AI provides more appropriate product recommendations than salespeople
Posted: Wed Dec 11, 2024 3:58 am
Another advanced application example of OMO (Online-Merge-Offline, virtual and real integration) is to try on clothes virtually, which can almost completely eliminate the barriers between the Internet and the physical world. As long as the virtual avatar is set according to their own appearance conditions such as height, body shape and size, consumers can immediately "try on" the clothing to see if it fits. The above-mentioned experience is not just a 2D effect, but a 3D three-dimensional presentation. Through AI algorithms and sensors, multiple photos of the product are taken to create a 3D virtual image, giving consumers the same sense of reality as if they were actually trying something on in a store.
While the shopping experience is always enjoyable, it can also be stressful list of albania whatsapp phone numbers if consumers don’t know where to start, which is exactly what an e-commerce website’s recommendation engine hopes to solve. However, without AI assistance, these engines can only display "the items viewed/purchased by the most people" or "other items viewed/purchased by people who viewed/purchased this item". Such a solution cannot present consumers with products that best meet their needs, nor can it solve the problem of "difficulty in choosing". Consumers often have only a rough idea of the product they want to buy. For example, they want to buy a "black leather jacket", but they may not have enough information or time to browse all the products in the store, especially when the product list spans physical and This is especially true when it comes to online stores. In other words, consumers have no way of knowing what information they are missing, and when they have too many choices, they may eventually give up on checking out the items in their shopping carts , causing the brand to lose these customers.
The use of recommendation engines driven by AI technology can accurately target each consumer's preferences and generate more personalized recommendations when consumers browse the website. Take black leather jackets as an example. Rather than displaying products based on overall popularity or displaying all black leather jacket styles, if a store uses an AI recommendation engine, it can prioritize the display of products that are most likely to attract a specific consumer based on their interests and behaviors. black leather jacket.
While the shopping experience is always enjoyable, it can also be stressful list of albania whatsapp phone numbers if consumers don’t know where to start, which is exactly what an e-commerce website’s recommendation engine hopes to solve. However, without AI assistance, these engines can only display "the items viewed/purchased by the most people" or "other items viewed/purchased by people who viewed/purchased this item". Such a solution cannot present consumers with products that best meet their needs, nor can it solve the problem of "difficulty in choosing". Consumers often have only a rough idea of the product they want to buy. For example, they want to buy a "black leather jacket", but they may not have enough information or time to browse all the products in the store, especially when the product list spans physical and This is especially true when it comes to online stores. In other words, consumers have no way of knowing what information they are missing, and when they have too many choices, they may eventually give up on checking out the items in their shopping carts , causing the brand to lose these customers.
The use of recommendation engines driven by AI technology can accurately target each consumer's preferences and generate more personalized recommendations when consumers browse the website. Take black leather jackets as an example. Rather than displaying products based on overall popularity or displaying all black leather jacket styles, if a store uses an AI recommendation engine, it can prioritize the display of products that are most likely to attract a specific consumer based on their interests and behaviors. black leather jacket.