An estimate of 50 million Europeans, 12% of the total population, are engaged in running as a way to stay healthy and/or to
challenge themselves and there has been a marked surge in running events all over Europe with more people running
marathons than ever before. The total consumer expenditure per year is calculated in 9.596.363.000€ in Europe. This
represents an average of 192€ per runner per year.
RunIN solves the actual problem that sporty people and vendors face when looking for information, tickets/products/
equipment or consumers respectively as there is no site of reference and it is all scattered today.. RunIN connects and
integrates different vertical services related to running, biking and triathlon through a unique, usable, social and friendly
ecosystem that allows monetizing this huge market since consumers easily find what they look for and vendors can also
RunIN will disrupt the existing sports sector by changing the current business paradigm taking into account new
opportunities arising from having an unique “Sport Identity” and stimulating under one single platform a more collaborative
and social interaction between the different stakeholders and consumers.
This innovation is made possible thanks to Big Data, Mining, Machine Learning and Business Intelligence techniques. The
information and set of services that revolve around the social layer of the ecosystem is the niche market that RunIN aims to
capitalize. With the right functionalities, athletes and companies start interacting within the RunIN ecosystem, which allows to
monetize both B2B and B2C opportunities. Thanks to the SME Instrument support (which speeds up the adequate team
growth, communication plan, technological roadmap implementation and commercialization of RunIN from 2018), the
company expects to create by 2020 over 40 high qualification jobs and generating a turnover of more than 21M€.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- social scienceseconomics and businessbusiness and managementbusiness models
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phones
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