Hotel Tech Insider

What happens when the biggest threat to hotel owners isn't brands, OTAs, or labor costs—but AI? In this episode, Sloan Dean, former CEO of one of the largest hotel management companies in the United States, shares why he believes the hospitality industry's incentives are fundamentally broken, which hotel technologies actually move the needle, and why many operators may be underestimating the disruptive force of AI.

During his tenure as CEO of Remington Hospitality, Sloan Dean helped grow the company from roughly 80 hotels to more than 150 properties generating over $1.6 billion in annual hotel revenue. With a background in engineering, asset management, and hotel operations, Sloan brings a rare perspective that spans ownership, management, technology, and investment.
What we cover in this episode:
• The hotel industry's incentive problem is reaching a breaking point. Sloan explains how value has steadily shifted away from hotel owners toward brands, OTAs, management companies, and increasingly venture-backed software providers—and why that trend may not be sustainable.
• The technology investments that delivered the highest ROI. From labor management systems to revenue management platforms, Sloan shares the specific technologies that generated measurable operational and financial improvements across a portfolio of more than 150 hotels.
• Why AI could radically reshape hotel operations. Most industry leaders view AI as a tool to improve their existing businesses. Sloan argues something more disruptive may happen: AI could fundamentally change who captures value in hospitality and create entirely new operating models that challenge today's incumbents.
• The surprising lesson from leading large-scale digital transformation. Rather than chasing revolutionary technology, Sloan reveals why his first major wins came from fixing basic operational systems and how experienced operators can avoid one of the most common technology adoption mistakes.
• Where robotics will impact hotels first. Sloan outlines why housekeeping, laundry, engineering, and food & beverage may look dramatically different over the next decade—and what owners should be preparing for today.
Whether you're an owner, operator, asset manager, or hotel technology executive, this conversation offers a candid look at where hospitality is heading and what industry veterans should be doing now to stay ahead.

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What if your hotel ran itself - an “army of AI agents” handling everything from reservations to check-in - while your staff focused entirely on guests?
In this episode, Aejaz Sodawala, CEO of Yanolja Cloud Solution, shares a forward-looking blueprint for how hotel tech is evolving - from fragmented systems to unified, AI-driven platforms powering over 33,000 hotels globally.
Takeaways:
 Why data silos are quietly killing your AI strategy — and how to restructure your tech stack around a shared data layer to unlock real-time decision-making and automation.
 How leading operators are driving 20%+ direct bookings — using integrated booking engines, pricing transparency vs OTAs, and content-driven websites that convert.
 What “agentic PMS” actually means in practice — and how AI agents will replace repetitive roles (reservations, check-in, pricing) to free staff for higher-value guest interaction.

 Aejaz has spent 15+ years scaling hotel tech from on-premise systems to cloud platforms now used in 170+ countries. His perspective cuts through the AI hype: most hotels aren’t ready - not because of tools, but because of fragmented infrastructure. The surprising insight? The winners won’t be those adopting more tools—but those consolidating into fewer, more intelligent platforms.
If you’re rethinking your tech stack or planning your next phase of growth, this episode is required listening. Subscribe to Hotel Tech Insider for more operator-level insights—and share this episode with a colleague who’s still managing disconnected systems.

In this episode, Amano Group Managing Directors share how a 1,300-room urban hotel operator executed a full-stack overhaul—switching PMS, rethinking integrations, and redesigning the guest journey around automation, not tradition.
This isn’t theory. It’s a live case of what happens when you treat your tech stack as infrastructure, not tooling.
Key Takeaways:
How to rebuild your tech stack around integrations, not vendors. Why Amano replaced nearly every core system—and how they evaluated PMS integrations (not marketplaces) to reduce manual workflows and eliminate operational bottlenecks.
The operational playbook for removing the front desk. How kiosk + online check-in enabled a full shift to “ground floor staff,” cutting admin work and reallocating labor toward revenue-driving F&B and guest interaction.
Where automation actually delivers ROI in high-occupancy hotels. Why top-line impact is hard to isolate—and where they did see gains: task speed, error reduction, and process efficiency across housekeeping, CRM, and guest messaging.
What most hotels get wrong about AI adoption. Amano’s view: AI won’t just optimize workflows—it will fundamentally shift hotel roles from executing tasks to steering systems. The implication is organizational, not just technical.
 Most operators talk about adding tools. Amano rebuilt the system underneath—and made structural changes (like eliminating the front desk) that most hotels won’t seriously consider.
Subscribe to Hotel Tech Insider for operator-led breakdowns of what’s actually working in hotel tech—and share this episode with a colleague rethinking their stack.

Most hotels are trying to deploy AI on top of broken data. In this episode, the founder of Nomse—managing 26 independent hotels—explains why fixing your data layer is the real prerequisite to turning insights into daily decisions.
Why AI fails in most hotels: Without clean, connected data across PMS, marketing, finance, and operations, AI outputs lack context and produce little value.
How to turn data into daily decisions: Using pickup, pace, and on-the-books performance to guide pricing, marketing, and operational actions in real time—not just reporting.
How to track true revenue performance: Linking every booking source—including OTAs, direct, and offline B2B deals—to acquisition cost for a complete, actionable view of profitability.

Most hotel tech stacks are overbuilt and underused. This one isn’t. In this episode, Harmeet Mann—CEO and cofounder of a 30+ property management firm—breaks down how her team runs high-performing hotels using simple systems, tight workflows, and a stack that’s largely not hotel-specific.
Key Takeaways:
• How to eliminate operational silos across properties by structuring communication and task ownership into one shared system—so nothing gets lost between departments.
• A repeatable method for turning everyday operational mistakes (missed payments, duplicate vendors, dropped leads) into permanent process fixes using permissions, workflows, and SOPs.
• Why most hotel tech investments fail after implementation—and how to drive real ROI through training, adoption, and accountability (not more software).