Banking

Navigating the Future: ACI’s ATM Transaction Processing Trends

Banking

Real-Time Payments Have Gone Mainstream – Explore Their Global Impact

Banking

ISO 20022 – Expanding like no tomorrow

Merchants

Pay with my hand? No way!

Merchants

5 Ways Optimizing Reconciliation Boosts Merchants’  Financial Health

Every merchant must reconcile transactions, but not every reconciliation tool is the same. Outdated back-end platforms can result in merchants missing out on multiple performance gains, while an automated, orchestrated approach can put their business out in front.

Merchants

Are you Coordinating or Orchestrating Payments?

Online payments are very complex, with multiple channels, payment types, processors, service providers, unique fraud and regulations that vary in every country. In-store complexities are even greater, with payment stacks often growing organically or through acquisitions instead of strategically.

A digital graphic of the globe, there are connecting lines to various different locations showing the digital sharing of information.

Merchants

The Complete Guide to Merchant Payments Orchestration

Payments orchestration platforms typically provide businesses with a single place to monitor and manage multiple payment systems, payment providers and multiple payment methods, allowing merchants to offer customers a wider range of payment options, while simplifying the payment process on the back end.

Merchants

The Rise of 3Rs: Resilient Consumers, Retailing Convenience and Rise of Wallets

The first quarter of the year has been exciting for merchants, globally. While ACI’s recap for the 2022 holiday season indicated strong consumer optimism, despite economic headwinds, consumers remained headstrong through the first quarter of 2023. Higher consumer confidence could be seen in the 18 percent increase in transaction volumes, compounded by a 24 percent growth in transaction values.

Merchants

Unlock Benefits of Shared Intelligence to Fight Back Against Fraud in 2023

Banks and merchants must find ways to fill gaps in each other’s transaction intelligence to reverse trends around ever-growing fraud, and global payment partners hold the key.

payment checkout successful

Merchants

Accelerating Commerce With Payment Links

When it comes to contactless ways to pay, customer expectations are shifting, and merchants are adapting to a digital world in which the payment experience is faster and more convenient than ever.

Prime Time for Real-Time

Global Payment Trends
As the world adopts real-time payments, how does your market stand to benefit?

Merchants

Decrypting Crypto: Staying Safe With Crypto Payments

As cryptocurrency payments in the merchant sector become more established, and merchants consider offering crypto as a way to pay, they will also be asking themselves if transactions are secure enough for everyday payments.

Merchants

New Experiences Driven by QR Codes

The use of QR codes for payments has made a giant leap forward over the past couple of years.

Merchants

Making Your Mobile App More Engaging

The mobile app market is predicted to generate up to USD $950 billion by 2023. Merchants must have a mobile app to take full advantage of this growth, but so does everyone else.

Retail POS Card

Merchants

Meet the True Enabler of Omni-Commerce

In a previous blog post, we talked about how you can share merchant tokens without worrying about PCI compliance. We closed that discussion with the promise to detail the many reasons you would share merchant tokens.

Merchants

Decrypting Crypto: Nakamoto’s Bitcoin Vision and What it Means Today for Merchants

The first online cryptocurrency transaction was recorded on May 22, 2010 – 10,000 Bitcoin for two pizzas. Worth $41 dollars at that time, those “coins” are now worth tens of millions of dollars. Since then, cryptocurrencies and digital currencies have come a long way.

Particle of digital data and numbers code

Merchants

Incremental Learning: The Real-Time Hero Taking on Fraud

In the fast-moving world of merchant fraud, we can no longer rely on the past to predict the future. The speed and scale of change is such that traditional machine learning (ML) methods, which analyze historical fraud trends, can’t keep up.