move in the next era of shopping using Artificial Intelligence and shopping data! Personalization is the central component of the new era where businesses predict what the customer will buy, inform them and bring them to the physical or online store to make the purchase.Personalization increases conversion rate and

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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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