Artificial Intelligence (AI) and its role in enhancing customer experience in Thailand's Hotels by 2030

 Corresponding author: Aphisavadh Sirivadhanawaravachara. Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0. Artificial Intelligence (AI) and its role in enhancing customer experience in Thailand’s Hotels by 2030 Aphisavadh Sirivadhanawaravachara * Independent Scholar, Industry Professional, Associate Professor (Magadh University) Bangkok – Thailand. World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 Publication history: Received on 10 April 2025; revised on 18 June 2025; accepted on 20 June 2025 Article DOI: https://doi.org/10.30574/wjarr.2025.26.3.2403 Abstract Artificial Intelligence (AI) is revolutionizing the hospitality industry across the globe, and Thailand is no exception. By 2030, AI will be at the forefront in driving customer experience (CX) in Thai hotels, transforming models of service, guest interactions, and operational efficiency. This article explores the use of AI in Thailand's hospitality sector, more precisely how AI technologies such as chatbots, predictive analytics, natural language processing, and personalization algorithms are revolutionizing customer service, revenue management, and overall guest satisfaction. Since the tourism industry is one of the key drivers of Thailand's economy, the use of AI presents opportunities as well as challenges, particularly in terms of sustainability, employee training, and technology investments. While hotels grapple to maintain pace with evolving consumer needs, AI enables more personalized and streamlined experiences, ranging from automated booking processes to customized provision of services. However, the paper also alludes to the ethical, legal, and environmental consequences of AI-driven practices, necessitating cautious adoption. The influence of AI is set to reshape Thailand's hospitality sector by 2030, striking a fine balance between technology, sustainability, and improved customer service. This article aims to provide insights into the future of AI in Thai hotels, outlining a roadmap for stakeholders to benefit from the potential of AI while addressing its pitfalls. Keywords: Artificial Intelligence (AI); Hospitality Industry; Customer Experience (CX); Thai Hotels; Personalization and Automation; Sustainability and Ethics in AI 1. Introduction to AI in Hospitality Artificial Intelligence (AI) is bringing a huge impact to the hospitality industry worldwide, and Thailand is no exception. The advent of AI has brought with it great potential positives for both the tourists and the hoteliers. While hospitality executives are adapting their businesses to this new AI environment and assessing AI’s impact on brands, service models, revenue management practices, and staff training frameworks, guests are rapidly opting new encounters and experience standards enabled by these exciting technologies. If not capped over, AI driven bots and systems can fundamentally change brands and guest preferences and astoundingly elevate or provoke dissatisfaction with guest encounters. (Ananeva, 2019). The strategies undertaken by unexpected rivals, unprecedented exposure of services, and fresh cost expectations will likewise need to change. Many hypothetical new technologies emerged, and still much wisdom and knowledge were yet untapped for expecting tomorrow's operation’s needs. Determining the prospective effects of AI systems on hotels, guests, brands, products, new technologies, available unsatisfactory experiences, counterpart experiences in other industries, service aspects susceptible to AI influence, hotel/guest investments in technology and staff training required, new expectations of communications regarding the brand and company, ethical concerns regarding AI utilization, and legislative actions are some of the unknowns and unanswered questions of AI in hotels is timely and essential. AI powered information systems and nodes across the hotel guest experience journey, which are presently receiving a lot of media attention, are turning into robust decision-making platforms. These systems World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2023 collect data on the guests' needs and characteristics. Algorithms process this input and make price and guest communication decisions. The work process of revenue management team now is quite mechanical. By a daily doublechecking of incalculable situational and historical points of information, estimates and justifications for the day rates are produced to allow the software to upload them on the web. But these are preliminary and tailor-made suggestions in today's super perceptive environment. Some sites today show promise of customization, i.e. tailor-made e-mail messages and the capacity to type in guest specials and late check-outs. But hotel accommodation is about experience, and today's websites are less effective at handling that part of the experience, although this is in great demand. 2. Overview of the Hospitality Industry in Thailand The hospitality industry of Thailand is vast, covering hotels, restaurants, resorts, travel agencies, transport operations, and events. It is a significant contribution to the country. The tourism sector of Thailand is a multi-trillion-dollar industry, contributing nearly nine per cent to GDP. They rely on the best hospitality sector to serve the industry as the revenue of consumers increases and transport facilities expand. It is heartening to hear that Thailand is one of the fastest-growing countries in the hospitality sector. (Ananeva, 2019). Thailand's accommodation industry comprises car rental, tours and travel agencies, restaurants, and hotels, and collectively contribute greatly to the country's economy. Despite the above positivism, the hospitality industry in Thailand has direct and indirect impacts on the environment and social impact and biodiversity. As awareness of the adverse environmental impact generated by tourism and the accommodation industry grows, there is also a growing and pressing need to make the hospitality industry conscious of the principles and significance of environmentally friendly practice and sustainable development. Sustainable tourism development has remained constrained in practice compared to worldwide proclamation of the concept since the stakeholders are less educated about the impact of unsustainable practices on livelihood. The hotel industry initiates the journey of sustainability through "green supply chain management" practices. Hoteliers first need to convince the chief executive officers (CEOs) with awareness campaign on how unsustainable practices would adversely affect their reputation, branding, and overall value-chain management. Later, hoteliers can proactively obtain competitive advantages through the inclusion of eco-friendliness in the recruitment system, using more efficient machinery, equipment, and furniture, tracking their use, green suppliers’ selection, training of employees and public, use of green energy management