Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

Pittsburgh weekly roundup: Axios-OpenAI partnership; Buttigieg visits CMU; AI ‘employees’ in the nonprofit industry

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • Adobe Sensi
    • Aleph Alpha
    • Alibaba Cloud (Qwen)
    • Amazon AWS AI
    • Anthropic (Claude)
    • Apple Core ML
    • Baidu (ERNIE)
    • ByteDance Doubao
    • C3 AI
    • Cohere
    • DataRobot
    • DeepSeek
  • AI Research & Breakthroughs
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Education AI
    • Energy AI
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Media & Entertainment
    • Transportation AI
    • Manufacturing AI
    • Retail AI
    • Agriculture AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
Advanced AI News
Home » Artificial Intelligence: No Substitute for the Human Touch in Hospitality
Customer Service AI

Artificial Intelligence: No Substitute for the Human Touch in Hospitality

Advanced AI BotBy Advanced AI BotJune 6, 2025No Comments9 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


There is a growing body of knowledge focusing on the influence that artificial intelligence (AI) is having on the hospitality industry. What the evidence suggests is that for hospitality businesses, the impact of AI to date has been very positive. Hospitality marketers, for example, are using AI powered systems to analyze vast amounts of customer data, such as booking history, preferences, and online behavior. This information is then used to create personalized recommendations for destinations, accommodation, activities and more.

AI systems can also customize marketing campaigns, improving consumer engagement and conversion rates. Additionally, AI can help hospitality companies optimize their pricing strategies based on factors such as demand trends, competitor pricing and historical data.

Human resource management professionals in the hospitality industry are also leveraging AI to automate repetitive tasks such as screening resumes, scheduling interviews, and conducting background checks. AI-powered chatbots and virtual assistants are being used to interact with job applicants and provide personalized assistance and information about open positions and the application process. This all saves time and resources for HR employees, allowing them to focus on more strategic activities such as building relationships with key clients and providing individualized service to guests.

Perhaps the most visible application of AI in the hospitality sector for customers is the deployment of chatbots and virtual concierges. AI-driven conversational agents are interacting with guests in real-time, addressing their queries, providing recommendations, and even handling routine tasks such as check-in and check-out procedures. By automating these processes, hotels can streamline operations, reduce labor costs, and offer around-the-clock support to guests, improving overall efficiency and convenience.

For example, Radisson Blu Edwardian hotels use a chatbot named “Edward” that can instantly address guest complaints or issues through text messages. If a guest needs more towels or has a problem with their room, Edward handles it right away, often negating the need for the guest to call the front desk. This quick resolution has led to higher guest satisfaction.

Consumer concerns with AI (Infographic courtesy of Qualtrics XM Institute) — Photo by University of South CarolinaConsumer concerns with AI (Infographic courtesy of Qualtrics XM Institute) — Photo by University of South Carolina
Consumer concerns with AI (Infographic courtesy of Qualtrics XM Institute) — Photo by University of South Carolina

Robots are another visible application of AI in the hospitality sector. Robotic technology was already rapidly gaining popularity within the industry before COVID-19, and hotels have been utilizing service robots for over a decade to check-in guests, clean facilities, and deliver food to rooms, but now restaurants are also using robots to ease labor shortages and improve service. Restaurants like Wing Factory, Spyce, Chipotle, Wendy’s, and sweetgreen are using robotic servers and cooks to make burgers, fry tortilla chips, and deliver food to customers. Companies such as Uber Eats are currently experimenting with delivery robots and drones.

Entertainment venues, like the MSG Sphere in Las Vegas, are also employing robots to enhance the guest experience. Five Aura robots are located at the venue’s grand atrium, greeting guests as they enter, providing lost guests with directions within the venue and offering details on each day’s performances as well as answering questions about the Sphere’s engineering, technology and creative mission. Aura will use artificial intelligence to advance as she learns more about humans through guest interactions (note that Aura is a ‘she’).

AI is also impacting the sommelier profession, with wine recommendation software now available that uses AI to analyze a guest’s wine preferences and make personalized recommendations. Hypertaste, an ‘artificial tongue’ launched by IBM, is an example. Sofia Carta, Sommelier at Forte Village in Sardinia believes this type of technology will help, not replace sommeliers. Artificial intelligence can assist, but there must be a great professional behind it she says. Matteo Zappile, head sommelier at Pagliaccio in Rome agrees. Anything artificial only counts to a certain extent. It may work for calculating algorithms, what we like or dislike, but tasting is all about emotions that a machine cannot experience. The problem is that these emotions are subjective, depending on time and place. This is where I see the limits of technology.

Finally, the implementation of AI has led to the emergence in recent years of intelligent or smart servicescapes in hospitality settings. A simple example would be the smart hotel room, a network of interconnected devices and systems that provide every guest with a personalized and smooth experience. Various elements like lighting, heating, and entertainment systems can be controlled remotely, often through a guest’s smartphone or voice commands. Smart rooms represent the intersection of convenience, comfort, and cutting-edge technology.

But they are not just about enhancing guest satisfaction – they also help improve a hotel’s operational efficiency and financial stability. For example, using sensors and intelligent systems, smart rooms can adjust lighting, heating, and air conditioning based on occupancy and preferences. This not only reduces energy consumption but also lowers utility bills considerably.

But what do consumers think about the use of all this AI technology in hospitality? The research seems to suggest that customers – whether hotel guests or restaurant patrons – are open to the use of AI. In fact, a 2024 study of customer service from Intercom concluded that: Customers know how AI can improve their service experience – making it faster and more efficient – they’re unwilling to wait around for anything less.

