Partnering for payment offering
WorldPay, a payment processor, and UATP, the low cost payment network owned by airlines, are partnering to enable airline and travel merchants to access UATP through WorldPay (view press release). The partnership will enable airlines and travel agency merchants to offer UATP as a form of payment. It will also provide UATP customers with access to an integrated payment gateway with around 200 alternative payment types. The integration with UATP and WorldPay fully supports Airline Level III data, enabling card issuers to provide card holders with detailed information on the travel purchased. This provides increased reporting for airline and travel merchants via the WorldPay API.
“WorldPay strives to offer its merchants the broadest range of alternative payment options,” said Philip McGriskin, chief product officer of WorldPay. “This partnership with UATP represents this commitment and understanding that UATP is an industry preferred payment method, and the benefits it offers airline and travel merchants. Merchants should be able to use one single integrated gateway regardless of payment choice, and this partnership makes this possible for UATP purchases.”
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