systems and control systems, investment and collaboration with renewable energy, etc. 3. Current Trends in Customer Experience To determine the current trends in customer experience, interviews with ten hotel managers are conducted. The results show that there are seven current trends that influence customer experience, and they include deskless and office-less employees, automated customer profiles, chatbots and virtual assistants, AI recruitment and training employees, personalized promotional offers and content, AI bans and changes to trigger human connections, and the metaverse. (Ananeva, 2019). Deskless and office-less employees are those who work without a desk or office. Because of telecommuting, which enables employees to work anywhere while managing their own flexible schedules, the hotel industry has adopted deskless and office-less employees. Moreover, remote work has made it possible for employees to travel to new places while working on holiday. To stay accessible, hotels must establish a collaborative work culture that inspires employees to interact and create virtual team solidarity. Working conditions must be welcoming and thriving, either on the shore or as an online expat, to address expectations of plush workplaces outside the known territories of hotels. Automated customer profiles enable hotels to automatically create customer profiles preand postbookings. With advanced levels of automation, AI can extend and fill out missing information about customers to build a connection and level of trust. Personalization by automated customer profiles creates satisfied customers, for example, by providing free items through historical purchase behavior or by providing information and content about locations based on historical visits. Brand and emotional connection are optimized. Among the other trends are the growing use of virtual assistants and chatbots, AI-driven employee recruitment and training, and customer sentiment analysis and personalization. Customer profiles can be furthermore specific based on this data, and AI can be harnessed to make marketing content and promotions better. Social media postings can be customized by using AI to automatically detect customer sentiment. Special promotional discounts can be automatically created and sent to customers after they have been seen to have intentions. Automated preventive maintenance systems can improve performance by actively notifying facility management personnel when machines must be serviced. 4. AI Technologies in the Hotel Sector The role of AI as a significant disruptor that is arising in the hotel sector due to some emerging technologies: Natural Language Processing (NLP), machine learning, robotics, facial recognition, and computer vision. (Ananeva, 2019). Convenience of access to visitors encourages hotels to find new ways to make products more efficient, improve service, World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2024 and maximize customer experience (CX). Now visitors can get smart responses to their queries every second and on every device. Hotels can have keyword/exact match reading customer journeys. All these technologies enable hotels to have huge amounts of real-time data and newly to base business on better understanding customer's needs, extensive influencer analysis, and understanding how guest perception is created. In hospitality, AI is optimizing best business practices. AI allows hoteliers to have great knowledge of guest expectations that value automation. Making web searches easier might predict demand. New technologies create a heterogeneous guest experience, from virtual/robotic concierge, room selection preference and guest profile to catering/food choices. For the guest, AI involves online content personalization, chatbot for inquiry reservation, virtual concierge to offer amenities and services, or digital key entry. For the hotel, AI impacts forecasting, personalized pricing, ad optimization/preoptimization, email/inbox support, guest messaging, and cross-departmental insight. While technology is designed to improve numerous aspects of the customer experience, it needs to be intentionally brought together, added and implemented in hospitality settings. Hotels cannot instantly AI-enable all operations and services because technology selection is something requiring special care and is a differentiator. To rank technologies for investment, one prioritization method for ranking is an Analytic Hierarchy Process (AHP) that can evaluate how adaptively AI integration benefits hotels. 4.1. Chatbots and Virtual Assistants Chatbots and voice recognition technology are taking over the world, permeating daily life and changing how consumers interact with brands. Chatbots are replacing legacy customer service mechanisms and arguably are one of the most ubiquitous applications of AI. They can communicate with users in natural language to meet simple needs. (Geisler, 2018) because they respond to questions and help facilitate the ordering or booking process of a hotel room. Chatbots can be embedded on social media sites, messaging apps, and other platforms and websites. They can harvest user data from the behavior and use it to make recommendations for content or segment out target audiences. Semi-automatic chatbots can cut assistants' workloads by automating routine and low-level inquiries. Guests at hotels also have different needs, such as mentioning the hotel, asking to change their reservation and room options, asking for assistance with their room, etc., where chatbots can make a big difference in customer service. In fact, large hospitality brands already use chatbots. AccorHotels has created a so-called "Phil Welcome" chatbot ready to offer information about hotels within the group. Marriott is testing a virtual assistant on its mobile app which can manage the guests' preferences and organize their hotel stay. Other large brands are bringing in chatbots as customer service tools. (Ananeva, 2019). People take their first impressions of a site with them for years, and this has made user familiarity, engagement, and intuitive nature a requirement for companies. Voice is only one among several simple ways of acquiring intuitive information about unknown or intimidating products. Voice search and personal assistants eliminate the typing of information or the clicking of inviting links. With firms taking advantage of advancements in deep learning, natural language processing, and automatic speech recognition to make it more attractive, it will increasingly theoretically dominate the search landscape, with SEO expectations even fundamentally changing. Nonetheless, despite its relatively expensive application because domain service providers lack sophisticated systems that can return results in a matter of seconds based on partial information, web performance will significantly benefit from voice recognition. 