Citibank has unveiled new ATMs for the U.S. that will ‘remember’ customer preferences and reduce the time customers spend to check balances, make deposits and withdraw cash. The new ATMs feature simplified screen flows and a cleaner, streamlined design.
“Based on extensive feedback from customers, we have reimagined the ATM experience to make it simpler and faster,” said Citi U.S. Consumer and Commercial Banking President Cece Stewart. “Citibank ATMs will now present information based on customer preferences automatically and they will enable customers to check their balances at any point without having to navigate through multiple screens. No matter how we interact with customers — at an ATM, in a branch, on a mobile device, over the phone or online — we want to deliver the best experience possible.”
Some of the new and enhanced features and design elements include:
- Quick-Touch Balance Peeks
- Remembered Preferences
- Simplified Screen Flows
- Customer Friendly Design and Tone
The new ATM features and functionality will come into place throughout the U.S by the end of February this year.
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