Early fraud prevention and avoidance
Early fraud prevention and avoidance
Recognize irregular payment behaviour
The usual risk management instruments are ineffective as they evaluate risks only for existing consumers. As the names and addresses of the fraudulent accounts are unknown the risk can only be identified subsequently when the goods are delivered but not paid. We offer you the most innnovative tools in order to avoid fraudulent orders.
Protect your business from fraud
Together with the renowned German Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Arvato Financial Solutions developed a process for the automated and early recognition of significantly conspicuous orders.
A quick, low-cost and efficient alternative to reducing your risk is the use of return-debit prevention pool (RPP) of infoscore Consumer Data GmbH (ICD). Furthermore, information on nearly 300,000 public bank details is available, e.g. from charitable organisations, public offices, clubs, associations and other public institutions. Thus, the RPP also prevents such bank details from being used with intent to fraud.
eMailCheck of Arvato Financial Solutions is the highly innovative solution for the quality check of email addresses. It goes far beyond conventional syntax and existence checks and allows a selective assessment of 100 % of all email addresses. This processidentifies, if orders are placed by a "fake buyer" using unusual or suspicious names.
Depending on the product categories up to 40 percent of the payment defaults in an online shop can be fraudulent. arvato Financial Solutions offer the suitable solutions to this problem.
Protect your online business from fraudulents orders
Minimisation of debt losses suspected of being fraudulent by means of
Early recognition of highly conspicuous ordering patterns.
Improving the quality of your data by identifying invalid or implausible information on a banking connection.
Avoiding chargebacks by rejecting banking connections with open chargebacks.
Avoiding multiple damages from fraudsters who are active throughout the entire sector.
Protecting from 'fake buyers" by identifying dubious names.