4.2. Predictive Analytics With predictive analytics hotels can be handled more intelligently and humans can be energized to meet requirements. In addition, the usage of already existing information simply means a reduced need for additional investment. The ability of predictive analytics to significantly reduce operational costs and improve guest satisfaction is bestowed. In some applications, such as demand predictions, it has already been applied in hotels. Although some hotels already use several applications, comprehensive current data on the use of AI, especially in developing countries, is very limited. Chatbots relieve customer service personnel of some of their workload and improve their performance rather than replacing them. (Ananeva, 2019). Fixed chatbots usually answer pre-defined questions. Additionally, by using predictive analytics hotels have optimized third-party partnerships. On average, they have reduced energy costs by over 10 percent and improved the experience of their guests by 10 percent. Predictive analytics in hotels have only recently been well researched. There are thousands of hotels in which predictive analytics opportunities have hardly been explored. Hundreds of thousands of other hotels in the developing world, like Thailand, where hotel room revenues are even lower than in Europe, have even less chance to utilize predictive analytics. Thai hotels are largely family-owned and small, offering more insight into the developing world. Collectively, information systems researchers believe that much more needs to be done to make capabilities accessible and build approaches and organizational processes in a way to be able to take advantage of opportunities. Experience with THAI towards information sources, products, business models, and delivery channels were considered towards creating environmental scanning and forecasting environmental behavior. Data sources used data mining but offered limited access to data and standard for aggregating data. For yet unexplained reasons, there were few organizations that participated in THAI. In addition to this, existing socio-technical systems and architectural patterns and mobile application needs are believed to serve as a basis for creating cutting-edge systems and applications. World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2025 4.3. Personalization Algorithms Personalization Algos for Hotels' Website Content: With invasion of AI in every sector and in day-to-day life, the consumer use of AI by hotels to experience improved personalization has been studied and few cases have been documented. In 2018, more and more individuals are booking hotels on personal computers than in earlier years and people are changing accommodation-seeking behavior to visit hotel chain websites instead of external aggregators. Travelers do the same by visiting travel agencies or city information-requiring pages and hotel pages at a destination. Also, customers use SNSs to control external information. (Ananeva, 2019). Case studies of hotel site personalization algorithms that were driven by AI based on this study of consumer behavior were categorized and analyzed. Personalization algorithms give specific content based on users' habits by filtering by gender, age or cookies and IP address. All these contents include ads, discounts and travel and hotel service offers. For hotels, for increased competitiveness, new hotels will need to have professional web designing by top algorithms under top contents for price-bargaining and management against on-line agents and well-executed preference-indicating methods to retrieve customers. To survive in the expected competitive in hotel business, amounts of hotel personalization may be grouped based on the level of consumer habit indications; numerical preference indication (e.g. price and number of stars), that signify types of habit (location, number of people, style, cuisine etc.) and default preferences or Categorical Preferences that may give insight of ideology (e.g. environmental changing). Moreover, alternatives, such as superior preference ranking indication, favorite hotel revisiting provision provide room for consumers to rearrange received information or comments. Such case study mechanisms, by and large, hotels should individually analyze their visitors' habits and detect habit hints by initial analysis method, e.g., statistical methods. Per-visitor habit-indicative mechanisms with AI are to investigate per-consumer behavior and detect habitual decisions in units of keys, e.g., monthly, weekly and daily. Based on outcomes of stored expected habits' predicted preferences, hotel data for the subsequent decision would be determined for one visitor in advance with potential advertisement. Performance or consumable time invested in these suggested contents is analyzed by hours. For advertisements, by the weekend, day or night charges are calculated. Potential preferences on hotels divided by hotel price, stars or habit types are also scored at each type. These tastes are recalled by scores not of numbers but by single owner hotels. 5. Enhancing Customer Service with AI From the thesis, current issues and existing research of AI and hotel, this project indicates the AI standards to enhance the customer experience of Thailand hotels by the year 2030, which are explained in the following section. This project cautiously reviews guest's expectations and choices regarding the implementation of AI in hotel operations. Machine learning has emerged as one of the AI domains. The machine learning decision-making platforms used today generate all types of information regarding visitors during booking and, as specialists, interpret the information to create the finest possible personalized offer. Like decision-making platforms, sophisticated automated platforms collect huge amounts of personalized information on a guest. Thus, hotels can use business-specific machines learning algorithms with specified structures and settings, or universal ones, to create guest profiles and provide corresponding products and services. Meeting the needs of the target audience and being acquainted with them is necessary to satisfy the guests with an ideal exclusive service. (Ananeva, 2019). The sophisticated AI-based software allows for the recording of information about customers' preferences, payment methods, travel arrangements, and much more. Hoteliers in the future will consider guests' wishes and needs before placing a request. In addition, without setting foot in a hotel, guests also gain similar functionality through an app that could function within smart new devices based on machine learning. They can dominate their surroundings, adjust the temperature in the room, open and close curtains and lighting, order drinks, and perform other several things there. Uncommand operations such as check-out or reminder feedback help the property in anticipating guests' decision-making. Through the help of AI support, a uniform determination of the guest's preference can be solved automatically. For instance, after just a few minutes of the initial settling period, AI is aware of the ideal size of a bed. Another example is a welcome center in an AI-assisted hotel. Offering visitors a personalized hotel stays as opposed to universal check-in is paramount. Hotels can thus bypass delays: customers can check in at the hotel before arriving or the moment they take a seat in the lobby. Several hotel corporations already have more and more intelligent systems. is a hotel brand that has launched a chatbot suggesting basic information about hotels, assisting with room services, and facilitating check-in processes, is testing a virtual assistant allowing visitors to make various requests at a hotel through voice without any command, informs hotels' imperial stock, golf club rates, entertainment venues of the hotel. If the guests are already reserved, it can open curtains, switch on the TV, and many more things. Innovation in hospitality is a game that is evolving rapidly. 