I have been using AI dress changer for my store for a few months now, and in my opinion, it is worth checking out. The technology behind FitRoom is truly impressive. It uses machine learning algorithms to accurately determine how clothes will fit on a person based on their photo. This is not just a virtual try-on like in older systems, where you could only imagine how a thing would look from a picture. Here, the system analyzes body proportions, adjusts clothes based on all parameters, including height, weight, body type, and even fabric style. In terms of accuracy, in my opinion, FitRoom is one of the most advanced tools on the market. Unlike older systems, it really takes into account the smallest details. For example, the system can accurately take into account how a thing will fit a person with a non-standard figure or certain features. This is especially important for stores that sell a wide range of clothes – from tight dresses to loose jeans. Because FitRoom takes material type into account, it can more accurately represent how the fabric will fit on the body, which is critical, especially for difficult fabrics like corduroy or heavy denim.

Sounds very interesting! I am just starting to develop my online clothing store and I am also thinking about implementing such technologies. What do you think, if the assortment is not too large, is it worth investing in FitRoom? Or are there any more budget-friendly alternatives for small stores?

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