PrestaShop, provider of open-Source e-commerce solutions, is partnering with Allied Wallet, an online payment processing company, in a bid to integrate the two companies’ existing systems (view press release). The integration is to enable Prestashop to accept and process all types of online payments from customers. Allied Wallet’s module, which can be integrated with PrestaShop, is available for free and can be seamlessly integrated with online stores. Online merchants will also have access to Allied Wallet services, such as 24/7 merchant and customer support, PCI DSS levels one compliance and the ability to process around 160 currencies. With the integration customers will also be able to make payments through a eWallet service.
Matt Serralta, CEO at PrestaShop says, “By using Allied Wallet, merchants can rest comfortably knowing they can process just about any form of payment at a competitive rate. Not only will e-merchants benefit from the versatile payment solutions the free Allied Wallet module provides, they will also be afforded piece of mind that each payment is backed by advanced protection services.”
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