🏨 VAI Resort Deploys 12 AI Apps

Relying on PMS-native distribution can leave revenue opportunities on the table. SiteMinder works alongside your PMS to expand reach, automate pricing and distribution, and turn live market demand into smarter revenue decisions.

Used by 53,000+ hotels across 150 countries, SiteMinder complements your PMS with the distribution, intelligence, and revenue tools built to help fill more rooms at stronger rates.

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Apollo tracked 321 occupations over a decade and found employment in AI-exposed roles held steady while wage growth fell 6.7 points behind everyone else. The lower the pay, the bigger the gap: 10.7% in the bottom quartile, 24.3% in service work. Customer service reps are on the exposed list, which puts your reservations team and your front desk squarely inside it.

🔑 Key takeaway: If your AI business case promises fewer people, it will miss, because that is not where the money is showing up. Rebuild it around what your existing team gets done in a shift. Then pull your front desk and reservations pay bands and compare them to your market, because compressed wages in your lowest-paid roles turn into a turnover bill long before they turn into savings. Read More →

Airbnb started at the bottom of the funnel on purpose. While competitors raced to put AI into search, Chesky pointed his team at customer service because it was the hardest problem in the business. The assistant now closes nearly 45% of inquiries with no human involved, up from a third at the end of last year, running in 50-plus languages. Support cost per booking fell roughly 16% year over year. Search came second, and only after the hard part worked.

🔑 Key takeaway: Chesky's own line was that AI feels like magic but is not, and that being good at AI means being good at data and infrastructure first. Airbnb spent years cleaning up its data warehouse before any of this shipped. Pick the ugliest, most repetitive volume in your operation, front desk calls, reservation changes, the same six questions every night, and fix that before you touch anything a guest sees. That is where the cost per booking actually moves. Read More →

Bill Legrand, executive director of commercial applications at VAI Resort, drew a hard line on what he would and would not build. Property management, payment processing, core CRM and POS stay with vendors, because those systems are hardened and already integrated with each other. Everything in the long tail is now fair game. He built a tool that pulls all of VAI's Salesforce and Marketing Cloud data through the API, encrypts it in flight and drops it into their own storage, then did the same for Mailchimp. When a vendor quoted six months to implement single sign-on for a commercial application VAI had purchased, Legrand and one IT staffer built SAML into their own tool in about four hours. He spends roughly 20% of his time on this and pays $200 a month for the coding subscription.

🔑 Key takeaway: The blocker is data, not engineering. Legrand pulled every SOP into a database expecting to query them conversationally, and got answers that were partly right with unrelated fragments mixed in. The documents followed a template but were written as statements rather than procedures, so the tool could not parse them. He rebuilt the project as a standardization engine that splits inconsistent SOPs into discrete procedural steps, shows the original author what changed and why, and versions the result. Before funding any AI project, pick one document set your team already relies on and check whether it is written consistently enough for software to read. Read More →

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

✅ Sojern: Pay-for-performance hotel ads that drive direct bookings.

✅ Hireology: Find and hire reliable staff faster to fill key hotel roles.

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

✅ Duetto: Grow NOI with a holistic revenue & profit operating system.

✅ FPG: Upsell highly profitable ancillary upgrades and track performance.

✅ Upriser.ai: Use realistic voice & video AI add a human touch to every guest journey.

✅ MARA Solutions: Tap insightful feedback analysis and automate review management with AI.

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 How Independents Can Leverage Loyalty to Drive Repeat Bookings and Higher Guest Spend

Traditional loyalty programs dilute value with complexity and price-driven incentives that strip independents of what makes them special. Learn how to restore real loyalty to hospitality, empowering brands to connect with guests through personalization, experience, and genuine recognition.

📊 Economy hotels grew occupancy 4.6 points in H1 but lost 2.7% of RevPAR.

💸 Forrester found 55% of employers regret AI layoffs and expects half to be quietly reversed offshore or at lower wages.

🏠 HomeToGo cut chat escalations 85% with AI as net loss widened to €58.2M.

🏨 Wyndham gave 5,000 hotels the same free AI platform; engaged operators made $200K, passive ones made nothing.

🔍 54% of travelers plan trips with AI, but only 22% of destination sites offer it.

🚨 Travelodge's CEO resigned over a key-card failure while revenue rose 4.2%.

FPG uses AI to analyze frontline performance data, uncover patterns, surface revenue opportunities, and deliver actionable coaching insights for hotel teams.

👉 Unlock smarter upsell revenue with FPG

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 happens when an experienced hotel technology leader uses AI to extend what his team can build, analyze, and improve?

In this episode, Bill Legrand, Executive Director of Commercial Applications at VAI Resort in Glendale, Arizona, shares how he has used AI-assisted development to build roughly a dozen internal applications while preparing one of the industry’s most ambitious new resorts for opening. VAI combines hotel operations with a 14,000-person amphitheater, water attractions, and entertainment experiences, creating an unusually complex technology environment.

👉🏼 Check out our interview with VAI Resort’s Bill Legrand on Apple Podcasts or Spotify.

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