Hotel chatbots are revolutionizing the way hospitality businesses connect with guests. Generative AI is already able to craft tailored itineraries in seconds, signaling big advancements for how the hotel industry approaches customer interactions.
While the big promises and hype of generative AI are focused on guest-facing tools, there is much to be said about the back-end efficiencies it can create.
In this article, we explore what hotel chatbots are, how they are changing the guest experience from booking to check-out, and some best practices for adopting these tools.
What Are Hotel Chatbots, and How Do They Work?
A hotel chatbot is a system driven by artificial intelligence (AI) that is designed to interact with guests or staff through natural conversation. There are several use cases for hotel chatbots throughout the guest journey, and they are often implemented with the aim of automating repetitive interactions to reduce pressure on staff and offer guests immediate support around the clock.
Typical tasks that a hotel chatbot can handle include:
- Managing reservations and booking modifications
- Answering FAQs about check-in, check-out, or amenities
- Providing directions, restaurant suggestions, and local recommendations
- Upselling room upgrades, packages, or services
- Assisting with loyalty program queries and onboarding
- Handling simple troubleshooting (e.g., Wi-Fi issues, password resets)
- Collecting guest feedback through quick surveys.
The technology behind these systems varies. Some chatbots are based on simple scripts and are equipped to answer frequently asked questions or help guests with reservations with predefined responses.
More advanced models are based on natural language processing (NLP), which means that guests can go rogue with their queries, as the chatbot can pick up on more nuance in inputs. Here, the outputs can consider information outside a preset script and handle more complex tasks, such as offering tailored recommendations or troubleshooting booking issues.
Why Do Hotel Chatbots Matter?
With diverse applications, hotel chatbots are unlocking value for hospitality operators, especially when it comes to meeting guest expectations and operational efficiency.
Operational Efficiency
Hotel chatbots are able to perform many repetitive tasks, such as answering simple questions from guests, which results in improved operational efficiency. Much of the motivation to invest in AI tools such as NLP hotel chatbots comes precisely from the promise of being able to, through automation, either reduce the amount of staff hours in the name of cost savings, or to allow humans to handle more complex, higher-value tasks.
Labor shortages and a lack of skilled workforce are continuing challenges for the hotel sector that relies on delivering service quality to customers. Hotel chatbots are, therefore, not just a novelty, but can help ameliorate a structural issue that poses an economic risk to the sector.
Guest Experience
Interacting with conversational AI such as NLP chatbots is increasingly common in the booking phase, with 37% of travelers using AI tools such as ChatGPT to plan trips. The appeal is understandable, with AI being able to craft personalized itineraries in a matter of seconds in any language.
This shift has significant implications for hospitality operators from a guest experience point of view; travelers are expecting to see the same convenience and ease during their trip that AI can offer when booking their journey.
Rising guest expectation is often named as one of the most pressing challenges of the hospitality industry. Implementing hotel chatbots in a meaningful way is one way in which hoteliers can rise up to the challenge, offering seamlessness and personalization.
Guest Demand
Sure, guests want a seamless stay, but they surely want to still have humans handle tasks related to their stay? Not quite.
According to research conducted by Oracle, 73% of travelers say they are more likely to stay at a hotel offering self-service technology that minimizes contact with the staff and the other guests. Furthermore, 77% are interested in staying at a hotel that uses a chatbot to provide support for most customer service requests, whether it’s through a mobile device or kiosks.
While hotels cannot (and arguably should not) completely obliterate human staff members, as there is also a psychological component to human-tech interaction, there is clear demand from the guests’ side to have tech such as NLP hotel chatbots as the first touchpoint, with quick escalation to a human when needed.
Data Collection
Each time a guest interacts with a hotel chatbot, it creates a mini data point. Based on what guests ask about, such as amenities or room upgrades, the chatbot can discern preferences and demand patterns. Over time, these interactions create a rich dataset that can point hoteliers to insights on how they can refine their offerings and what future guests are likely to need.
Furthermore, chatbots can not only survey guests on their satisfaction levels but also have been shown to increase the amount of feedback that the hotel receives overall – an invaluable asset in itself.
In a nutshell, hotel chatbots have interesting implications for hotels, both for how they approach guests and vice versa. There is clear demand from guests for hotel chatbots to be a part of their stay, and hotels may be better positioned to deliver a consistent customer experience by adopting these tools.
How Are Hotels Using Chatbot Technology Today?
According to a report by Skift, more than half of surveyed hotel executives have already implemented or are experimenting with adopting automated messaging such as hotel chatbots to handle customer service requests, with another 22% considering investing in the next year.
With increased adoption, those not hopping on the bandwagon of hotel chatbots risk falling behind with higher operational costs compared to competitors and not offering instant responses for guests, which is becoming the norm. In other words, with more hoteliers adopting automated messaging, hotel chatbots may start to become a competitive necessity.
How Hotel Chatbots Pay Off
Why are so many hotels willing to invest in chatbot technology? Because when these solutions work, they can be very impactful. The return on investment of hotel chatbots shows up in both the bottom line and added revenue.
Streamlining Customer Service Brings Cost Savings
Customer service is an area where AI has already hit hard in hospitality and beyond – and no wonder. Research conducted on the customer support of a meal delivery company shows that customer service agents responsible for online chats are able to respond 22% faster when using AI-based suggestions.
