Fashion uses big data in unique ways. We have idiosyncratic inputs (including style quizzes), distinct outputs (think of sizing preferences), and a distinctive data life cycle (such as allowing consumers to buy directly from the runway).
In all industries, access to big data is changing the ways we do business. Those of us in fashion, however, are using big data tools to create and facilitate unique kinds of predictions, empower design and merchandising decisions–and most importantly, to encourage deep interactions.
To explore this further, O’Reilly Media commissioned an in-depth report about fashion and big data in conjunction with a brand new fashion track at their hugely popular big data conference, Strata. (The next iteration of that event is being held in NYC in a couple of weeks.) Our founder, Liza Kindred, co-wrote the report along with Julie Steele, author of Beautiful Visualization and Designing Data Visualizations.
Roger Magoulas, Director of Research at O’Reilly Media, said,
We are beguiled by a key concept from this report: fashion innovators spend time listening to their customers and turning what they hear into data. The result is data that is critical to understanding what fashion consumers are interested in, how they are engaged, and what motivates them.
Included in the report are interviews with Rent the Runway, ModCloth, and Poshly; introductions to 27 different data-focused fashion tech startups, and an in-depth look at the challenges and opportunities facing fashion today.
Download the free report here.
Third Wave Fashion has been your fashion tech think tank since 2011. We publish the first ever printed fashion tech magazine, Third Wave. Follow us on Twitter or subscribe to our newsletter to stay on top of the latest in fashion tech + wearables.