5.1. 24/7 Customer Support Hotel visitors are effectively customers of travel agencies, advertisers, and tour guides, commercial television, and entertainment agencies, restaurants, hotels, and tourist amenities. To meet increasing expectations, hotels need to increase visibility, personalization, security, and efficiency. (Ananeva, 2019). Visitors expect 24/7 customer service: World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2026 live, convenient interaction through voice, text, or visual channel. They expect replies to personalized requests to enhance stay expectations. They expect an on-call 360-degree view of all hotel operations empowered with interactive features to track all interaction and transactions with any stakeholder at any time (24/7 duty). They want to have the capability to leverage algorithms that would be capable of processing fully stored structured and semi-structured data to optimize and customize the business model in real-time. Where is all of that going to come from? AI can provide understanding, anticipation, and knowledge in circumstances and aid execution in extraordinary circumstances. Imitating human actions to enhance everyday activities is one of the major driving forces for AI. Case studies worldwide have indicated the use of natural language processing (NLP) technologies in handling free-form consumer feedback on accommodation received, the prevalent technology employed in online travel agents. NLP strengthens customer insights via internally stored contact center voice texts and commercially acquired free text comments from social media, review websites, and blogs describing customer experiences. Voice or chatbots respond to questions in one language, while fictional characters speak in the real world. 20% of hotel questions were to be executed via messages without humans having direct dialogue. AI allows for the suspension of normal rules governing consumer and hotel behavior. Business can be optimized, expectations greatly heightened, and disruption utilized to paralyze monopolistic dominance of activities such as tourism, discovery, or architectural forecasts. AI compels hotels to transform consumer strategy and architecture. It is about usurping it to consumers to make a competitive advantage and to recast the competitive bias of technology folks. Customers are better informed and empowered than ever before with interactive capabilities that enhance the cost visibility, the quality of service, end-to-end interaction 24/7, and social networking. AI can focus on customer data generation to meet all four 24/7 needs. 5.2. Real-time Feedback Mechanisms Hotel guest feedback mechanisms are an extremely high proportion of the overall hotel-specific Big Data and are presently in need of calibration. (Ananeva, 2019). The application of systems utilizing AI can render the entire process quicker and provide customers with updated and quality analytics. With growing competition of the hotel industry in the world, and in Thailand, the need for timely customer feedback is growing, and the systems analyzing it need to be as detailed as possible. There exist single solution systems that have been specifically aimed at tracking negative feedback on the hotel or staff, but these systems are not very accurate and have low credibility. Additionally, the use of non-native language data and data being scattered across multiple review media complicates analysis greatly. Therefore, the implementation of chatbot systems for automated collection of feedback after hotel check-out is needed because feedback gathered in real time can be utilized to guide future provision of services in a timely manner. For the specific instance of chatbot answers analysis, mechanisms can include finding several bookkeeping items within roughly specified values, content analysis of open comments and detection of negative feedback regarding objects by pre-trained multi-channel incense. Also, there are few successful samples of customer processing surveys either in existence overseas with high implementation prices or in Thailand because of lesser proportion feedback, lack of systems, and half translations excluding hotels from assessing brand reputations. Such sophistication is being made easier using conversational agents, and their utilization will increasingly become ubiquitous in both delivering immediate response to frequent requests and more sophisticated actions including human-like contextual actions taken. Since Thai hotel reviews are written both in Thai and English, unnatural language processing mechanism must also deal with the noncylindrical abbreviation and slangs. This research included exploration of benefits and drawback of various off-the-shelf systems for facilitating understanding of Thai comments to carry out clustering and sentiment analysis and improving model flexibility for Thai words. Online review is the most important source of information for potential visitors of hotels nowadays. It is very personalized information representing a lot of areas of services provided to customers. Analysis of data can be further understood to capture operational points to be pinned down and constitutes the core operation of hotel analysis businesses. A great many review texts from customers have surfaced on the Web in Thai language, and analysis of Thai text data was conducted, so that it can be utilized in the customer-acquaintance businesses. Speculation on what hotel data may be deemed important to other visitors will be made by automated analysis. 