By Volha Smirnova
A revolution in the world of virtual fitting rooms awaits us: a new version of the Goodstyle 2.0 application for Android and IOS users is coming to the international market.
The problem of choosing clothes in online stores is becoming more and more urgent. The wrong choice leads to a return, and therefore to costs for transport, packaging, etc. Buyers get negative experiences; sellers lose their profits.
Considering that the issue is rather time-consuming, sellers try to solve it using standard methods –they consult consumers by phone, comment on the models’ parameters in the photo, etc. Some retailers are implementing technologies of remote wardrobe fitting, which also tend to become outdated. At the same time, online sales are growing rapidly. Standard solutions are becoming less and less effective.
We have prepared an overview of the new Goodstyle virtual fitting technology. With the help of the service, the user can not only try on things virtually, but also combine items, create complete look and manage a virtual wardrobe.
In the near future, the developers are planning to optimize the interface. It will become more convenient. The mannequins will be more realistic and the pricing functionality more understandable. The user will be able to choose clothes by price range, find discount items, etc.
Goodstyle uses neural networks to quickly process and add clothes to the catalog. Another neural network is in the process of development, it will make the application more personalized. Not only parameters will be taken into account, but also the preferences of each specific user. The program will calculate and recommend images by itself. This is a new level, the level of a virtual stylist, when it is not a person who advises, but a neural network.
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After downloading, the service prompts the users to upload their photo, choose a skin color and body type.
Before fitting, the user can study the catalog of the brand he likes. Here is an example of the world famous Shein brand.
You can choose a style of clothes (street, office, sports, etc.), and then try on individual wardrobe items or ready-made looks.
After the fitting, the user can go to the online store website of a particular brand and make the purchase (directly from the application).
That’s not all. You can find clothes/shoes from the image in the Goodstyle virtual fitting room. The project partner is a B2B solution for fashion e-commerce retailers. How does it work? You need to click on the camera icon, which is located at the bottom of the screen, then select a photo from the gallery and upload an image of the wardrobe item. You can also use the image that you collected inside the application.
Now the user does not need to study the entire catalog – he can choose from the proposed options.
Goodstyle 2.0 is coming out in December. Among other things, the Goodstyle team is now focused on creating an SDK module for the b2b segment, which will be provided on the SaaS model. Retailers will be able to embed a fitting module into their websites, which will dramatically improve the shopper’s user experience by trying on items before buying and the ability to make the whole looks by combining items. Business owners will get an increase in the average check and a decrease in the burden on logistics, as the number of returns will decrease. All this will take e-commerce to a whole new level.
Volha Smirnova is CMO of Goodstyle.