CASE STUDY
Founded in 2009 , Getaround has emerged as a leading carsharing platform in Europe , spanning over 1,000 towns and cities across eight countries . The platform offers on-demand mobility solutions , aiming to revolutionise car usage by making sharing more efficient than owning . This reduces the number of vehicles on the road as well as aligns with the company ’ s commitment to promoting sustainable forms of mobility .
The challenge
Getaround confronted a significant challenge as users with flagged fraudulent activities sometimes managed to re-join the platform under new identities , evading existing alert systems . This posed a threat to the platform ’ s integrity and necessitated a robust solution to enhance fraud detection .
The solution
Using Onfido ’ s game-changing ‘ Known Faces ’ solution , Getaround was able to identify users with previous fraudulent flags . This innovative feature allowed the platform to discern between legitimate users with modified details and those attempting to return with entirely new identities . Seamless integration of Onfido ’ s Document Check and Motion solutions allowed for faster and more secure user verification and further fortified the entire verification process .
The results
The integration of Onfido into Getaround ’ s workflows was swift , requiring only one week within the existing setup . The impact was immediate , with fraudulent users being detected more efficiently .
THE HEIGHTENED SECURITY
MEASURES NOT ONLY SAFEGUARDS
THE PLATFORM BUT ALSO
ATTRACTS NEW CUSTOMERS WHO
PRIORITISE SAFETY .
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