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Sumaiya Khatun
May 12, 2022
In Welcome to the Q&A Forum
Also read: A convincing product description Special Database for your web shop in 10 steps 2. Contextual Search Results One of the most obvious uses for machine learning is to personalize search results in the web shop based on the visitor's behavior. Currently, the search of most web shops works on the basis of an algorithm that simply Special Database matches the entered keywords with the product title or description. A better way of matching the results can be achieved by also looking at the context. An example of contextual search is if a visitor has purchased Nike sneakers and shirts several times. If this visitor then searches for 'shorts' in the Special Database web shop, it is probably better for the conversion to show Nike shorts that are closer to the customer's taste. This instead of the general results you Special Database would normally have gotten. A huge number of these kinds of patterns and variables can influence the conversion from the search. With machine learning, the Special Database computer itself looks for these connections and constantly adjusts the results to achieve the best result. If you have a Woo Commerce or Magento web shop yourself, you can take a look at the implementation of services such as Fancify . These platforms help you make your webs hop search more relevant with contextual search. 3. Targeted user experience With artificial intelligence you can also provide a targeted user experience, in which the visitor is more central. You can use this to adapt the content of your webs hop to Special Database the visitor behavior. Examples of this are, for example, showing Special Database more relevant products to your customers based on their previous purchasing behavior. In addition, with machine learning you can look for invisible patterns that better classify the intent of your customers. This way you can better segment and target customers. Does the Special Database computer estimate the chance that your visitor wants to leave the website and is mainly 'price' shopping? Then you can, for example, show a targeted exit-intent pop-up with a discount code or free shipping to the visitor to keep them inside. For example, some useful platforms that provide personalization services for Woo Commerce, Magento, or Shopify are Personalization and Megabit . 4. Image/Voice/Text Search Special Database Machine learning allows us to better interpret text, images and sound.
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Sumaiya Khatun

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