For example, an online hardware store could offer "screw length" as a dynamic filter for searching "screw", instead of the standard set of filters such as color, material, etc., which may prove less useful. AI search example Live Search suggests searches as shoppers enter text and uses AI to display the most relevant filters for each search. AI capabilities create a powerful search experience that enables.
Customers to find exactly what they are looking for, every time. Check out our offer – AI Search Engine Optimize your browsing experience While many people use the search bar, approximately 60% of shoppers prefer to use phone number list site navigation to discover the products they need. Therefore, it is important to leverage AI to deliver an advanced, personalized browsing experience that increases conversion and customer satisfaction.
Many e-commerce sellers use manual merchandising, placing products on category pages or using drag-and-drop tools to set up customer interactions. However, this approach is often static, meaning it does not adapt to individual clients or contexts. Alternatively, AI can be used to dynamically sort products for each customer based on current and past purchasing behavior on the site. For example, if a customer is looking for an iPhone, but the home page of an electronics brand is dominated by Samsung, this may lead the user to look elsewhere for information. For this reason, the content should be adapted to the user's current activities on the website and take into account his historical data.
Customers to find exactly what they are looking for, every time. Check out our offer – AI Search Engine Optimize your browsing experience While many people use the search bar, approximately 60% of shoppers prefer to use phone number list site navigation to discover the products they need. Therefore, it is important to leverage AI to deliver an advanced, personalized browsing experience that increases conversion and customer satisfaction.
Many e-commerce sellers use manual merchandising, placing products on category pages or using drag-and-drop tools to set up customer interactions. However, this approach is often static, meaning it does not adapt to individual clients or contexts. Alternatively, AI can be used to dynamically sort products for each customer based on current and past purchasing behavior on the site. For example, if a customer is looking for an iPhone, but the home page of an electronics brand is dominated by Samsung, this may lead the user to look elsewhere for information. For this reason, the content should be adapted to the user's current activities on the website and take into account his historical data.