🏨 Hilton's Chatbot Now Handles 50% of Calls

What does it actually take to move beyond spreadsheets and build a truly strategic revenue management function? In this webinar, From Spreadsheets to Strategy, you'll hear directly from Duetto, GF Hotels and Cloudbeds on how modern hotel teams are replacing manual processes with real-time demand intelligence and automation.

Featuring insights from John Lingos Webb (Duetto), Tracy Martinez (GF Hotels), and Josh Graham (Cloudbeds), this session offers a practical look at what changes when revenue managers stop reacting to demand and start anticipating it.

👉 Watch the webinar and go from spreadsheets to strategy

A growing group of Marriott owners is pushing back against the economics of Marriott’s Bonvoy program, arguing that loyalty fees are rising faster than the value they receive. Bonvoy members now account for roughly two-thirds of Marriott room nights, up from about half a decade ago, leading some owners to question whether they're paying more to capture guests who would have booked anyway.

🎯 Why it matters: For years, loyalty programs were positioned as the alternative to OTA commissions. Now some owners are questioning whether loyalty costs are starting to resemble another distribution expense. As AI search, agentic booking, and new discovery platforms emerge, the industry may be entering a period where every intermediary—OTAs, loyalty programs, AI assistants, super apps, and metasearch platforms—is competing for a share of the booking economics.

🔑 Key takeaway: Loyalty economics are negotiable, but only with data and numbers in hand. Before your next brand review, calculate your blended reimbursement rate on award stays versus OTA and direct, then use that gap to push for transparency on the loyalty fund and reimbursement terms - individually, or with other owners in your flag. Read More →

HotelTechReport’s latest AI trends data shows a major shift in hotel tech coming out of this year’s HITEC conference. A year ago, hotel AI mostly suggested what to do next. Today it increasingly does the work itself—answering guests, handling leads, adjusting rates, and leaving only exceptions and judgment calls for humans. Across dozens of products we reviewed for this report, a consistent pattern emerges: AI has moved from assistance to agency, shifting from “recommendation systems” to “execution systems” that complete tasks end-to-end inside hotel operations.

🎯 Why it matters: The defining change is no longer whether hotels are “using AI,” but whether AI is taking action. Systems that once summarized reviews or suggested rates now respond to guests, qualify and work leads, and adjust pricing within guardrails. This reframes AI from a productivity layer into an operational one—directly impacting labor cost structure and revenue capture, the two biggest controllable levers in most hotel P&Ls.

🔑 Key takeaway: Hoteliers should evaluate AI not by features, but by delegation. The most meaningful divide in this market is between tools that assist staff and tools that replace discrete tasks entirely. As agentic systems expand across revenue management, sales, guest messaging, marketing, and back-office workflows, the competitive gap will increasingly be defined by how much operational work a hotel can safely hand over to machines—and how well its team manages the exceptions that remain. Read More →

Travel discovery and booking are shifting onto AI assistants and in-app social channels like TikTok GO, and the platforms winning those channels are the ones whose inventory is already machine-readable. This matters because most hotel websites were built for human eyes, not for AI agents that query structured data, so a property without JSON-LD or MCP connectivity is invisible to the systems increasingly standing between traveler intent and the booking. The hotels that fix their data infrastructure before AI booking volume scales will own the next decade's direct channel; the ones still adjusting rates are solving the wrong problem.

🎯 Why it matters: Machine-readability, not price, now decides whether you show up in AI-mediated search and booking. Implementing proper Hotel-schema JSON-LD on your site is the baseline that lets AI assistants and platforms understand what you are, what you cost, and whether you're available. Without it, you're not ranked low — you're absent, and no rate adjustment fixes that.

🔑 Key takeaway: Stop competing on rate and start competing on legibility. This week, audit whether your website carries proper structured data and whether your PMS or inventory can connect to AI agents (for example, via an MCP integration) — and put that work ahead of any new rate-parity push or cosmetic website redesign. Read More →

✅ Canary Technologies: Powerful but simple AI powered digital guest journey platform.

✅ Siteminder: Capture direct bookings, syncs rate and reduce OTA commissions.

✅ Duetto: Forecast demand, adjust room rates, and grow revenue profitability.

1️⃣ How to Bring AI Into Your Hotel Organization

To keep up with changing guest needs and rising expectations, hotels are adopting AI at scale. Dive into Canary’s research to see how AI is driving revenue growth, operational efficiency, improved guest experiences, and much more.

2️⃣ The Hotel Upsell Playbook

Learn why traditional upselling programs often fail to scale and what separates hotels that consistently grow revenue from those that rely on inconsistent frontline performance.

3️⃣ The New Era of Hotel Metrics Explained

Hospitality is evolving fast - and the traditional metrics you rely on to measure performance may no longer tell the full story. This guide rethinks occupancy, ADR, and RevPAR for the modern era and introduces 11 smarter metrics—from guest acquisition cost to staff turnover - that give operators a clearer view of what’s really driving success.

🤖 Hotels see strongest AI returns in service, marketing, and operations

🔎 Marriott launches AI search to reinvent travel discovery

🏨 Amadeus bets on AI copilots embedded across hotel workflows

📣 Most consumers dislike brands that lean too heavily on AI messaging

🍽️ American Express expands dining strategy with TheFork acquisition

📱 52% of UK travelers use AI-powered trip planning and discovery

⚖️ Privacy rules could force loyalty programs to rethink pricing strategies

🌱 Robot lawn mowers bring autonomous maintenance to reality

🚨 Amazon tightens controls as AI-generated content risks grow

🛡️ Chinese AI models show signs of gaming safety evaluations

🔧 IHG’s years-long tech overhaul begins delivering measurable results

Canary AI handles guest messaging, personalizes interactions, supports 100+ languages, and helps hotels increase upsell revenue while reducing staff workload.

👉 Reduce workload with Canary AI

The best operators don’t just keep up they stay curious. They demo new tools, test ideas in real workflows, and talk to peers to see what’s actually working. That’s how you find the small changes that compound into meaningful results. Pick your department below and commit to trying at least one new tool this week. Even a single demo can spark an idea that improves performance, saves time, or unlocks new revenue.

What if the biggest mistake hotels make with technology isn’t adopting it too slowly—but using it to reinforce outdated assumptions about how guests want to interact with your property? In this episode, Matt Dybing, Co-Founder and COO of Nuvho, shares a candid look at how leading operators are using automation, revenue systems, and smarter distribution strategies to outperform competitors.

Nuvho advises nearly 200 hotels across Australia and the UK, ranging from small regional properties to world-class luxury boutiques. With a unique vantage point across hundreds of tech stacks and revenue strategies, Matt brings a practical operator’s perspective on what actually drives performance - not just what vendors promise.

👉🏼 Check out our interview with Matt Dybing on Apple Podcasts or Spotify.

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