Intercom surveyed more than 2,000 customer service professionals across a range of locations, roles, and company sizes to find out how AI was influencing customer service. In just 12 months, generative AI went from being an emerging possibility to a stop-you-in-your-tracks, drop-everything phenomenon. It’s transforming the customer service landscape at lightning speed, they said.

Bionic Bar on board Royal Caribbean’s Quantum of the Seas (Photo courtesy of Royal Caribbean) — Photo by University of South CarolinaBionic Bar on board Royal Caribbean’s Quantum of the Seas (Photo courtesy of Royal Caribbean) — Photo by University of South Carolina
Bionic Bar on board Royal Caribbean’s Quantum of the Seas (Photo courtesy of Royal Caribbean) — Photo by University of South Carolina

For those travelers who use it, AI plays a significant role in trip planning. A recent report on the future of travel by Deloitte suggests that about 16% of travelers use AI to plan their holiday trips, which sounds small until you consider the technology has only been widely available for a year or two. Excluding boomers, whose adoption remains in the mid-single digits, usage is over 20%. Deloitte predict that AI will become deeply integrated into travel search and booking platforms, meeting consumer desires for personalization, convenience and speed.

The same report, however, concluded that while automation has the potential to save travelers time or enable more fun and comfort, most still expect the human touch along their journeys. This is not to suggest that travel suppliers should not invest in automation. They should proceed gradually and thoughtfully, realizing that front-line workers play a key role in the travel experience.

New technology often appeals to consumers because of the novelty factor. The robot bartenders on seven of Royal Caribbean’s cruise ships are an example. Mixing up to 1,000 drinks a day, these “bionic bars” have been successful partly because they are an attraction as well as a service. Alessandro Incisa, project manager for Makr Shakr who created the robots says: You always have this kind of magical experience when the guest arrives and says, ‘Oh, look at that, there’s a robot on the counter—and it makes drinks!’ Makr Shakr are also aware that consumers like to interact with service robots that have human-like attributes, so they collaborated with famous dancer Marco Pelle, a principal dancer at the New York Theatre Ballet, by mapping his movements with a computer, then simulating them so that the robots make human-like movements.

As suggested above, service robots that can be given human attributes – including emotional qualities – are more likely to satisfy customers, according to research. In fact, one study found that a more human-like robot was more satisfying to customers only if perceived as female, consistent with stereotypical expectations for interpersonally-oriented traits. More important than designing robots to look human is for customers to perceive them as emotional beings, according to research conducted at the Henn na Hotel in Sasebo, Japan, known as the world’s first robot-staffed hotel. The study found that guests were more satisfied with their stay when they perceived the robots as having emotions, highlighting the importance of designing service robots that can express or simulate emotional behaviors to enhance customer satisfaction.

Hypertaste by IBM Research (Image licensed under CC BY- ND 2.0) — Photo by University of South CarolinaHypertaste by IBM Research (Image licensed under CC BY- ND 2.0) — Photo by University of South Carolina
Hypertaste by IBM Research (Image licensed under CC BY- ND 2.0) — Photo by University of South Carolina

But consumers do have concerns about the adoption of AI. In a recent global survey of consumers by research specialists Qualtrics, nearly half of those sampled were highly concerned about the lack of a human being to connect with if companies choose to use AI to automate their interactions with customers. They are also apprehensive about the poor quality of interactions and worried about the loss of jobs for employees, with 45% of respondents citing each as a concern. About the same percentage of global consumers are also concerned about misuse of their personal data if companies automate interactions with customers.

What this all shows to me is that yes, organizations that don’t adopt AI may struggle to keep up with customer’s rising expectations. But they should utilize a combination of artificial and human intelligence to effectively compete on customer experience. Successful companies all have one thing in common: they prioritize the human touch. These companies – like Four Seasons Hotels & Resorts, the Pestana Hotel Group, Martinhal, the Ivy Collection, Soho House, Royal Caribbean, Disney, the Lopesan Group and Taj Hotels – all understand the significance of the ‘moment of truth’, the moment when the customer interacts with the organization and the service is produced and consumed.

These organizations therefore invest heavily in recruiting and training staff to ensure these moments result in a high-quality experience for all their guests. So although AI is going to be increasingly important in our industry, hospitality professionals should not lose sight of the importance of face-to-face human interactions.

Reprinted from the Hotel Business Review with permission from www.HotelExecutive.com.

View source



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleC3 AI Stock Is Soaring Today: Here’s Why – C3.ai (NYSE:AI)
Next Article A New Trick Could Block the Misuse of Open Source AI
Advanced AI Bot
  • Website

Related Posts

Hyperscale Data Launches Advanced AI Customer Service Agent

June 6, 2025

Klarna CEO Sebastian Siemiatkowski might be calming his tone on AI replacement – but the future of customer service could be a two-tier nightmare

June 6, 2025

Meet the Trustworthy AI team at TD

June 6, 2025
Leave A Reply Cancel Reply

Latest Posts

Original Prototype for Jane Birkin’s Hermes Bag Consigned to Sotheby’s

Viral Trump Vs. Musk Feud Ignites A Meme Chain Reaction

Artists Accuse Dealer Reco Sturgis of Withholding Payments and Artworks

A Soulful Step Into Story, Self And Sound

Latest Posts

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

June 7, 2025

New MIT CSAIL study suggests that AI won’t steal as many jobs as expected

June 7, 2025

Pittsburgh weekly roundup: Axios-OpenAI partnership; Buttigieg visits CMU; AI ‘employees’ in the nonprofit industry

June 7, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

YouTube LinkedIn
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.