Expanding to thirty new countries
The expansion will enable merchants in around thirty countries to access Braintree’s payment platform for online and mobile commerce (view press release). The services will be offered in private beta over the next few months and will be officially rolled out in Q3 of this year. Braintree claims its expansion will help merchants outside of the US to grow their businesses by providing updated technology for online payments as opposed to the payment options provided by local processors which often use outdated legacy platforms.
“We’re answering the call of our customers and thousands of start-ups around the world for a truly global online and mobile payments solution,” said Braintree CEO, Bill Ready. “We will help e-commerce businesses and startups around the world launch, support, and scale successful businesses while giving our existing US customers new ways to expand overseas.”
Braintree currently processes around USD4 billion in credit card transactions each year, including USD1 billion in mobile payments.
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
