logo
EHL Innovation Rewind: Romy Abbrederis on AI Agents, Email Overload, and the Future of Hotel Workflows

EHL Innovation Rewind: Romy Abbrederis on AI Agents, Email Overload, and the Future of Hotel Workflows

Hospitality Net10-06-2025
During the EHL Open Innovation Summit, we spoke with Romy Abbrederis, Co-founder of Lobby, about how generative AI is reshaping hotel operations behind the scenes. Our conversation explored how Lobby tackles the complexity of reservation emails, why modular systems are key to adapting to different hotel needs, and how AI can support hospitality teams without replacing the human element.
Which technology or innovation do you think will reshape our industry the most over the next 5 to 10 years?
Definitely AI, especially generative AI. These agents can actually perform different actions—they can create recipes, book flights, access multiple sources, and reason through steps to reach a goal. Generative means they can execute, not just respond. We already know text-to-text, like ChatGPT, but now it's text-to-action or text-to-multistep execution. In the US, operator agents are already being used. Europe is still catching up. We are using US-based models like OpenAI's chatGPT, Google's Gemini, and Anthropic because of how fast they innovate, although there are promising European players like Mistral.
Can I ask you which problem you're trying to solve and how?
We are solving the problem of emails—specifically, reservation-related emails that overwhelm hotel teams. Some RFPs can take up to two hours to answer. What makes email complex is its lack of synchronicity. You can't just ask back and forth like in a chat. So we built Lobby to sit between the inbox and the reservation system. It pulls in the request, fetches data from the PMS, and can handle full reservation workflows—creating, modifying, and cancelling bookings. We focused on complex bookings, not the easy ones others tackle. What's different is our human-in-the-loop approach. That means the system prepares everything—rate plans, guest details, reply—and the staff approves or edits before it's executed. The AI doesn't just dump duplicate profiles into the CRM. It's precise and careful. We give hoteliers control, not replacement, and allow for full automation where appropriate—like with simple cancellations.
Do you agree with the statement that the human will never be completely out of the loop in hospitality?
It depends on the segment. If a hotel has a very simple rate setup—one category, one refundable and one non-refundable—it could be fully automated. But in many cases, especially premium properties, the service element matters. That's why we made Lobby modular. Some hotels want to create bookings with status inquiry first, some don't want to auto-book at all. Every hotel has its own logic, and we've built our tech to support that diversity. That's what makes it successful. It's also why we don't believe in a one-size-fits-all AI.
Can you see Lobby evolving beyond emails, for example with voice or instant messaging?
Definitely. We chose email because no one else is solving it at this level of complexity. But we are already planning for chat and voice. Voice is a bit different—you have less context, and it's real-time—but we are already deeply integrated with PMS platforms like MEWS and soon Oracle's Opera Cloud. So we are prepared. In the future, we believe there might not even be Booking.com as we know it. You'll talk to your travel agent, who talks to Lobby's agent. Our agent will handle the complexity and book the trip, fully conversationally. That's the vision we're building toward. And because our system is modular, we're also exploring partnerships with other hospitality tech vendors who want to stay competitive but don't have the infrastructure to develop this in-house.
About the EHL Open Innovation Summit 2025
This interview was recorded during the EHL Open Innovation Summit in Lausanne, where Hospitality Net joined as official media partner.
The event brought together a global mix of thinkers and doers to explore the future of hospitality, food, and travel through open innovation. What made it special was the mix of ideas, formats, and people. It was not only about tech or talks. It was also about people showing up, working together, and sharing energy in real time.
Key Figures
385 participants
48 speakers and contributors from more than 20 countries
7 innovation challenges collectively addressed
45 sessions
25 student volunteers
15 F&B startups letting us taste the future
1.5 days of connection, learning, and co-creation
Key Insights from the Summit
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

BCD Travel's report reveals business travelers' satisfaction with hotels and other accommodation
BCD Travel's report reveals business travelers' satisfaction with hotels and other accommodation

Hospitality Net

time07-08-2025

  • Hospitality Net

BCD Travel's report reveals business travelers' satisfaction with hotels and other accommodation