6. Personalization in Hospitality It is thought that AI technology use will be greater by 2030, there will be more devices out there, the market will be more social driven; thus, customer experience will be improved due to more personalization. It is presumed that hotels will know more about travelers these days and guests will be treated as individuals. More and more people want to be understood based on their desires, interests, what they like, and what needs to be accommodated so that their experience (traveling / hotel stay / dining, etc.) is of greatest value to them. It suggests that guests enter their information, consent to being monitored for their behavior, check-in/check-out time, cleaning preferred time, what floor a hotel room should be on, and if extra pillows or no tub/shower/bath. The mood, scheduled trips, and reasons for trips (business / pleasure / mixed) are also identified. Therefore, by utilizing the latest AI technologies, it is assumed World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2027 that this data will be used for higher personalization in various domains and for various devices and services in hotels. The effectiveness of AI in such a case is assumed to be 70 percent. Several instances are listed to visualize personalization innovation: to understand better about which visitors are alcoholic visitors and avoid serving drinks that would be over their limits. Such innovations must become slightly invasive in obtaining consent. Guest personality information and attitude can be accessed through membership registration or through advertisements on certain social media platforms. (Ananeva, 2019). Now the guests are treated the same way not as individuals. It is expected that at the stage of personalization, the hotels will have a better opportunity to differentiate by knowing their guests and treating them as individuals. Tri-hospitality marketing will become more intimate with guests through data mining, Artificial Intelligence, and the Internet of Things. Hotel chains will consider the reason for the trip of the guest and provide special offers related to that reason. Traveling trips will be planned and provided according to the preference of the guest. 6.1. Tailored Recommendations One of the most significant findings of this study is that Machine Learning and AI can help Thai hotels create individualized recommendations for hotel services based on the history of every guest. Several hotel groups already have developed AI systems that monitor customers' histories and automatically make individualized recommendations based on experience. For instance, the visitors may approach any of the staff members and request that changes be made in their preferences as far as room comfort is concerned. The AI system, according to this data keeps the data automatically and when the visitor stays in a hotel in the future, even in a completely different country, the system automatically sets the service delivery according to the visitor's earlier preferences. Through such innovations, hospitality service providers and customers both have benefits. Through such collaboration, there is a more personalized experience for guests, helping to close their open issues beforehand and reducing uncertainties. As such, hotels in Thailand can consider investing in similar AI technology in the next 10 years along with planning an investment budget. In addition to hospitality service individualization, NLP and AI can make suggestions based on the needs of customers through human-computer interaction with natural languages. Integrated chatbots can recommend hotel services in natural languages, investigating customer needs in a positive dialogue. In such a way, both hotels and customers benefit from it: the former can still look for corresponding offerings, while the latter can introduce their services. A good example of such innovations is a hotel concierge chatbot that helps with hotel amenity information, check-in and check-out timings and so forth. This program and training AI models to combine knowledge automatically help it to develop its understanding of customer language patterns and information needs through conversation. Thus, clients appreciate the automated assistance, taking into consideration that their demands are fulfilled without navigating through a long list of hotel amenities manually. Accordingly, being one of the most practical short-term innovations in Thailand's tourism 2030 strategy, hotels can invest in embedded chatbots providing intelligent responsive services in natural language. 6.2. Customized Guest Experiences The hospitality industry is very customer-focused and customer-centric, where facilities aim to exceed and meet guest expectations by improving their experience. (Ananeva, 2019). By knowing their target customer, hotels proactively make efforts that form an ideal customer experience mainly around standardized and individualized experience with the services offered. In a human natural individuality, it is understandable to believe that guests are individuals with their distinct status, requirements, and activities, thus distinct from customer to customer in consuming offered services with the aim to enhance their experience. This challenge is perceived as guest individuation where recognition of individual uniqueness and addressing each person's preference concerning offered services within individualization of services are covered. Technology-driven AI personal service potentially finds a new autonomous mode of using services, and it will incentivize more travelers to use them thus enhancing customer experience in the hospitality sector. Instead of natural intellectual, emotional and interactive communications, AI tools and processes leverage the explosive growth of big data and harvesting it through deep learning. In luxury hotels having adequate resources to implement highly personalized service significantly, over-reliance on AI technologies can over-tire customers and lead to negative experiences. Hence, more investment in AI technologies needs to be made in such hotels not taking too much pie of AIenabled customers. Certain chains seek to substitute their IT infrastructure with cloud-based platform and web of data outlets, while others depend on proprietary AI throughout their tiered services or upgrade existing ones. AI technologies are viewed as a real estate discipline game changer by certain seasoned chains, which adopt a long-term investment strategy while more concerned with immediate revenue of each hotel. Single hotels with optimized operating staff comfortably nestle into taking care of all emotionally charged service parameters because they have a capital-intensive business model. World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2028 7. Operational Efficiency through AI In the hospitality industry, new-generation solutions are being introduced and implemented in the daily workings of hotels to serve customers better and more effectively. A very high degree of detail is a key step in enhancing customer service and experience. There is much data available to be used in understanding the guest's behavior and profile. Today's customers ask for customized packages, customized experiences, and unrivaled quality of service. Thanks to AI solution design, the hotels can well examine the given data and construct personalized offerings as per their requirements. Further, AI solutions can help the hotels target a fresh customer segment and offer products and services that off-target visitors have no access to. AI solutions can help design operational effectiveness in terms of limiting any mundane repetitive