Boom

Something is spreading fast: AI conversations that guests actually want to have. Property managers are hitting the big engagement numbers - without losing warmth, personality, or the human touch. The brilliance? You don’t need to teach AI how to speak anymore. You need to tell it what great looks like. Join Sab Mulligan with Soraia Shahid of Smith & Adams and Jodi Williamson of Dwell Property Management as they share how intentional selling, gamification, and truly on-brand AI are creating more loyalty, better stays, and more revenue. Sept 15 · 4 PM CEST / 10 AM ET · Zoom RSVP Link in the comments 👇 #boom #boomnow #vacationrentals #shorttermrentals #strindustry #str

"I can’t see myself without Boom. An AI that’s strong, and a team that’s always open to feedback, that means the world.” – Soraia Shahid, Operations Manager, Smith & Adams, Portugal. AI Agent Mia now handles 80% of guest communications across a fast‑growing portfolio of 300+ units, giving their human team the time and headspace to deliver outstanding hospitality. Curious what an AI teammate like Mia could look like in your portfolio? Book a session with our team: https://lnkd.in/dj5h_2-8 #boom #boomnow #ai #hospitality #propertymanagement

Most of what we’re seeing right now with AI in STR feels exciting. Connect a model. Build a workflow. Create something that finally matches how your business runs. For an industry that’s spent years adapting to software… this feels like a breakthrough. But there’s a gap between what works in testing and what holds up in real operations. That’s where things start to break. In Booming Insights #15, I go deeper into: • why “vibe coding” is gaining so much attention • where it works today (and where it doesn’t) • and what the next phase actually looks like Because the real shift isn’t just more flexibility. It’s moving from software you operate… to systems that operate with you.

Growth should feel like progress. But for Nick Taylor, Managing Director at Nox Cape Town, it had started to feel like pressure. With 250 units and a team of 23, the business looked strong from the outside. Behind the scenes, it meant constant firefighting, growing complexity, and less time to work on the business because he was buried in the day-to-day of running it. The turning point came when Boom started taking more of that operational load off the team. That’s when clarity came back, control came back, and growth started to feel right again. Watch how Nick made that shift with Boom. #boom #vacationrentals #shorttermrentals #ai #propertymanagement

We’re moving from adapting to software… to shaping software around how we actually run our business. That shift is bigger than it sounds. Because today, SaaS companies build reports based on how they see the business— not how you actually run yours. So when you need something specific, you’re stuck: You either wait for them to build it… spend hours with your team pulling and fixing data… or export everything to Excel and try to make sense of it yourself. So we asked a different question: What if the report started from you? In this video, I’m showing BAM Studio: → Create any report, on any data → Structure it exactly how you think → Save it as a static report that becomes part of your operation And once that happens, something shifts. You’re no longer adjusting to the system— the system finally adjusts to you. For example: In seconds, I can spot a property that jumped from $255 → $1,300 in utilities— and know something is wrong. That’s the difference. #Hospitality #PropTech #AI #PropertyManagement

8,000 hours. ~90 hours a day.~$80K worth of operational workload (at ~$10/hour). That’s how much work Boom handled for one company in the last 90 days. I wanted to sanity check it. So I spoke with Sab from Zzzing. I asked her how the team used to operate. She didn’t talk about numbers. She said: “ We were at a crossroads.The team was turning into a call center.” Before this—with roughly half the portfolio—they already needed 2 people per shift just to keep up. At today’s scale? They wouldn’t be adding a few hires.They’d be running a full support operation. And in seasonal markets, it’s even harder. You hire.Train.Push through peak.Then let people go… and start over again. Instead: Response times improved.Review scores went up.Guests get instant, consistent, multi-language support. And the biggest shift— They can scale without building (and rebuilding) a team. For years, the equation was simple: more volume = more people That equation is breaking.