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.
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.
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?
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.
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?