AI provides more appropriate product recommendations than salespeople
Posted: Tue Jan 21, 2025 5:23 am
Through AI technology, corporate merchants can further integrate physical and online stores to provide a seamless shopping experience. Appier uses AI-driven solutions to integrate first-party data owned by companies, including customer interests, preferences and shopping profiles across all channels, to instantly present tailored content to consumers. In your past experience, have you ever chosen a top online and then tried it on in a store? Or are you looking for a top with a similar fit or design after trying it on in the store? With AI technology, the above situations can be easily solved. Consumers no longer need additional equipment and can enjoy the convenient experience brought by cutting-edge technology by using their smartphones.
Another advanced application example of OMO (Online-Merge-Offline, virtual and real bahrain mobile phone number list 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 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.
Another advanced application example of OMO (Online-Merge-Offline, virtual and real bahrain mobile phone number list 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 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.