Hotel groups are finding similar efficiency. Wyndham Hotels & Resorts, the largest hotel company in the world, uses hotel chatbots for managing its call center that handles questions from its franchise owners and helps problem-solve issues related to operations. Implementing chatbots has proven to be a significant value-add, with AI agents now handling almost 30% of all incoming calls.
While Wyndham’s call center of the future is not a guest-facing application of hotel chatbots, the benefits for businesses are transferable. Firstly, there is less pressure on staff as they are supported by AI. Secondly, fewer employees are needed to handle a greater number of contacts.
Added Revenue Through Smart Upselling and Direct Bookings
Another very discussed promise of hotel chatbots is their ability to bring in more revenue through upselling services and increasing direct bookings.
Upselling means offering guests a premium version of their booking (such as a room upgrade or added services) to enhance the guest experience and generate extra revenue for the hotel. Hotel chatbots can personalize offers of add-on services and upgrades based on guest preferences and past data. Some AI providers promise double-digit revenue growth for hotels implementing chatbots.
Hotel chatbots can also reduce reliance on online travel agencies (OTAs) for bookings. Customer acquisition through OTAs is very expensive for hotels due to high commissions. Again, hotel chatbot providers have reported that hotels can achieve a whopping 30% increase in direct bookings by implementing these solutions.
Challenges Hotels Face When Adopting Chatbots
Now we know that hotel chatbots are an increasingly important tool for hospitality businesses that can save costs and generate revenue. However, there are some challenges that hotels may face when looking to add chatbots to their strategic toolbox.
The most notable challenges are:
- Integration with existing systems – Integrating chatbots with existing customer relationship systems (CRM) and property management systems (PMS) that hotels have in place is not always straightforward. The process of getting separate, often siloed legacy systems to communicate with each other may require significant resources or prove to be complex.
- Data privacy concerns – More than a third of consumers are very concerned about how their personal information is handled in travel interactions. Chatbots that mishandle data risk regulatory issues and reputational harm to the hotel. While absolutely necessary, making sure the hotel chatbot system is aligned with data privacy and AI regulations can be time-consuming and requires scrutiny to be watertight in the long run.
- Financial hesitation – Hotel chatbots come at many price points and can be a realistic investment even for small and medium-sized operators. That said, many operators remain hesitant, as the return on investment is not always immediate.
While these challenges are real, they are not insurmountable. Chatbot technology is still maturing, meaning that integration and compliance can improve in a way that makes adopting the technology less daunting for hoteliers.
Best Practices for Implementing Hotel Chatbots
Despite barriers, for many hoteliers, the question is changing from whether they should implement hotel chatbots or not to how soon they could do so effectively. To ensure that implementing a hotel chatbot solution solves a real operational challenge and brings about the desired results, here are some best practices hoteliers should keep in mind:
1. Start with a clear business challenge
Implementing tech for the sake of it rarely pays off. Start by identifying a gap in your operations that a hotel chatbot could naturally fill or a function that you want it to support the most. Having a clear goal in mind, such as to increase upselling or cut down the time spent on processing customer service queries, helps choose the right type of chatbot (for example, a simple scripted FAQ system versus a more advanced NLP hotel chatbot).
Pro Tip: Do not forget about employee-facing use cases. If your property does not want guests to interact with chatbots, you can still make it easier for your guest support team to do their work more efficiently. For example, consider an internal chatbot that gives reply suggestions to guest emails or queries at the front desk.
2. Design for the Guest First
A successful hotel chatbot enhances human hospitality instead of replacing it and should directly address guest needs. Consider a tool with multilingual support so that guests can interact in their native language and make it easy for them to escalate the interaction to a human agent whenever needed. Guests will be on board when the tools offer seamlessness and convenience.
3. Focus on Measurable Impact
Set up ways to track how the hotel chatbot is performing to see what kind of results it is delivering. Depending on where it is implemented, you could follow how often upsell offers are accepted, the number of bookings, and how guest satisfaction scores evolve. Reviewing interactions is also important to see where guests get stuck the most and abandon the conversation, so that the system can be fine-tuned to better serve its purpose.
The Future of Hotel Chatbots
Hotel chatbot systems are evolving very rapidly. With big players investing in borderline futuristic solutions, we can see glimpses of what it could mean for the industry.
The very next evolution is a large language model (LLM) concierge. LLM (of which ChatGPT, Gemini, and Claude are all examples) is a type of artificial intelligence that is trained with and can process huge amounts of data, giving it the ability to understand and generate human-like language.
Positioned as a concierge, an LLM hotel chatbot system could engage in a free-flowing conversation with guests and anticipate any needs they may have during the stay. With the advancements of agentic AI, the system could even act autonomously and complete tasks prompted by the guest.
Having fully digital staff members, however, is still futuristic. LLM-based tools have only gone mainstream after the launch of ChatGPT in 2022, and it is now being layered onto many previously NLP-based chatbots. Yet, building a custom GPT for hospitality requires serious investment, meaning that the early adopters will likely be the larger hotel groups of the world.
As chatbots evolve from simple script followers to AI concierges freely interacting with guests, their role in hospitality will only expand. Hotels that adopt these tools in a thoughtful way are positioned to gain in operational efficiency, revenue, and guest satisfaction. Hopefully, soon enough, with more widespread adoption, we will get even more information about the impact hotel chatbots are having on the properties employing them.
.jpg)
