Banking and FinanceIssue 01 - 2024MAGAZINE
GBO_ AI ATM Revolution

ATM Revolution in AI era

Instead of using monolithic structures, modern ATM architecture takes a layered approach that is organised into an integrated ATM system

ATMs have developed into essential self-service financial channels that provide a wide range of services, including deposits, from simple cash-issuing machines. To give clients a more engaging, omnichannel digital experience, the architecture and software that drive these devices must be reevaluated as the banking industry moves toward a more digital, customer-centric paradigm.

Overcoming the digital divide

Financial institutions use self-service channels to reduce operating costs and provide their customers with a better, omnichannel digital experience. Their goal is to offer clients a smooth experience by combining digital and physical elements at different touchpoints. To do this, attention must be paid to the underlying architecture as well as software solutions.

Robust software solutions are required for advanced features, ranging from basic transfers and deposits to more creative services like cardless withdrawals. Software adaptation is critical for banks as new digital channels and evolving client demands arise. An innovative software system should also proactively identify any operational problems.

Equally important is the underlying architecture that powers these software solutions. Instead of using monolithic structures, modern ATM architecture takes a layered approach that is organised into an integrated ATM system. With other entities like other channels or transaction processing layers, this links more successfully.

An improved architecture can lay the groundwork for the banking of the future by supporting a broad range of digital channels, cutting-edge technology, and even sophisticated hardware devices. Additionally, it gives banks the ability to continue providing services and adjust to the changing demands and preferences of their clientele.

ATM as a Service (ATMaaS)

The introduction of ATM as a Service (ATMaaS) is radically altering the way banks see and handle their automated teller machines.

Financial institutions can delegate the complexity of owning, running, and maintaining ATMs to specialised third-party suppliers rather than doing these duties themselves. Banks receive the guarantee of well-functioning ATMs in exchange for the absence of related operational difficulties.

Reductions in procurement, maintenance, security, and software upgrade expenses are another benefit of outsourcing to experts, who can also quickly adjust to shifting market demands and technical improvements. Banks can then concentrate on their primary banking duties. Enhanced efficiency, decreased overhead, and a more streamlined operational model are the end outcomes.

Flexibility is key

Because the future is uncertain, banks must be adaptable. An updated design should be able to run on any vendor’s hardware, given the abundance of hardware vendors on the market. Banks must adopt this hardware-agnostic strategy to benefit from their current infrastructure expenditures and have the flexibility to incorporate new technology.

The importance of having infrastructure and software for automated teller machines that seamlessly match present and future requirements cannot be overemphasised. Moreover, ATM pooling programmes offer chances for financial institutions to cooperate to maximise ATM networks, reduce expenses, and enhance service accessibility and availability.

Banks can sustain widespread cash services more effectively and economically by pooling resources and using shared/outsourced services. ATM pooling also makes it possible to investigate cutting-edge service options that can improve client loyalty and satisfaction, like interactions through mobile devices and enhanced bill payment features.

Next-generation ATM technology needs to be put in place to get more people to use them, keep self-service and branch channels open in our communities, and lower the cost per transaction. There should also be creative ideas for future bank branches and ATM pooling.

Furthermore, banks can build a completely new channel and an upgraded client experience by combining assisted and remote banking choices through video, co-browsing, and conversational AI with smart self-service terminals that are integrated with additional services. A bank branch can become a low-cost, high-function local hub for financial services and other offerings through this transformation.

AI in ATMaaS

A growing number of Americans are becoming unbanked and establishing more banking deserts around the nation, which is a danger to financial inclusion even though many are worried about an impending recession.

Although the number of banking deserts has been rising for some time, COVID-19 made the trend more noticeable and altered how consumers interact with financial institutions. Concern over the potential further danger to access to financial services and cash is developing as we approach what many believe will be a recessionary situation.

Despite the alarming nature of these trends, research commissioned by Diebold Nixdorf clarifies how automation and technological advancements can counteract them while simultaneously catering to the evolving expectations and preferences of consumers regarding financial institutions and ATM operations.

According to the poll, one in five millennials and Gen Xers learnt about a financial institution’s products or services through an ATM, and cash consumption is expected to stay high in 2022. ATMs are also known to be important tools for acquiring new customers and keeping existing ones.

Financial institutions are now focusing on technology-based approaches that enable them to close fewer branches while simultaneously operating with fewer employees and adjusting to changing customer preferences.

Maintaining ATMs is more crucial than ever, and developments in artificial intelligence are opening up new possibilities for ATM repair and maintenance.

When ATMs are truly Internet-of-Things machines, comprehensive technical data may be continuously gathered from sensors and data points, and machine learning can be used to analyse the data inside cloud computing platforms.

This can aid in the identification and tracking of the device lifecycles, as well as the creation of an accurate personality profile for every device that is used in the field.

As a result, when a device malfunctions, the most likely reason for the occurrence can be found automatically in a matter of seconds, negating the need to send a specialist to the location to identify the issue. It is possible to receive an automatic recommendation for the exact repair, the technician’s degree of expertise and experience needed, the replacement parts required, and the estimated time of completion for the repair. Repairs can therefore be more efficiently scheduled and finished more quickly.

The transition from a reactive to a predictive service model, where accidents can be prevented, can also be made possible by an AI-driven strategy. Impending failures can be detected by studying data patterns, trends, leading indicators, and other important data points. This allows maintenance tasks to be scheduled during periods of low consumer usage, preventing unplanned future outages and maximising device uptime.

When choosing their primary financial institution, people consider ATMs as the second most important factor. In 2022, there was a notable surge in monthly ATM withdrawals, indicating a renewed emphasis on cash accessibility.

There may be room to move even more transactions to self-service as over 40% of customers still use tellers for straightforward transactions. Branch employees will be able to concentrate on higher-value customer interactions and experiences thanks to this move, which will increase operating efficiencies.

Financial institutions that strategically integrate AI technology into their ATM fleets can guarantee they are offering their clients the greatest services available at a time when being “always on” is essential to a bank’s success.

Improved ATM functionality will allow existing ATMs to continue operating and will also present a chance to reduce startup costs for new ATM operations in places where cash availability is severely limited.

Financial organisations now have the technology to more effectively recommend fixes for issues that could jeopardise ATM operations thanks to artificial intelligence. By cutting down on ATM failure rates, they will be in a better position to deal with the issues that today’s consumers face, address worries about financial inclusion, and offer a service that will continue to grow and adapt as long as the economy does.

Banks need to keep up with the times and innovate to meet rising client demands. Techniques like ATM sharing present chances for cooperation, financial savings, and improved services.

To meet and even surpass client expectations, banking will need to make creative use of technology. In addition to being advantageous, adopting models like ATM Pooling, ATMaaS, Branches for the Future, and software solutions made expressly for managing ATM networks, along with a software architecture that facilitates the quick rollout of new features and functions, is essential for organisations hoping to stay relevant and competitive in the digital era.

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