Empower Your Business With The Magic Of Machine Learning!

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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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How to increasing revenues up to 30% in Paint, DIY & Home Improvement Industry with Artificial intelligence!

Harnessing Recommender Systems and Conversational Technology with LLMs In the dynamic world of paint, DIY & home Improvement Industry manufacturing, staying ahead of the curve requires more than just offering a wide range of colors and products. Today’s consumers expect personalized experiences and expert guidance to help them navigate the plethora of options available and achieve

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Annie Intelligent Instore Shopping Assistant with human like conversation with customers!

ChatGPT integration ! A groundbreaking addition that provides human like conversation with customers! With this innovative feature, customers entering the store can now engage in natural, conversational interactions with an AI agent to find the perfect products for their needs.  Let’s take the scenario of Lakiotis a leading Retailer in Greece specializing in tiles and

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naftemporiki live broadcast — How mobiplus shopping recommendation platform helps retail stores and ecommerce increase revenues up to 30% !

      Watch the live broadcast below by naftemporiki, in Greek, and learn how you can increase revenues by 30% in your stores or e-shop. Why Amazon started using recommender systems. Why Netflix, facebook, TikTok use recommenders. How small, medium and large retail stores and e-commerce benefit from Recommendation engineering. How your e-shop and store can

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