1, convenient and quick.
Our technology is constantly developing, so we have an intelligent fitting system. This intelligent fitting system can help us try on clothes very quickly. We can try on our clothes automatically by clicking on the clothes we want to try on and then standing in the designated area, and we can also change the color of the clothes. It's easy for us to do this ourselves. It's convenient and quick to try it on when we come.
2. Save us the trouble of undressing
I think most of us like shopping, especially when we see beautiful clothes. But the process of trying on is really too troublesome. We need to undress and put on clothes back and forth, which is very uncomfortable for us, and sometimes we may accidentally rub lipstick, cosmetics and the like, which is better for us and businesses, saves us trouble, and can also clean clothes.
Disadvantages of artificial intelligence fitting system;
1, which is different from the real effect.
Although our intelligent fitting system is relatively scientific and technological, there are still some shortcomings. For example, there is a gap between our try-on effect and the real try-on effect. Our smart fitting system is not stereoscopic, and we can only see plane images, so we don't know the stereoscopic effect of our upper body, and we can only see the effect of wearing a certain dress through limited display, so this is one of the important reasons why smart fitting is not popular so far.
2, there is color difference
For the products on our machinery and equipment, the colors are often different. In other words, our different computers and mobile phones present different states for a product, because the resolution of our mobile phones is different, which leads to the color difference of the final product. So when we try on clothes on the machine, it will definitely be different from the color in real life, so this is not very good.
3. Can't analyze the characters well.
At present, the intelligent fitting system can only collect appearance data such as height, weight and body shape, and can't judge the image temperament of customers, and can't make personalized choices according to customers' occupations, preferences and life scenes. Customers just want to look better, but often don't know how to do it. Therefore, this intelligent fitting system will be relatively rigid and cannot be very flexible. Moreover, the art of dressing depends not only on what customers are now, but also on what they want to be. Only by combining our people can we fully see the effect. For example, stylists often have to make bold breakthroughs to create suitable new shapes for customers, and often use some special hairstyles and special clothing combinations to better highlight our roles, while aesthetics and inspiration are not available in current machines. This is an important shortcoming.