So many fashion weeks…
Have you checked out the Tblisi fashion week? – you might ask us – It’s going to be from October 18th to 21st!
to put the question into perspective please just consider that there are over 140 fashion weeks around the world every year in more than 50 countries.
We like data and we love to do qualitative research but there is only so much time – both for humans and computers.
We, of course, noticed this need a long time ago and constantly strive to make it easy for our customers (and for us) to simplify, aggregate and understand complexity in order to show the unexpected, the details that may escape the eye but in fact emerge from a more global understanding of the data.
We are now delighted to present a first evolution of something we already had the occasion of showing: It all started with an intriguing application to help understand trends in Australian maternity wear, then it evolved.
Our style model now looks at all fashion weeks around the world, analyzes the images and extracts styles, fabrics, patterns and colors.
Imagine; every single fashion week, every brand and every catwalk, understood and organized almost in real time.
It’s beautiful stats… just like with football!
We made a tool to make sense of the flood of information and to refine what your eye can and should notice.
Also, it integrates perfectly with our trend forecasting tools: what style will rise or decline? Which brands show a positive trend?
The next natural step is to compare real time trends, match models and create the most effective outfit possible, one that fits the data and your style.
Of course, if you are in the industry you already have tools and the know-how; imagine boosting your working process it with a synoptic table, alerts and much more…
Let’s look at a concrete example: the Paris SS19 Fashion week. It was a couple of weeks ago. These are the bare facts extracted by our trained neural network:
1. MINIMAL – Ever since we started monitoring Minimal’s popularity, we have noticed the seasonality of the style, being more evident during Autumn/Winter fashion seasons than during Spring/Summer. This difference was very clear until the PFW SS2016. After that, the style has been appearing less but with a more balanced proportion considering Fall Winter and Spring Summer collections.
2. 80s and 90s RELOADED – Ever since the “80s and 90s Reloaded” reached their lowest points in the AW2017, they have been sustained risers, especially over the latest PFW when they reached their highest levels. It probably correlates to Generation Z that becoming the newest target for high fashion brands.
3. LACE – Lace continues to be one of the top correlated fabric/pattern in almost all of the analyzed fashion shows even though it has reached its lowest levels during the latest Paris Fashion Week.
4. GREEN AND EARTH TONES – These colors’ popularity have been rising over the past two fashion weeks in Paris.
This is the just tip of the iceberg of what can be achieved and explored using fashion computer model!?
Do you have any ideas you would like us to explore?.