The HotelTechInsider podcast interviews the top leaders at the convergence of hotels, travel and technology. Guests include founders, executives, top hoteliers and industry organization leadership. Find all of the episodes at hoteltechreport.com
Hotel Tech Insider
Claim This Podcastby HotelTechReport
5.0(22 reviews)
82 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
The HotelTechInsider podcast interviews the top leaders at the convergence of hotels, travel and technology. Guests include founders, executives, top hoteliers and industry organization leadership. Find all of the episodes at hoteltechreport.com
Language
🇺🇲
Publishing Since
7/13/2017
2 verified contact emails on file for Hotel Tech Insider
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 7, 2026
CEO of Frontline Performance Group on Scaling Hotel Upselling with AI
Host [Host Name] interviews Geoffrey Toffetti, CEO of Frontline Performance Group, about leveraging AI for hotel upselling and the future of hotel technology.
June 22, 2026
$1.6B Hotel Portfolio CEO on Who Wins the AI Era
Sloan Dean, former CEO of Remington Hospitality, discusses how AI disrupts the hotel industry and reveals impactful technologies for owners in this interview.
May 5, 2026
CEO of Yanolja on AI Agents Running Hotels
<p>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?</p><p>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 23,000 hotels globally.</p><p><strong>Takeaways:</strong></p><ul><li> <strong>Why data silos are quietly killing your AI strategy</strong> — and how to restructure your tech stack around a shared data layer to unlock real-time decision-making and automation.</li><li> <strong>How leading operators are driving 20%+ direct bookings</strong> — using integrated booking engines, pricing transparency vs OTAs, and content-driven websites that convert.</li><li> <strong>What “agentic PMS” actually means in practice</strong> — and how AI agents will replace repetitive roles (reservations, check-in, pricing) to free staff for higher-value guest interaction.</li></ul><p><br> 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.</p><p>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.</p>
82 total episodes available with 18 transcripts
Similar Podcasts
Discover related shows you might enjoy
Deep-dive analytics for Hotel Tech Insider
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Hotel Tech Insider?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 9 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.