
Partnering with iPayment
ROAM, an Ingenico company and mobile commerce platform provider, and iPayment, an acquirer, are launching a new programme which will see iPayment using ROAM’s mobile commerce platform to deliver mPOS solutions to merchants throughout the US (view press release). ROAM will provide an end-to-end solution, including the G4X Secure Mobile Card Reader, ROAMpay X4 Mobile POS Application and the myROAM management portal.
“Our merchants and sales partners rely on iPayment to provide best in class mPOS solutions to position them for continued growth in their respective businesses,” says Carl Grimstad, CEO of iPayment. “We partnered with Roam because they understand that each of our small business merchants has unique payment requirements, and that one solution does not fit all.”
ROAM’s platform capabilities support iOS and Android based smartphones and tablets. Its core platform assets include secure readers, applications to support mobile card acceptance, PCI compliance, real time data exchange and merchant onboarding, all of which are available as turnkey solutions that can be deployed as complete white label solutions offering branded hardware, applications and support tools.
Whitepapers
Related reading
Central banks best suited to issue digital currencies
By Aaran Fronda A recent report by the Official Monetary and Financial Institutions Forum (OMFIF) said that central banks rather than private ... read more
Instant payments: innovations inbound for corporates
In 2020, instant payments look set to continue their current trajectory to become the biggest trend in payments. While these schemes already offer numerous benefits to corporates, leveraging innovations such as APIs and request to pay will go some way to unlocking their full potential, argues Michael Knetsch
Obstacles exist for banks to meet ECB’s instant payments goal
The cost of joining instant payment platforms will be one of many hurdles banks and payment services providers must overcome to meet ... read more
Banks must be aware of “biases” in data used to train ML models
Financial institutions need to be conscious of biases in the historical data that is being used to train machine learning (ML) models, ... read more