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Understanding Europe’s Fashion Data Universe

Objective

The primary goal of each retailer is to “understand your customers”. Our interviews with retailers show a primary demand from the retail industry for predicting a customer's next demand. Surprisingly , even a complete record of past purchases (and returns) is not sufficient to understand how items in a company's catalog do or do not connect with the customer's general tastes, lifestyle and aspirations. Moverover, from a business perspective, any efficiency gains in the logistics of supplier management, shipping and handling are rather minor, compared to the gains one could obtain from a better understanding of the customers’ personalities and habits. Given that the customer demands trigger proactive stocking and fashion production, this appears as a logical consequence.
In this project, we want to consolidate and extend existing European technologies in the area of database management, data mining, machine learning, image processing, information retrieval, and crowdsourcing to strengthen the positions of European fashion retailers among their world-wide competitors. Our choice for the fashion sector is a concise one: i) as a multi-billion euro industry, the fashion sector is extremely important for the European economy; ii) Europe already has a solid position in the world fashion stage, however, to maintain its position and keep up with the competitors, European fashion industry needs the help of advanced technology; and iii) European fashion industry provides an excellent exercise for new technologies, because it is a multi-sectorial by itself (i.e., imposes challenging data integration issues), it has a short life-cycle (i.e., requires timely reaction to the current events) and it involves diverse languages and cultures.
The main outcome of the FashionBrain project is the improvement of the fashion industry value chain obtained thanks to the creation of novel on-line shopping experiences, the detection of influencers, and the prediction of upcoming fashion trends. Tangible outcomes will include software, demonstrators, and novel algorithms for a data-driven fashion industry.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /natural sciences/computer and information sciences/data science/data mining

Call for proposal

H2020-ICT-2016-1
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

THE UNIVERSITY OF SHEFFIELD
Address
Firth Court Western Bank
S10 2TN Sheffield
United Kingdom
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 419 381,25

Participants (5)

BEUTH-HOCHSCHULE FUER TECHNIK BERLIN
Germany
EU contribution
€ 591 667,50
Address
Luxemburger Strasse 10
13353 Berlin
Activity type
Higher or Secondary Education Establishments
UNIVERSITE DE FRIBOURG
Switzerland
EU contribution
€ 0
Address
Avenue De L Europe 20
1700 Fribourg
Activity type
Higher or Secondary Education Establishments
ZALANDO SE
Germany
EU contribution
€ 333 025
Address
Valeska-gert-strasse 5
10243 Berlin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
FASHWELL AG

Participation ended

Switzerland
EU contribution
€ 0
Address
Stafaccherstrasse 106
8004 Zurich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
MONETDB SOLUTIONS BV
Netherlands
EU contribution
€ 355 250
Address
Science Park 106 Gebouw Matrix Vii
1098 XG Amsterdam
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)