PayUbiz launches Device Fingerprinting Technology to Reduce eCommerce Rewards Fraud

Relieving e-commerce merchants, of threats that have hindered optimum utilization of rewards and loyalty programs, digital payments company , PayUbiz, announces the launch of its Device Fingerprinting Technology. The technology is aimed at countering the misuse, counterfeiting, and scams in e-commerce loyalty program for customers. This technology is used to determine if the device can be trusted or not. Confirming its unbending stance on innovation in the digital payment space, PayUbiz, yet again pioneers a technology that serves the entire e-commerce industry.

Device Fingerprinting technology captures distinctive details of a user’s Internet connecting device like a computer, mobile phone, and tablet. It enables detection of fraudulent transactions without the need of acquiring personally identifiable information. This solution captures more than thirty parameters through a web browser (mobile and internet). These parameters are updated and customized to keep the technology ahead of the curve regularly. It is a powerful tool for recognizing a returning fraudster even if they use multiple identities by using different contact numbers, identities, IP Address or cookies.

Goibibo, a leading online travel portal recently incorporated Device Fingerprinting technology to prevent the same customers from making multiple bookings, misusing its gocash offers. Udaya Bhaskar Rao Mellampudi, Director of Engineering (Platforms) at Goibibo said, “PayU has significantly improved Goibibo's ability to monitor gocash promotion usage. PayUbiz device fingerprinting solution allows us to stop voucher abuse in real time without having our fraud prevention team to spend significant time and energies to catch these activities. PayUbiz has been the perfect partner for Goibibo by adding robust fraud prevention capabilities to its existing industry best payment processing platform”.

To summarize, PayUbiz’s Device fingerprinting solution allows merchants to quickly catch frauds, without having to spend significant time and energy to manually control these activities. The technology has broader applications to control fraud, not only in reward payouts but across the payment transaction cycle.