Hotelogix, a globally leading cloud-based hospitality technology provider, has implemented e-Invoicing for Tanzania hotels through a Virtual Fiscal Device (VFD) vendor. With this, hospitality entities in Tanzania using Hotelogix Hotel Property Management System (Hotel PMS) can issue digital tax documents to comply with Tanzania Revenue Authority (TRA) guidelines.
Over the next 12 months I believe we'll see further advances in agentic interfaces from Apple Intelligence, Microsoft Copilot+ PCs, and Google's agents on Gemini. These interfaces will create an entirely new shopping and booking channel that enables the AI agents to create complete itineraries (and customize them) with deep personalization that will not likely be available via other, current booking channels. The personalization of these itineraries will be based on what the AI agent knows about the traveler(s) based on previous bookings and interactions with brands. Instead of starting their travel planning with Google searches, travelers will ask the AI agent to do the work of building an itinerary for them.
AI is set to transform the hospitality industry significantly in the coming year, driving innovation and efficiency across various aspects of operations. Here are some key areas where AI will make a notable impact:
The question needs to be reworded to ask how Generative AI (Gen-AI) will transform the industry, as Predictive AI (P-AI) has been core to revenue management / pricing systems for decades. P-AI has also been fundamental to RPA - Robotic Process Automation - which links disparate systems that may not have APIs.
Let’s start with the second question. First, you need an AI strategy, and an AI strategy holds or falls apart with your data strategy. To use AI, you need to work with good, clean data. For example, suppose your systems are littered with duplicate profiles.
I believe there will be a large shift over a long period of time. However there's a visual aspect of information that doesn't exist in a query type conversational level. Visual and sound create the emotional reaction. So generative on an "answer my question" level I think yes, but not on an inpirational level.
I agree that we're witnessing the rise of a new, AI-driven interface to the internet, which will expand but not entirely replace today's web interface. GAI chatbots are the first step, worrying Google about the future of its profitable search engine.
In a word, no. Conversational interfaces have their place, but they would add friction to airline, hotel, and restaurant searches. Amazon some years back tried to promote and monetise voice search via its Alexa devices, but no one was interested.
Oh, that's a good one! I think the problem with our industry is that we tend to fear data as the nemesis of the 'human touch' (whatever that means). Henri is right about hierarchical organizational structures. I live by a quote from Ed Catmull, who says: 'If there is more truth in the hallways than in meetings, you have a problem.' Apparently, this seems to be a recurring theme in our industry, and I think data scientists are feared because they can show that the Emperor actually has no clothes.
Any hotel group which values the direct channel (brand.com) already knows that data science has been at the core of digital marketing in hospitality for many years. It's fundamental to customer segmentation, targeting and results measurement.
The data fragmentation in hospitality is a huge challenge the industry faces today. Guest and operational data lives in multiple "data islands" that do not talk to each other: PMS, CRS, WBE, CRM, ORM, CMS, DMS, Social Media and BI.
Data science is an area of expertise that needs specialists, similar to other areas like design and creativity. Typically, most companies have outsourced these non-core functions; in the case of creativity, to ad agencies, for example.
How will we roll out AI tomorrow morning and this next year? There are two answers here:
Behaviors of guests & sorting of all offerings (room, packages, meals, drinks, activities) based on previous behaviors. Much of this if done on a per person can be done using general purpose AI along with a just in time promp injection model.
PMS data is only one source of first-party data, and it's actually quite limited because it focuses only on past guests. A richer set of data is built when combining PMS with CRM data and direct website behavior data. Once powered by that dataset, some key practical applications are: Benchmarking: create automated competitive sets for each hotel and find opportunities for improvement.
According to a Perkbox survey, Hospitality is the fifth most stressful industry to work in, with 64% of employees suffering from workplace anxiety. Therefore, it is not surprising that a significant number of hospitality workers are reconsidering their employment situation and evaluating different career options. And, if possible, the COVID pandemic made things even worse: the 2022 US Job Market Report demonstrated that not only 45% of hospitality workers who have remained in the industry report lower job satisfaction now than before the pandemic,
but also that around 25% of the ones who quit the industry are not willing to work in it again.
Staff shortages create a knock-on effect of larger workloads, which can lead to disengagement and burnout if businesses don't find ways of readdressing this. The key is to zero in on tasks that are inherently more suited to automation.
High-tech, high-touch has always been at the core of good hospitality, it's just that 4-5 Star hotels tend to choose to hide the overt tech from guest view. A high-end, global hospitality membership company bans the use of guest mobiles and guest PCs/tablets after 6pm, and hides its POS inside drawers, but it's still a state-of-the-art system. Site receptionists are always heads-up and greet guests by name and appear to have no tech but are using a top-end CRM system that pops up guest pictures once the member taps their mobile as NFC identification on arrival.
For customer-facing hotel staff with the right personality traits (friendly and outgoing, positive attitude) it is a waste of their talents (empathy, communication skills, problem-solving abilities, adaptability) if they are spending hours on tedious admin every day.
According to a Perkbox survey, Hospitality is the fifth most stressful industry to work in, with 64% of employees suffering from workplace anxiety. Therefore, it is not surprising that a significant number of hospitality workers are reconsidering their employment situation and evaluating different career options.
Today's HIGH-TOUCH LOW-TECH business model in hospitality results in increasingly inadequate service and customer dissatisfaction. Currently, the poorly paid and trained employees, overwhelmed by labor shortages and mundane, repetitive tasks simply cannot provide better service.
In the realm of hospitality, we are witnessing a paradigm shift from a static, information-based web to a dynamic, AI-driven ecosystem. This transition is not just about technology; it is about reimagining guest experiences and operational efficiency. AI in travel is rapidly evolving from a supporting tool to a central interface, crafting personalised journeys for each traveller.
In the evolving 'travelverse', where cutting-edge technology intersects with the timeless allure of exploration, the travel and hospitality industry stand at the cusp of a revolutionary shift. The integration of blockchain technology and Non-Fungible Tokens (NFTs) promises to redefine the landscape of travel experiences, loyalty programs, and the very essence of cultural interactions.
Web3 and the whole decentralization element that comes with it, is an exponential evolution in the way the internet operates. Nothing more, Nothing less. Its not a choice of transition, but thats how entire technology landscape is going to evolve.
When thinking about decentralization in travel, I think it's very important to realize that these are not changes happening on top of the existing infrastructure and applications stack, but they are happening below. The precise region is the layer between the Internet and the applications.If we want to use a metaphor, we are not waiting for the meteorite to fall on earth.
When discussing the integration of Web3 in travel and across various industries, the primary question is not 'if' but 'when.' Consequently, the debate about balancing technological innovation with preserving genuine travel experiences and cultural interactions may be somewhat overstated.
The travel industry stands on the cusp of a technological revolution. Integrating blockchain, NFT, and decentralized systems promises to redefine travel's essence. Decentralization has immense potential, reshaping loyalty programs and introducing room tokenization, revolutionizing the way we perceive ownership and access within the industry.
The digital landscape is undergoing a transformative shift with the emergence of Web3. This new phase is characterized by its decentralized nature, powered by blockchain technology. In the realm of marketing, this evolution is not just a technological leap but a paradigm shift in how businesses interact with their customers.
Marketing has undergone significant evolution over the past century, progressing from a Product-centric approach (Marketing 1.0) with a primary focus on products and traditional media, to a Customer-centric approach (Marketing 2.0) where the rise of social media revolutionized companies' perspectives. This shift led to the establishment of digital marketing departments.