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FashionBrain SIGNED

Understanding Europe’s Fashion Data Universe

Total Cost €

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EC-Contrib. €

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Partnership

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 FashionBrain project word cloud

Explore the words cloud of the FashionBrain project. It provides you a very rough idea of what is the project "FashionBrain" about.

primary    position    demand    fashion    data    competitors    retailers    industry    customers    gains    understand    technologies    world    customer   

Project "FashionBrain" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF SHEFFIELD 

Organization address
address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN
website: www.shef.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 2˙894˙448 €
 EC max contribution 1˙699˙323 € (59%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-1
 Funding Scheme /IA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2019-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) coordinator 419˙381.00
2    BEUTH-HOCHSCHULE FUER TECHNIK BERLIN DE (BERLIN) participant 591˙667.00
3    MONETDB SOLUTIONS B.V. NL (ALMERE) participant 355˙250.00
4    ZALANDO SE DE (BERLIN) participant 333˙025.00
5    FASHWELL AG CH (ZURICH) participant 0.00
6    UNIVERSITE DE FRIBOURG CH (FRIBOURG) participant 0.00

Mappa

 Project 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.

 Work performed, outcomes and results:  advancements report(s) 

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The information about "FASHIONBRAIN" are provided by the European Opendata Portal: CORDIS opendata.

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