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Near-Term Machine Learning Use Cases for Hospitality

Using interfaces to access the multitudes of information housed within a hotel's property management system (PMS), technology vendors have on their hands a literal treasure trove of first-party training data for machine learning applications. Any primary data extraction must nevertheless be focused around specific use cases that must be tested and verified before deploying in a live environment. Thus far, we've seen lots of discussion around what's possible in the abstract for machine learning, but outside of perhaps chatbots and algorithmic rate optimization recommendations, many of the purported use cases are not practical for the here and now.

Tomeu-fiol , Fergus-boyd , Simone-puorto , Dave-berkus , Adam-mogelonsky , Mark-fancourt , Vincent-somsen , Oracle , Partner-at-wayfare-ventures , Hotels-international , Microsoft , Global-hotel-technologies

Why High-Tech and High-Touch is the Only Way Forward in Hospitality?

Today there are 850,000 open positions in U.S. hospitality and leisure with NO TAKERS. Similar is the situation in Europe and APAC: a lot of unfilled hospitality positions.

Fergus-boyd , Mark-fancourt , Tristan-gadsby , Stanislav-ivanov , Adam-mogelonsky , Simone-puorto , Max-starkov , Partner-at-hotel-mogel-consulting-ltd , Hotel-mogel-consulting , Market-report ,

What is Web3 Marketing, and How can the industry benefit from it?

Amidst swift technological progress, marketing is undergoing a significant shift from Web2 to the dynamic realm of Web3. However, most people in the industry still do not have a clear understanding of what Web3 Marketing is. How would you define the fundamental differences between Web2 and 3 marketing? What successful marketing campaigns have effectively utilized Web3 concepts such as NFTs, blockchain loyalty programs, or decentralized content distribution? As Web3 Marketing emphasizes more personalized and interactive experiences, how can companies balance innovative approaches and maintain brand consistency? And, more important, how can traditional industries like hospitality, which often rely on personal experiences, leverage Web3 Marketing to enhance customer engagement and loyalty?

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How You Can Leverage the Power of AI and ChatGPT at Your Hotel

It’s everywhere – on the news, social media, industry publications, you name it. You simply can’t escape the ongoing talk about AI and ChatGPT. And there’s a good reason for it. Both solutions are game changers. And they’ve already begun to transform many areas of the hotel and travel industry -from guest communication to marketing and revenue management.

Gothenburg , Vastra-gotalands-lan , Sweden , Swedish , Laura-calin , Adam-mogelonsky , Wouter-wisselink , Fredrik-hultkrantz , Solutions-management-at-oracle-hospitality , Deloitte , Service-saa , Partner-at-hotel-mogel-consulting-ltd

Bridging the tech gap…What is Holding us Back?

In a recently contributed article on Hospitality Net, I asked myself the question of why we see a slow pace of hotel groups upgrading to contemporary tech stacks. Innovative and open-architecture applications that the hospitality sector has long anticipated are now accessible, providing vast and flexible options ready to be deployed. From data analytics, digital transitions, and understanding revenue flows to business intelligence, everything is available at attractive SaaS pricing. Modern technology solutions available today have the potential to transform our industry into genuine tech and data-driven entities. Yet, the question remains: why haven't all made the shift instantly? What's holding us back?

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How will AI solutions allow hotels to shift bookings away from the OTAs onto the direct channel?

Year to date, 2023 has seen a gamut of innovative solutions for hotels built upon generative artificial intelligence learning models, foremost among them being ChatGPT. The promise of these technologies is immense, ranging from back-of-house operational efficiencies to heightened service, new experiential offerings and precision guest segmentation.

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Web3: is Hospitality Lagging Behind other industries?

Among the pioneers of Web3 adoption, luxury brands have taken the lead. A recent study by CoinGecko reveals that an impressive 37% of apparel and luxury goods brands have already initiated Web3 strategies. As decentralized platforms, blockchain technology, and NFTs come to the forefront, a pertinent question arises: Are we on the brink of a seismic transformation in established branding paradigms? How can industries, particularly the traditional industries of travel and hospitality, harness this shift to their benefit? What inspiring success stories of Web3 are shaping the current landscape?

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Do the OTAs generate travel demand in hospitality?

Typically, the demand for tourism to a particular destination is a function of a myriad of factors, including general state of the economy in originating country and destination, levels of income of tourists, the cost of travel and time to travel from the tourists' homes to the destination, trends in price levels - increasing or decreasing, competition from other destinations, currency exchange rates, etc.

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Will AI Build the Metaverse?

Generative AI is not only capable of creating text, images, videos, and audio, but it can play a crucial role in building the Metaverse by contributing in several ways:

Lisam-lum , Adam-mogelonsky , Michael-cohen , Salman-halawi , Eli-strzelecka , Francesco-brasca , Sergio-schemeil , Roberto-garavaglia , Luca-lupattelli , Vincent-somsen , Edoardo-maria-bisignani , Julius-yls

ChatGPT: how to get the most out of your prompt?

With the emergence of AI-powered chatbots such as ChatGPT, hotels and travel companies can offer personalized and efficient customer service. Furthermore, generative AI provides new avenues for creating unique experiences and engaging with guests, while presenting an entirely new dimension for immersive travel experiences. What are the challenges and benefits of integrating AI in the hospitality and travel industry, and how can companies leverage these technologies to enhance customer satisfaction and drive revenue growth?

Sergio-schemeil , Hasan-algarhy , Matej-curda , Alex-ratto , Vincent-somsen , Adam-mogelonsky , Michael-cohen , Edoardo-maria-bisignani , Luca-lupattelli , Francesco-brasca , Garry-kasparov , Roberto-garavaglia