For fashion e-tailers, a virtual fitting experience where consumers can choose their model from a selection made by the brand allows different things:
Moreover, if these consumers can also compose their outfits directly on this model, like in a virtual fitting room, other advantages appear:
But above all, this type of experience brings another advantage for brands: it is a tool to recover unique data and improve customer knowledge.
With more customer data, it's easier for e-tailers to provide personalized, tailored experiences that meet customers' needs.
Each consumer is unique, morphologies are different and to increase conversion, customer projection and shopping cart placement, it is best to have models that they can easily identify with.
A great way for e-tailers to easily gather data on which models customers prefer could come from virtual fittings:
By letting consumers choose the models, e-tailers can receive unique insights into how users identify and project themselves.
This step is located on the product pages, a call to action "I choose my model" would be available and would allow users to choose the one that best suits them from a selection made by the brand.
As consumers can select the model they identify with the most, different uses are then relevant to use the collected data:
In a second step, it is possible to collect data from consumers' favorite clothes.
Mix&Match allows consumers to mix and match clothing to create the looks of their choice.
By allowing consumers to select the outfits of their choice, it is possible to see which outfits they prefer, which pieces are most used, which ones they imagine...
This data is valuable to the recommendation algorithms, as the choices of these pieces help to recommend more and similar clothing to consumers.
It is also an important source to compose the collection mix.
As users choose their own favorite outfits and compositions, this valuable information can then be fed back to develop the best sizes or styles for future collections.