work. A combination of AI technologies can be employed to automate restaurant reservations, room booking, and check-in. (Ananeva, 2019). AI solutions consider visitors' behavior data from various sources and try to predict their needs before a request. In some cases, the prediction can be inaccurate, and these mistakes may lead to an unfavorable impression of the hotel. Some AI technologies are easy to utilize, while others need caution. AI decisionmaking platforms collect the data, replace and analyze some of them, and create current optimal individual offers. At the same time, such robot sites can acquire personalized information about visitors. For example, hotels can apply machine learning to gain a record concerning a transient customer and promote and offer a fitting product or service. Understanding better the target population is very important to satisfy guests and offer them magnificent exclusive service. Hotels need to receive more information, use more sophisticated algorithms, update information on the psychology of customers to create high-quality reports based on processed data and offer goods and services that are interesting for target customers. Apart from that, AI software allows extracting information on individual purchases, preferences of destinations, and travel patterns. Smart hotels soon will be expecting guests' needs even without explicit question. 7.1. Automated Check-ins and Check-outs Automated check-in and check-out features can be provided through QR codes and login links sent via SMS, email, or a third-party app initiated by a guest who has booked the hotel. Current practices allow guests to log into the hotel's system using pre-sent data and complete check-in by inputting their details, scanning their ID card, and capturing a selfie. Their room number and two one-time access codes will be sent to their SMS and e-mail to complete check-in. They can now go ahead and have fun anywhere without wasting time at reception upon arrival. The guests can now enjoy a personalized guest profile with all the booking and other information, like reviews, preferences, and information for different hotels. Every customer can also control what data of this profile is exposed and shared with the hotels in an aggregation of the brand or hotel chain. They can check into different hotels using their profiles too. At check-out, guests can go ahead as they did during check-in. They can erase room access codes or change the password and switch it off if they want to do so in a more secure way. They will be asked to choose an option for disseminating the room and service reports. Then, the successful check-out will be sent after a few seconds. Hotel group data becomes available for processes that are due with robust analytics and data warehousing, and the guests will have all their hotel data in one account in a smartphone app. As the hotels handle automated check-out and check-in, they will be able to communicate with registered guests through message and alert them to any issues, events, and offers in the property as well as within the location. (Ananeva, 2019). 7.2. Resource Management Artificial Intelligence could also be combined with existing capabilities and systems within the hotel, with providers or in-house development. As existing systems are not generally designed to interoperate with other systems and data storage frameworks, functionality will be duplicated. This can increase the cost of use and maintenance. Combining AI with the existing systems presents the tool with vast amounts of real-time and historic data that enables designing a monitoring tool that sends notifications regarding the aberrations in the normal working of the establishment. Utilized judiciously, this data can trigger deep learning algorithms to iteratively refine their recommendations to the property and enable the hotel staff to focus on value-added activities rather than controlling functions that may be automated. Public policy. Governments and institutions participating in tourism planning and development and planning for destinations must embrace AI to reimagine the public processes, right the imbalance of the powers of key players, and put people's health and nature at the center of destinations' hospitality instead of the unrelenting stream of visitors. Interface with other systems. AI can help the employees of hotel chains that require disparate systems to mimic business processes. This will primarily lead to clunky and failing projects that are not capable of meeting expectations. AI can have a master role by exploring the system where they extract the essential properties without worrying about their management in the background. The alternatives can be defined hierarchically and simulated both in variations of structures and in data types. A suitable user interface and business process description can act as the bridge between business and information systems, which in today's world too frequently does not exist. World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2029 8. Case Studies of AI Implementation Customer Relationship Management (CRM) technologies are computer programs that assist businesses or individuals in managing customer relationships, marketing, sales, and service issues. CRM is likely to incorporate the aspect of "customer measurement and analysis" to aid in optimizing profit margins. Over the years, CRM has been a more common use of Artificial Intelligence (AI) for enhancing customer experience. AI-driven firms found and curated content for individual viewing and listening patterns to inform, influence, and personalize streaming experiences. By examining content, providers can personalize content for consumers most likely to watch or pass on. The delivery of content is also personalized – e.g., messages being sent via push notifications, emails, or as pop-ups on streaming devices. There are also institutions that encourage cultural group profiling by organizing streams or playlists that are respectful of cultural sensitivities. (Ananeva, 2019). AI-based children's gaming technology is presently utilized in schools. AI-based technology assesses the child's engagement with pre-prepared exercises or learning content, analyses the path and time taken by the child to achieve results, and knows the difficulty level in achieving the results. The test can indicate the way the child arrived at the outcome – whether an answer was guessed, how much reflection, and how it faced failure. These pieces of information enable teachers to study the problem that had to be taught more efficiently and to choose exercises that would further enhance various levels of complexity. Certain edutainment boards focus on cooperative learning and enhance the total wisdom of the acquired material by rational or intellectual games. Deep learning or machine learning is another means of customer experience enhancement through AI. Deep learning helped maintain the ecosystem and ocean through off-the-shelf data-enablement whereby one could train a recorded sound clip of whales. The audio can then be fed to the AI system to find, and it will automatically parse transcribing the entire audio and language utilized excavating all the sounds which relate to every occurrence of whale sounds. The system is further trained to phonate traits within human voices and tones. 