Innovation

When was the last time your sales team, revenue management team, and marketing team walked into a meeting and agreed on the numbers? For most hotel commercial leaders, the answer sits somewhere between "rarely" and "never." And that's not because anyone is doing their job poorly. It's because these teams have operated in silos for decades—sales chasing volume, revenue chasing rate, marketing chasing clicks — each with their own spreadsheets, their own KPIs, and their own version of reality. But the cost of that fragmentation isn't theoretical. It shows up in the group lead that went cold because the quote took four days, and the flash sale that cannibalized next month's corporate bookings, or the revenue meeting that burned an hour just getting everyone on the same page. In an era where speed is currency, this kind of friction isn't just inconvenient. It's expensive. It undermines the entire sales engine. AI is positioned as the much-needed solution to this problem. But where it actually fits into hospitality operations is not where most people expect. The most impactful AI applications in our industry aren't the flashy ones. They're the invisible ones—working behind the scenes to connect dots your teams can't connect fast enough on their own. What is an AI group quotation agent in hospitality? An AI group quotation agent is an automated system that processes inbound group booking requests—parsing unstructured data from emails, PDFs, and RFP submissions — and generates optimized contract proposals in minutes rather than days. In practice, this means a sales manager who typically spends their Monday morning buried in email threads, checking availability, coordinating with revenue management, and typing up a contract from scratch—arrives to find a fully drafted proposal already waiting. The pricing is optimized. The terms are standard. The inventory is tentatively held. All they need to do is review the logic, add a personal touch to the email, and hit "Send." In an industry where speed often wins, this is a major process upgrade. Hotels that respond first to an RFP have a significantly higher chance of winning the business— one study found 72% of first responders win the bid. Another 2024 study found that automation in RFP processes led to a 32% increase in supplier response rates and reduced average time to contract finalization from 45 days to 14 days. But here's the part that matters most: the agent doesn't operate in a vacuum. It cross-references live inventory against your revenue management system (RMS) and runs displacement calculations. Not just "can we fit this group?" but "if we accept this group at $200 per night, how much higher-rated transient business are we walking away from?" Total profitability, not just top-line revenue. Thoughtfully constructed guardrails ensure the agent operates within pre-set business rules. It won't quote below your floor rate on a peak weekend. If a request falls outside those parameters, it flags it for human review. It recommends. It doesn't decide. The shift here is significant. Your sales managers stop spending their

The new AI-powered feature automatically detects and matches lower third-party hotel rates in real time—eliminating manual claims, screenshots, and approval processes entirely, replacing the traditional Best Online Rate Guarantee model with a fully automated, real-time solution. Radisson Hotel Group has launched a leading AI-powered real-time hotel price matching technology, redefining how travelers book direct online. The new feature automatically detects lower publicly available rates for Radisson Hotel Group properties on third-party booking platforms and instantly matches them on RadissonHotels.com —removing the need for guests to submit claims, screenshots, or wait for manual approval. Unlike traditional best-rate guarantee programs, which require customers to identify lower rates and complete a manual claims process, price matching verifies and applies eligible lower rates automatically and in real time. The launch marks a major milestone in the Group's digital transformation strategy, establishing a new benchmark for price transparency and easy direct booking across the hotel industry. Today’s travelers expect speed, simplicity and confidence when they book. Price matching is our commitment to ensuring that guests who choose to book directly with us never have to wonder whether they could have found a better deal elsewhere. By automating the process in real time, we are making direct booking simpler and more transparent while delivering greater value to both guests and hotel partners. Gianni Di Fede, Global Chief Commercial Officer at Radisson Hotel Group Real-time pricing When a guest discovers a lower rate for a Radisson Hotel Group property on an online travel agency (OTA) or a search engine such as Google Hotels, the AI-powered system automatically verifies the discrepancy and matches eligible lower publicly available rates, redirecting the user to the hotel’s website without the need for any further interaction. The feature is live across all Radisson Hotel Group properties worldwide and currently covers rates from leading OTAs, including Booking.com , Expedia, Hotels.com , Agoda, Priceline, Trip.com , Makemytrip, and several others. Benefits for guests and hotels For guests, price matching offers the confidence of knowing that booking direct through RadissonHotels.com always delivers the best available price, saving time and effort. For hotel teams, the fully automated process removes the administrative burden of managing price match claims manually, freeing staff to focus on delivering exceptional guest experiences. The automated model also provides greater visibility into pricing performance and customer behavior, making it easier to measure impact and optimize direct booking strategies. Price matching forms part of Radisson Hotel Group’s broader digital innovation strategy focused on creating smarter, more seamless guest experiences through automation, AI integration, and enhanced direct booking capabilities. By replacing a legacy, reactive Best Online Rate Guarantee process with a proactive and fully automated solution, the launch reinforces the Group's continued investment in technology that simplifies travel planning while strengthening direct relationships with guests worldwide. Visit www.radissonhotels.com to find out how Price Match makes booking easier and effortless.

