
Enables merchants to deliver fast and secure solutions
CorFire, the mobile commerce arm of global payments technology provider, SK C&C USA, and Payfone, a remote mobile commerce company are collaborating to integrate CorFire’s mobile wallet application, CorPay, with Payfone’s remote mobile commerce solution (view press release). The enhanced device aims to enable merchants to deliver fast and secure solutions without risk to security or consumer experience.
“By integrating Payfone’s technology with CorFire’s mobile offerings, we streamline mobile commerce for the retailer and provide a secure channel for consumers to fully leverage mobile,” said Jon Squire, CMO of CorFire. “The process eliminates lengthy account entry and ensures the legitimate end-user is in possession of the phone where the merchant m-commerce app is installed.”
According to Juniper Research, the worldwide remote mobile digital payments market is forecasted to surpass USD 2.5 billion by 2014. However, some merchants struggle with low conversion rates due to consumer frustration with the process, which the new service aims to resolve.
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