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As digital transactions become the definitive method of purchasing goods and services, leading eCommerce firms are exploring how AI can enhance brand competitiveness and customer loyalty. Artificial Intelligence is set to be a game-changer to shape the next stage of the e-commerce evolution. Artificial intelligence provides passel of opportunities to the e-commerce industry where retailers compete to provide the maximum customer convenience, by providing the ultimate shopping experience. With continuous advances in digital voice technology, AI tools such as Alexa, Cortana, and Watson, are gracing headlines almost daily, hinting at the wide scope of opportunities it has to revolutionize eCommerce stores. Here we show 6 amazing applications to use Artificial Intelligence in eCommerce. * Create customer-centric search- By implementing Artificial intelligence in Magento creates purchase assistants that target the right users, with the right messages at the right time.AI programs can rely on self-learning algorithms to deconstruct Bigdata of thousands of customers and create targeted user experiences, hence ruling out any human-bias or error. * Context-based search- Product Search functionality is an integral part of a Magento store as the shopping process begins with the search for relevant products. If Magento individualizes some impressive extensions, they might be nothing as compared to the effectiveness of AI-powered searches. Here usual searches rely on the Keywords entered by the user and only when there is a correct match, your searches will dish out the right search results. But AI-powered product searches will look for the context of the search, utilize the capability of Natural Language Process to generate context-based search terms rather than typical keywords. * Facilitate Purchase Decisions- Purchase Assistants are something that is still not fully released. Using the concept of virtual Purchase assistant we can cut down the time spent by shoppers

Are you confused about the difference between Artificial Intelligence (AI) and Machine Learning (ML)? You're not alone! AI and ML are two of the most talked-about topics in technology today, but it can be hard to understand what sets them apart. Let's take a closer look at how these two powerful tools work together. AI and ML are both types of technology that enable computers to make decisions or take actions without direct programming. AI uses data-driven algorithms to solve complex problems, while ML uses algorithms to train computers to find patterns in data and improve performance over time. AI can be used to make predictions based on a set of given parameters. For example, AI is often used to predict the stock market or weather forecasts. On the other hand, ML allows machines to learn from experience and improve their decision making with minimal human intervention. This means that ML systems are able to process large amounts of data quickly and accurately identify patterns or trends which may not have been noticeable before.

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Conduttori: Secondo le statistiche, quasi una persona su cinque soffre di una malattia fungina ai piedi e alle unghie. Le cause di questi disturbi sono diverse, da un sistema immunitario indebolito a scarpe che non sono adatte ai vostri piedi.

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