This article answers the question: Does AI enhance customer support, or does customer support enhance AI? Answer: AI enhances customer support when it handles routine tasks and empowers employees to focus on complex, high-value interactions, but when customers rely on humans to fix AI’s shortcomings, customer support ends up enhancing AI instead. It used to be that technology enhanced customer experience. A customer would call for support, and if the company had up-to-date technology, the employee would have the customer’s history in front of them, be able to search for the answers to a customer’s questions, and more. Overall, customer support was a human-to-human experience enhanced by technology. Over the past few years, this has shifted. More companies offer self-service options that are driven by powerful AI-fueled solutions. These tools are great when they work. For many simple questions and issues, these do work. However, when an issue or question becomes complicated, a human still has to step in and provide guidance, support, good judgment, and even empathy that customers need and, in many cases, hope for. So, are we reaching a point where AI enhances customer support, or where customer support exists primarily to fill the gaps AI can’t handle? Many organizations are trying to flip the model. Not that many years ago, employees used technology to deliver a better experience. Today, customers often start with technology and only reach an employee when it fails to help. My annual customer service research confirms this. More than half of U.S. consumers (53%) say they have received incorrect information from an AI self-service bot. Think about the times you’ve been stuck in an endless chatbot loop, repeating your issue over and over before finally reaching a live representative. When an employee or customer service agent joins the conversation, their first job is often not about solving the problem but instead solving the customer’s frustration that came as a result of the technology. That’s why the best companies aren’t using AI to replace customer support. Instead, AI acts as a filter, handling the routine questions, simple transactions, and repetitive tasks that slow down employees. When used correctly, AI frees up employees and customer service reps to focus on situations that, as already mentioned, require critical thinking, creative problem-solving, judgment and empathy. The danger comes when companies become so focused on automation that they forget the purpose of customer service. Customers don’t care whether their issue is resolved by a person, AI, or a combination of both, as long as it’s resolved quickly, easily and with low or no friction. When AI helps make that happen, it enhances customer service. When employees spend their time fixing problems that AI can’t solve, customer service ends up enhancing AI. The goal shouldn’t be to remove humans from customer support. As a matter of fact, the companies that have tried to do this have found that it doesn’t work. The goal should be to use technology to make humans more effective when customers need them most.

🎯 Iran's February 2026 conflict led to significant economic shifts in the Middle East, disrupting the region's tourism industry and costing an estimated $600 million daily in visitor spending. Saudi Arabia's Vision 2030 projects now face $2.1 billion in daily economic costs, delaying timelines by 2-4 years. Occupancy rates in Dubai and Abu Dhabi plummeted to 10-20%. The post-war recovery favors markets like Mecca and Medina, driven by religious tourism, highlighting a shift from expansion to sustainable, resilience-focused growth.

🏨 On its Q4 2025 earnings call, Marriott announced a collaboration with Google, allowing direct hotel bookings within Google’s AI Mode. CEO Anthony Capuano revealed plans to redefine customer acquisition, with $1-1.1 billion in technology investment for 2026, allocating up to 40% to digital transformation. Google's involvement led to a decline in Booking Holdings and Expedia shares by 4-7% in November 2025. Despite Google not being an OTA, it retains key decision-making data from the booking process.

🏨 Mews, led by CEO Matt Welle, published its API 13 years ago to support open integrations in hospitality. It now connects with 1,000+ partners. While smaller hotels can manage with 7-8 integrations, larger ones face costs with 15-30. To address limitations, Mews acquired Atomize for revenue management and Flexkeeping for operations. Consolidated systems offer data advantages, while independent properties might prefer simplicity. The choice depends on the hotel's needs and potential gains.

🏟 The 2026 FIFA World Cup will attract millions to North America, generating billions in economic activity. Events like Taylor Swift's Eras Tour also showcase this impact, creating compressed demand. This phenomenon puts pressure on infrastructure over a few days. Current technology optimizes transactions but not the holistic travel experience. The future lies in "Destination Intelligence," which integrates data to enhance visitor experiences. Thriving destinations will prioritize intelligence over sheer technological presence.

📈 In 2020, Ricky Daniels, Will Taylor-Jackson, and Steve Porter launched Trybe in London. Trybe operates in 400+ properties across 37 countries and raised $30 million in Series A funding from Five Elms Capital in January to expand into North America. The Trybe Overnights system integrates bookings across different platforms, achieving over £150,000 in sales at three pilot properties within two months. The contactless kiosk check-in caters to high-traffic locations, integrating two-way communication with existing property management systems.

🤖 On 30 June 2026, Shenzhen, UBTech Robotics launched the U1 humanoid robot, priced at US$17,650 to US$145,000, with over 13,000 pre-orders. Morgan Stanley revised its 2026 humanoid shipment forecast in China to 50,000 units, projecting 446,000 by 2030. Keenon and Pudu Robotics operate in 10,000 hotels and 80,000 units globally, respectively. Expected by 2027–2028, humanoids at sub-$50,000 will become hospitality standards. The sector must balance automation with human touch, emphasizing trust and data privacy.