UTRECHT, The Netherlands – BCD Travel recently surveyed 1,035 business travelers worldwide to explore their choice of hotels and other types of accommodation, as well as their booking behavior and experiences during business trips. Accommodation preferences Most travelers opt for midscale (3-star) or upscale (4-star) hotels when traveling for business. Hotel location (77%) plays a major role in selecting a hotel, along with employer policy (56%) and cost (53%). Travelers who occasionally stay in apartments say this type of accommodation is more convenient for longer stays, providing more space and the option to prepare meals and do laundry. Searching, booking and paying Over three-quarters of business travelers use their company's online booking tool (OBT) to search for accommodation, while a third turn to hotel websites or apps. When booking, 84% use their company's OBT, one in five book directly via supplier websites, while one in 10 call the hotel. Three-quarters pay with a corporate credit card. Virtual cards are used rarely. Three-quarters of travelers say their employer sets hotel rate limits, one in 10 report no limits and 18% don't know if their employer sets rate limits. A high-performing hotel program is never static. It's a dynamic strategy shaped by continuous rate monitoring, traveler insights and agile adjustments. By embracing dynamic sourcing, travel managers can respond in real time to shifting needs and market conditions, creating programs that deliver savings, earn traveler trust and drive adoption. Teri Miller, executive vice president, Global Client Team at BCD Traveler behavior Personal preferences strongly influence hotel choices: 77% prefer chain hotels with familiar service standards and 73%stay at the same hotel when visiting a destination repeatedly. Wi-Fi and breakfast are the most frequently used hotel services. Other popular amenities include on-site restaurants and bars, parking facilities, fitness centers and flexible check-in/check-out. Travelers also value wellbeing-related features, such as complimentary bottled water, gyms, pools, spas and healthy food options. Travelers favor hotels that help them earn and maximize loyalty points, especially in North America where as many as 99% are members of a hotel loyalty program. Overall, eight in 10 participate in at least one program and many are enrolled in two or more. Two-thirds often or always choose hotels aligned with their loyalty programs. Three-quarters say their employer allows them to keep points earned from business stays, while 21% are unsure. Challenges While seven in 10 are satisfied with their company's hotel policy and preferred suppliers, there's still room for improvement. Common issues include slow Wi-Fi, breakfast not being included in the rate, outdated rooms and uncomfortable beds. A third report no challenges during the booking process. Among those who do, the biggest challenge is insufficient rate limits set by employers. Safety remains a concern. Three in 10 say they didn't feel safe in their hotel location and seven in 10 double-lock their doors when in their rooms. Sustainability Half of travelers rarely or never consider environmental factors when booking hotels. Four in 10 don't take any sustainability elements into account at all. Only one in five look for features like eco-certification, reduced single-use plastics, low carbon emissions, water-saving measures or limited housekeeping. Hotels may not be the primary driver of carbon emissions in a travel program, but they're still an essential part of a holistic sustainability strategy. Travelers often don't consider sustainability when shopping for hotels because most booking tools lack strong sustainability guidance in that category. We advise clients to embed sustainability into their annual hotel sourcing exercise and then clearly communicate expectations and targets back to travelers to help them make better choices. April Bridgeman, senior vice president of Hotel Solutions Click here to view the full survey report, including tips on how BCD's total booking and trip management platform TripSource® and BCD's consulting division Advito can help companies in building smarter, more sustainable hotel programs. With hotel sourcing season underway, the Connections with BCD Travel podcast is sharing expert insights into smarter hotel sourcing strategies. The August 14 episode will offer a timely discussion to help negotiate better rates for hotels in 2026. About BCD Travel BCD Travel helps companies travel smart and achieve more. We drive program adoption, cost savings and talent retention through digital experiences that simplify business travel. Our 15,000+ dedicated team members service clients in 170+ countries as we shape a sustainable future for business travel. BCD's leading meetings and events management and global consultancy services complete our comprehensive suite of solutions for all aspects of corporate travel. In 2023, BCD achieved US$20.3 billion in sales. For more information, visit Janneke Kraanen Manager, PR & Content Creation

The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized
The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized

Hospitality Net

time05-08-2025

  • Hospitality Net

The Lesson Behind Delta's AI Pricing Drama: Transparent, Not Personalized

As AI continues to redefine the boundaries of business optimization, a growing debate has emerged around the ethics of AI-driven pricing. The recent controversy surrounding Delta Airlines' CEO and the suggestion of 'personalized pricing' has rightly triggered public backlash. It also opens an important industry-wide conversation: how should AI be used in pricing and where do we draw the line? Personalized pricing—where different people are charged different prices for the same product or service based on personal data—is more than controversial. It's exploitative. Why This Moment Matters There's a growing risk that public perception will start to treat all AI-powered pricing as suspect, simply because some approaches cross ethical lines or are misunderstood. That would be a mistake and a missed opportunity. Personalized pricing based on individual data points is just one (problematic) branch of AI pricing. We need to distinguish between exploitative personalization and market-driven dynamic pricing, before the entire category becomes unfairly discredited. AI has the potential to make pricing smarter, fairer, and more adaptive but only if we're clear about how it's being used. The Ethical Line: Personalized Pricing vs Market-Based Pricing Personalized pricing might sound innovative, but it crosses a dangerous line. By using personal data—like customer profiles, demographics, or income proxies—AI systems can charge people different amounts for the same service based solely on who they are. This erodes trust, undermines fairness, and introduces bias that's hard to detect, let alone correct. Worse, it treats the individual as a target for extraction, not a participant in a fair transaction. But AI doesn't need to work this way. There is a better path: pricing that adapts to changing market conditions, not personal identity. This is where Causal AI comes in. Enter Causal AI: Learning From Demand Causal AI represents a new class of machine learning that focuses not just on correlations but on cause and effect. In pricing, this means understanding how market-level demand changes in response to different pricing strategies. Instead of asking, What is this individual likely to pay?, dynamic AI-pricing asks What is this particular room on this night worth? It's similar to how the market dictates the price of gold, it's only worth what the market is willing to pay at a moment in time, but the entire market gets the same price at the same moment. This shift is profound and powerful because 1) It enables dynamic pricing that adjusts in real time to demand conditions. 2) It avoids using sensitive personal data, focusing instead on observable patterns in aggregated behavior. And 3) It is explainable, because causal models reveal the 'why' behind pricing decisions, not just the 'what.' In short, causal AI enables pricing strategies that are not only effective, but also ethical and accountable. Transparent Pricing Builds Trust—and Performs Better Causal AI doesn't just avoid the pitfalls of personalization. It offers tangible advantages: Greater transparency : Businesses can clearly articulate how and why prices are changing. : Businesses can clearly articulate how and why prices are changing. Fewer regulatory risks : Avoiding personal data sidesteps many emerging privacy and fairness concerns. : Avoiding personal data sidesteps many emerging privacy and fairness concerns. Better long-term outcomes: When customers trust the pricing process, they're more likely to return—and recommend. Dynamic pricing doesn't have to mean dynamic trust. With causal inference, businesses can adapt intelligently to real-world conditions without alienating their customers. A Call to the Industry This moment, sparked by growing public concern, is a chance for our industry to reset. Let's reject opaque personalization models in favor of methods that align with fairness, transparency, and trust. Let's embrace AI not as a black box that guesses willingness to pay, but as a tool to learn how markets respond to price, and to act accordingly. If we don't make this distinction now, we risk AI pricing being misunderstood and rejected wholesale by consumers, journalists, and policymakers alike. That would be a disservice to the real innovation happening in this space; innovation that can improve outcomes for businesses and customers alike without compromising ethics. Whether you're a hotelier, an airline, a retailer, or a technologist: if you're thinking about how to apply AI to pricing, start with this question: Am I learning from demand? Or am I profiling the customer? The difference matters more than ever. TakeUp ensures pricing is fair for both sides—maximizing what your property is worth in the market while aligning with what markets are willing to pay at any given moment. Visit to learn more. TakeUp is an AI-powered revenue optimization platform built for independent hospitality properties, including boutique hotels, inns, bed & breakfasts, and glamping retreats. By leveraging AI-driven insights and expert revenue strategists, TakeUp helps properties maximize revenue and save time, seamlessly integrating with leading property management systems to drive profitability and operational efficiency. For more information visit Kelly Campbell Marketing Director TakeUp View source

Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai
Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai

Hospitality Net

time01-08-2025

  • Hospitality Net

Izzatbek Mambetov has been appointed Front Office Manager at 25hours Hotel One Central in Dubai

25hours Hotel One Central has announced the appointment of Izzatbek Mambetov as front office manager. With a decade of hospitality experience and a proven track record in guest satisfaction, Mambetov steps into his new role ready to elevate the guest arrival experience. In his new role, Mambetov will oversee all guest-facing operations, champion a high-performance team culture and help reinforce 25hours Hotel One Central as one of the city's most welcoming and surprising places to check in and switch off. Mambetov joins the team from Radisson Blu Hotel Dubai Media City, where he held dual leadership roles as rooms division manager and previously front of house manager. Over his four-year tenure, he drove substantial improvements across guest satisfaction metrics, introduced new onboarding and feedback programs, led system migrations and helped push the property to regional performance highs — including increased Radisson Rewards enrolment and a leap in online reputation scores. His leadership was integral to the successful rollout of new systems such as EMMA and Fiori PMS, as well as initiatives that boosted F&B upselling revenue and public review scores on and TripAdvisor. Originally from Uzbekistan, Mambetov holds a Diploma in International Hospitality Management from the London School of Business & Finance in Singapore, where he also trained with Accor Hotels. He is fluent in English, Uzbek, and Russian and is known for his attention to detail, solution-focused mindset and people-first approach.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store