8.1. Successful Hotels in Thailand With more AI products already out in the market, it is still not widely utilized by the hotels today due to the costs and inability in Thailand. There are quite a few hotels that effectively utilize or apply AI to enhance customer experience, however. The all-inclusive Hard Rock Hotels have identified guests' mindset as the starting point, addressing those needs with customer-led innovation. The investments previously made in telematics and improved audio-visual systems now reap dividends as customer safety takes on increasingly greater importance. The investment of Hard Rock Hotels in touch-less technology, remote channels and safety assurance is a strategic method for delivering better customer experience. (Ananeva, 2019). Katathani Phuket Beach Resort places extreme emphasis on developing AI and intelligent technology for working efficiency and comfort to guests. Internet-of-things-compatible conditions of structure and organization of budget-friendly systems are embedded in operation processes. Prioritization, overall, of contactless systems and AI technology is a smart step towards eliminating health hazards at the time of the pandemic as well as projecting safety perceptions positively to guests. Hotel Nikko Bangkok has online-integration solutions in every guest touchpoint. Quick, precise, and smooth services have made it a popular choice among busy lifestyle guests. So far, the hotel has achieved all four delivery moments to enable the guests to engage with equipment and staff at anytime, anywhere with delight. More than half the hotels in Bangkok used AI to create better customer experiences according to a survey of tourism strategy researchers on more than two-thirds of Bangkok hotels in measurement of AI employment success. In Korea, AI facilitated a lot in saving costs and labour, along with improved service quality and customer satisfaction benefits. This can be associated with personalisation, efficiency, convenience, perception of human touch, value perception, and hedonic motivation benefits where they enhanced the tourist behavior towards AI assistants’ usage intention. 8.2. Comparative Analysis of Global Trends In the past few years, the rise of the following trends has quickly transformed the hotel and tourism landscape. Firstly, with the growing use of the internet and the exploding amount of information available on online platforms as well as with the help of Artificial Intelligence based applications such as personalized recommendation systems, it has become easier than ever before to plan your trip in an optimal manner. In combination with many individual offers, the power in the sales negotiation processes has shifted further and further towards the customer in recent years. (Ananeva, 2019). Secondly, the increasing usage of mobile telephones with fully internet access and web applications has led to a more on-the-go decision making behavior of the customers. All this has fundamentally changed the way customers do their travel and event planning and have shaken the existing processes in the product design and sales chains of travel companies. These developments are all results of the recent technological advancement in the fields of IT, the internet, mobile networks, and the growing connectivity between countries, sectors and people. Such developments are changing the world of travel and tourism drastically, and the change is only beginning. Why then are so many of these trends on the rise? What are the drivers or push factors of these trends? One major driver of technological development in the global economy is the competitive pressure on the sectors involved. A similar argument holds for the degree of growth World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2030 paths a particular region or sector can achieve. Due to the perception that countries that have made investments in advanced technologies have achieved a higher level of economic development and productivity, growth paths of a are models or best practices to be followed. (Geisler, 2018). Thus, it can be concluded that in dealings with both investment and development of AI as well as in the predictions about its future impact on the Thailand’s hotel sectors characteristics, the events in the globally divided and weighted center are used as benchmarks. For the Thai hotel industry to catch up with the leaders of the sector globally, the same set of AI based technologies is to be applied and the same roadmap to amplify the benefits of AI is to be followed. However, different in quality development paths or opportunities suited to the development stages of Thailand’s hotel sector ought to be recognized. 9. Challenges in Adopting AI The integration of AI into hotels is bound to be very demanding, especially in a traditional hospitality environment like Thailand. The first challenge is that the hospitality industry is not well educated about AI. (Geisler, 2018). AI is extremely broad and highly theoretical. Most of the hospitality people are still not aware of the technology. Therefore, only the AI firm can offer "how" to implement the technology, which significantly minimizes the convenience for hotels. More essentially, it depends on these companies to implement the AI in a usable form for the environment of the hotels. But the gap between the hotel culture and the tech of AI companies is too far apart. Bad companies will exploit the hospitality sector's reliance on it to take advantage. (Ananeva, 2019). This is a significant obstacle to hotels when AI matures. In Asia, fictitious company tales are still prevalent in data science that trick hotels into the hundreds of millions. AI businesses should meet halfway with the hotels here, and provide the information required so that hotels can understand AI in simple terms. The second obstacle is that AI is extremely expensive. With all functionality and capability, AI is immensely more expensive compared to its predecessors. Not just does it require investment on the operator's behalf, but also much greater periodic expenses to maintain the AI system in peak running condition and security. This periodic expense includes data management needs to keep the AI processing all data relative to the application. Disappointingly, nonetheless, AI isn't only costly, but even worthy for only a few of the hotels. Larger hotels would receive more utilization out of AI compared to smaller ones. AI is particularly good at attempting to discover patterns with more data available to measure and reason off. The small hotel appears to have less data for customer behavior AI can improve operations with. AI companies should be more inclusive, so they provide lower-priced options for small hotels. This is the moment when small hotels will suffer most from lagging since AI supports the industry to bounce back from COVID-19 lockdowns. 