Self-service kiosks, in the last few years, have transformed how customers interact with hospitality, retail, and leisure brands in particular.
They have been at the vanguard of changing customer expectations, which are increasingly geared toward digital interactions that are personalised and relevant to their needs, whether they are ordering food or checking into a hotel.
Artificial intelligence (AI) is further driving these changing expectations by giving self-service kiosks the ability to respond to conditions and deliver more tailored experiences in real time.
Businesses, then, need to ensure the kiosk technology they invest in is ready for tomorrow's capabilities.
Rewind a few years, and a kiosk’s primary purpose was to digitise a transaction that would have otherwise been handled by staff.
And while beneficial, the experience was largely the same for every user. Every customer saw the same menu and went through the same promotional journey regardless of who they were.
AI kiosk trends are changing this dynamic. These fundamentally static processes are now more adaptive, allowing businesses to move beyond standard experiences to interactions that feel more relevant than ever.
This change to intelligent self-ordering kiosks reflects the broader shift seen on websites and mobile apps. Few brands would expect a customer-facing website to remain static, and it's this principle that is being applied to self-service environments.
The role of kiosks is expanding as a result, and rather than acting solely as a digital ordering terminal, they are now seen as touchpoints in the customer journey that influence decisions and respond to customer behaviour in real time.
Traditional kiosks are reactive pieces of hardware. They are static until a customer makes a selection, but AI is introducing the ability to be proactive by considering the context that surrounds each interaction.
Picture a popular high street QSR using the AI functionality of its kiosk estate to automatically prioritise breakfast options during the morning rush hour period. Similarly, it can use weather data to promote cold drinks during warm periods or remove out-of-stock products before customers are disappointed. While these are small adjustments, they significantly improve the user experience.
As self-service kiosk software continues to be used, AI can identify patterns in customers’ behaviour and display more relevant recommendations and upsell opportunities. Rather than displaying generic offers, it can showcase, for example, a late checkout upsell to a customer who has repeatedly purchased them in the past.
The goal is to use personalisation to encourage customers to upsell themselves by presenting relevant options at the right time. Research consistently shows that customers interacting with kiosks regularly purchase 10% to 30% more than when they engage with staff members.
The way AI kiosks offer more personalised recommendations represents just one part of the broader technological shift. Voice-enabled interfaces are becoming increasingly sophisticated, allowing customers to interact with kiosks more naturally and conversationally, which creates a more intuitive experience for a wider range of users and lowers the barrier to access for this technology, so people of all ages and backgrounds can benefit from it.
Data from AI-powered cameras can help organisations understand which items are recognised and chosen most often, giving them the confidence to build entire campaigns around what sells. These cameras are able to record the data found in the moments between customers' taps, swipes, or scrolls.
Accessibility is another area where AI is driving significant improvements that go beyond increasing sales. Voice guidance, along with adaptive interfaces and language recognition tech, ensures self-service experiences can be used by customers no matter what.
As well as helping businesses remain compliant with key European legislation, notably the European Accessibility Act (EAA), it ensures technology such as kiosks are accessible to all.
In some instances, these features are still in development, but their forward momentum points toward a future where kiosks can see, hear, and learn from interactions.
Some of the most powerful applications of AI kiosks are invisible to customers. While users can enjoy a faster experience, it's operators who benefit from a deep layer of intelligence that's constantly working behind the scenes.
Every kiosk interaction generates a data set, and AI helps to synthesise and analyse each interaction to build a more complete picture of how audiences use the entire kiosk estate. Operators can gain deeper insights into which products are most frequently purchased together and which promotions have driven the required sort of engagement.
AI can also help operators avoid making unforced errors by supporting inventory management. Organisations can, at the touch of a button, align promotions with stock available so that campaigns go off without causing embarrassing missed sales opportunities.
Managing large AI self-service kiosk estates can be tricky, at best, but AI is helping organisations manage them more effectively. Predictive maintenance, for instance, can track when units need servicing and schedule repairs during quiet periods to protect reputation and revenue.
These insights are becoming increasingly valuable as kiosk networks grow across multiple locations, with the real opportunity lying in creating smarter operations.
Despite all the excitement that surrounds AI and kiosk technology, a successful deployment hinges on customer trust, which is still the most important factor in judging whether a new experience is adopted.
AI can only deliver the digital transformation it promises if it consistently provides accurate outcomes for users. Nothing will put customers off checking in or buying products from your brand more than being subjected to confusing interactions every time they use an intelligent self-ordering kiosk.
An extreme example of this can be found at the Henn na Hotel in Japan, which had to mothball over half of its 243-droid workforce due to complaints from guests about an unhelpful service that, in one instance, mistook someone snoring for a voice command, leading them to be woken in the middle of the night.
This fear of near-permanent damage to a brand’s reputation has led organisations to adopt a measured approach rather than deploying AI for the sake of it. Instead, successful organisations first focus on the areas where they can genuinely improve outcomes for customers.
The crucial takeaway is that personalisation needs to feel helpful rather than intrusive. Otherwise, a feature that’s meant to feel considerate can just as easily come across as "creepy" - today’s customers are especially mindful of their privacy, so they can quickly lose trust in a kiosk that seems to know too much about them, too soon.
That means most successful AI deployments are likely to be those that are able to balance innovation with privacy considerations like legal GDPR requirements and customer choice. The end result is a system that can make recommendations that feel timely and considerate, rather than potentially invasive.
Businesses don't need to wait until every emerging AI capability has matured before taking action. The key first step is to ensure that the investments in today’s technology can support future innovations as they become part of customer experiences.
Operators should begin by putting the foundations in place, through things like scalable hardware and cloud-connected software, so that there is a platform upon which future AI functionality can be introduced when the time is right.
A modular approach can also help to protect investments, allowing organisations to adopt new AI-adjacent features without having to replace entire kiosk estates and instead just tweak hardware and software here and there.
While individual features make a difference, it's important to consider the wider customer journey, with the most effective AI implementations being those that support clear business objectives rather than bolting on new technology for the sake of it.