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    Top 5 Ways AI Is Revolutionizing The Online-Shopping/E-Commerce Trends

    Lakisha DavisBy Lakisha DavisFebruary 3, 2022Updated:February 3, 2022
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    Online-Shopping/E-Commerce Trends
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    The future is here and it’s not just robots and flying cars. We are living in the age of artificial intelligence. It has become a reality that has affected our day-to-day lives, whether we have realized it or not. Artificial intelligence has changed the way we shop online as well. From quicker search results to more personalized recommendations, AI helps us find what we need faster than ever before.

    In this article, we will take a look at the ways in which artificial intelligence is changing the way we shop online. We will also see how it has made our lives easier and better.

    1. Personalized Search Results

    Search engines have been using AI for years to improve search results. Google, for example, uses AI to analyze and interpret search queries. Then it provides users with the most relevant results. Google’s RankBrain is a machine-learning artificial intelligence system that is used to process search queries.

    It uses machine learning to predict which words are most likely to show up in a search query and then adjusts the rankings and if the search is related to shopping, Google understands and provide the results accordingly.

    2. Product Recommendations

    AI can also be used to provide product recommendations. In this case, the AI is not making a decision on the spot.  Instead, it is recommending which products to offer based on what it knows about the customer.

    A common example of this type of AI is Amazon’s “Customers who bought this item also bought” feature. This feature allows Amazon to recommend products that are likely to be of interest to the customer.

    Another example is Netflix’s movie recommendations.  This feature allows Netflix to recommend movies that are likely to be of interest to the customer.

    3. Machine Learning

    Machine learning is a type of AI that allows computers to learn without being explicitly programmed.  In other words, the computer can make decisions based on what it has learned from previous experience.

    Machine learning is also called “unsupervised learning” because the computer is not given any specific instructions about what to learn.  Instead, it must find patterns in the data on its own.

    4. Natural Language Processing

    Natural language processing (NLP) is a type of AI that allows computers to understand human language.  In other words, the computer can process text and speech in a way that is similar to how humans do it.

    Natural language processing is also called “supervised learning” because the computer is given specific instructions on how to process the text.  The computer can then process other texts that are similar to the ones it was given.

    Sometimes customers search big queries on online marketplaces this technology helps to identify what exactly a customer wants.

    5. Computer Vision

    Computer vision is a type of AI that allows computers to understand images.  This can be done by either giving the computer a set of rules to follow or by feeding it thousands of images and letting it learn from them.

    The most common application of computer vision is in self-driving cars.  The computers are able to understand the images from the cameras and use that information to drive the car.

    This feature will also be implemented on the products so the AI knows if the customer likes to shop for one particular product, they’ll most likely be buying the computer recommended product as well considering the color, cost and size of the product including other variables that the computer vision can detect about the product.

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    Lakisha Davis

      Lakisha Davis is a tech enthusiast with a passion for innovation and digital transformation. With her extensive knowledge in software development and a keen interest in emerging tech trends, Lakisha strives to make technology accessible and understandable to everyone.

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