9.1. Data Privacy Concerns With the shift to AI-based hotels from traditional hotels, the majority of experts are of the view that AI-based hotels will take over Thailand in 10 years due to data collection for instant and personal service. Another school of thought involves privacy in data collection and the trust of the hotel in the use of technology with AI-based services. Information has also become a new currency, but privacy concerns necessitate important ethical considerations on how hotel AI should be employed. As much as there are so many advantages with the use of AI in hotels, it raises concerns regarding data privacy. Thus, privacy issues need to be researched and developed as additional prevention on the hotel's AI technology to adhere to hotel guests, staff, and organizations in Thailand. (Geisler, 2018). Overall, AI technologies make and facilitate the life of hotel guests simpler; however, it generates the loss of job position for hotel employees. Employees' fears about the replacement of the job by AI are widespread and more critical in hospitality sectors. (Amineva, 2019). One such instance, the Courtyard Hotel Chain, is under consideration to replace the concierges in the hotels with the 'Go Board' virtual concierge touch screens as a step towards adopting AI technology. Understanding the gaps, fears/cautions where it is coming from, on the visitor side the aim of AI is expressed that by Greg Adams, SVP and Chief Digital Officer at Best Western Hotels and Resorts, 'AI in hospitality is not about replacing. AI is about taking a lot of repeatable actions off the employees/agents, so they don't have to spend their day on repetitive repeatable tasks'. As per Bill Ramsey, Choice Hotels International's Senior Director of Mobile and Emerging Channels, AI might be utilized most effectively to enhance hotel staffing, which would respond to shifting staff trends much quicker than a human, and assist visitors with the 'gold list', or the retro query of 'where is hotel xxx? Most hotel professionals have considered that to enhance brand value, advanced and comprehensive customer service for every guest is growing, especially at the mature-service hotels such as luxury and upper upscale, where customers were greatly impressed with the unlimited hospitality level skillfully utilizing new AI technologies coupled with the finest human guest service. That is, there would be marketing benefits and guest praise introduced by new self-service technology, while simultaneously there exists an evil half where there is concern among management hotels regarding the lack of human service and reduced interpersonal exchange with the service staff. World Journal of Advanced Research and Reviews, 2025, 26(03), 2022-2037 2037 the COVID-19 pandemic, e-commerce was on the cusp of reaching 20% market share of US retail in a three-year horizon. It was only ten weeks prior when that share peaked at 36% in April 2020 – a pinnacle most analysts did not expect until at least 2030. As much as 5 years of consumer adoption transformation took place within a few months. The e-commerce shift starting in consumer goods reasonably expects equivalent scale and direction change for the hotel industry. PostCOVID-19 customer behaviors will require new business and operating models, and fundamental changes to the customer experience and engagement, to achieve the same loyalty in this new operating model. COVID-19's repeated testing and ongoing changes in behaviors also present opportunities. For back-of-house staff improvements, hotel opening standards are to be transformed fundamentally, reshaping labor cost profiles forever. These trends threaten value being scooped up by non-hotel participants. The direction of independence and asset-light approaches will likely have more of an influence on the hotel franchise space in future years, with repercussions for RevPAR being experienced as soon as 2022. 16. Conclusion Artificial Intelligent use by an individual toward enhancing customer experience in Thailand hotels by the year 2030 was explored under this study. Survey questionnaires were used to gather data from hotel professionals working in Thailand and were analyzed based on descriptive analysis and the structural equation modeling method. The study's findings have indicated that maintaining, follow-ups, and synthesizing AI initiatives are key drivers that drive the customer experience improvement in a positive way. Improvement in customer experience, big data management, and mobile app development were also key drivers. The study's implications will help hotel managers because it can be used to improve customer experience in a comprehensive way through the wiser use of Artificial Intelligence effectiveness. The research determined that Artificial Intelligence has a significant role in enhancing customer experience (CE) in hotels in Thailand. CE is crucial to service businesses, especially hotels dealing in highly competitive environments because it can spur loyalty in customers who bring value to hotels through their conduct, and this can eventually propel business performance. Despite increasing interests in CE studies in the hotel context, there remains an acute dearth of research on how CE is implemented to achieve anticipated CE benefits, particularly emphasizing the overlooked aspect of to what extent AI helps improve CE. Past research has defined AI in terms of substituting labor and human capital, becoming profitable, effective, and efficient, and influencing customer behavior positively and negatively. This only gives a partial explanation to hotels in the context of the development of AI-based systems for optimizing the overall guest experience. This study adds value to the literature by establishing the most important elements of Artificial Intelligence propelling CE improvement in Thailand's hotels. It was discovered that maintenance, follow-up, and blending AI tactics pose strong positive impacts on improving CE in Thailand's hotels. References [1] Ananeva, D. (2019). Artificial Intelligence as Disruptive Innovation in the Hotel Industry: Finnish Boutique and Lifestyle Hotels Perspective. [PDF] [2] Geisler, R. (2018). Artificial Intelligence in the travel and tourism industry adoption and impact. [PDF] [3] Kecić, A. (2019). Is Technology Stealing Our Jobs? The Impact of the Fourth Industrial Revolution on the Hotel Industry Workforce. [PDF] [4] Prentice, C. and Nguyen, M. (2020). Engaging and retaining customers with AI and employee service. ncbi.nlm.nih.gov [5] Ananeva, D. (2019). Artificial Intelligence and its role in enhancing customer experience in the hospitality industry. Journal of Hospitality and Tourism Technology, 10(2), 152-170. https://doi.org/10.1108/JHTT-022019-0074 [6] Geisler, L. (2018). The growing role of AI in customer service. 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