Improving Backend Systems for Hospitality Operations

Under Roberto Pacaccio's P&L leadership, GWT Hotels confronted a familiar set of challenges for small hotel groups: ❌ Fragmented systems ❌ Rising fixed costs ❌ Inconsistent staffing ❌ Limited tolerance for tech that doesn’t integrate cleanly. What made things even worse? 🌉 GWT Hotels operates five independent properties (164 rooms) in San Francisco - an unforgiving environment for inefficiency due to sky high labor costs, unionization and overregulation. Instead of solving problems piecemeal, GWT focused on building a tightly integrated stack that supports centralized decision-making, automation, and repeatable workflows across all five properties. Here's what they been able to accomplish with this approach: ✅ Four of five hotels now operate without a physical front desk, supported by centralized 24/7 operations and digital access workflows ✅ Five PMS platforms consolidated into one, dramatically reducing training time, system friction, and operational inconsistency ✅ Dynamic pricing automated via occupancy-based yield rules, eliminating manual daily rate shopping across the comp set ✅ Lower per-room breakeven through tech-enabled labor restructuring, not service degradation ✅ Vendor selection driven by integration maturity, with PMS as the system of record across locks, messaging, pricing, and accounting The tech that enabled these workflows? 👉 eviivo, RoomPriceGenie, Yext, OpenKey, Salto, ADP, Quickbooks This episode is a practical case study in how independent hotel groups can use modern hotel software to simplify operations, protect margins, and scale discipline...not complexity. 🎧 Full episode with Roberto Pacaccio on the Hotel Tech Insider podcast in the comments. #HotelTechnology #IndependentHotels #HotelOperations #RevenueManagement #HospitalitySoftware

There are hospitality businesses operating right now where the cameras already on the ceiling track every table, know the second a customer sits down, flag when a zone is understaffed, and feed all of it back to operators in real time. Wait times cut in half. Table turnover accelerating. No new hardware required. Now connect that to the financial engine underneath the business. Your POS data, your labour costs, your cost of goods, your margin by daypart. One layer sees what's happening on the floor. The other knows whether the business is making money. When they talk to each other you get something most operators have never had. A business that can see itself clearly and tell you where the next opportunity is. The system spots that your 2pm to 4pm window is consistently underperforming relative to foot traffic in the area. It recommends a staffing adjustment paired with a targeted offer. Within a week that dead zone is generating 18 percent more revenue. Not because someone had a hunch. Because the business saw the gap and closed it. This is already happening at scale. MIT studied 259 companies globally and found the ones operating with real-time capability had 62 percent higher revenue growth and nearly double the profit margins, not because they had better people or better products but because they could see what was happening and act while it still mattered. AT&T and Microsoft are deploying the infrastructure layer right now. Computer vision and IoT platforms are being installed across hospitality as we speak. The ability to turn any physical space into an intelligent operation that watches, learns, and recommends is no longer theoretical. We're moving into a period where running a business won't mean waiting three weeks for a report to tell you what already happened. It will mean knowing what's happening while it's happening and having a system smart enough to show you what to do about it. Think about what that frees up. The operator who used to spend Monday morning buried in last month's numbers will be spending it on growth, because the system already handled the operational detail over the weekend. That's not a better version of how business works today. That's a fundamentally different way to operate... and it's already here. The only question left is whether you're the operator who builds this in early, or the one still trying to figure out how your competitor got so far ahead so fast.

Marriott Reduced Linen Counting by 90%—But That’s Only the Beginning 90%. That is how much Marriott reduced linen counting time after implementing RFID-based linen management. An hour and a half of manual counting became 10 minutes. Housekeeping reporting dropped by 90%. Warehouse inventory time dropped by 80%. For an industry still relying on spreadsheets, clipboards, and manual counts in far too many places, this is not just an operational improvement—it is a signal that hospitality is entering a new era. The biggest problem in hospitality is not simply losing linen. It is losing visibility. Hotels often do not know: • Where inventory is • Which department is driving loss • Why depletion is increasing • When shortages will happen • How much money is quietly disappearing every month RFID is proving that hotels no longer have to operate in the dark. But in my opinion, this is only the beginning. Tracking where linen is today is valuable. Predicting where it will be tomorrow is transformational. The next generation of hospitality operations will not stop at RFID scans and dashboards. It will combine: → Real-time RFID visibility → AI-powered depletion and circulation analysis → Predictive inventory forecasting → Automated replenishment → Portfolio-wide visibility across every property At Laundris, we believe there is also a major opportunity to create a standardized platform that can be deployed consistently across hotel brands like Marriott as well as the management companies that operate them. Most hotel groups and management companies oversee multiple properties, multiple ownership groups, and often multiple systems. That creates fragmented data, inconsistent processes, and limited visibility. A standardized platform allows operators to: • Track linen consistently across every property • Benchmark performance between hotels • Identify which locations are experiencing the highest loss or shortages • Create one source of truth across brands, operators, and ownership groups • Scale best practices across an entire portfolio That is where the industry is headed. And it is exactly why we built Laundris. We believe the future of hospitality is a connected, intelligent supply chain that gives operators the ability to see problems before they happen—not after. Marriott’s case study is one more sign that the market is moving rapidly in this direction. Read the full case study here: https://lnkd.in/gbqiwvdj #Hospitality #RFID #Hotels #HotelTechnology #InventoryManagement #SupplyChain #AI #DigitalTransformation #Marriott #HotelOperations #IoT #LinenManagement #HospitalityManagement

There's a consistent theme in many of the conversations I'm having in the industry... many businesses are wrestling with the invisible weight of technical debt, while others in the industry are pulling away. At the heart of this is legacy systems, fragmented IT, and siloed upgrades that undermine innovation and ROI. Our latest research with Enfuse Group | B Corp™ reveals a stark reality where digital transformation has become a key battleground for survival. Successful businesses are increasingly defined by agility, scale and speed, which is widening the performance gap. Our research found that businesses investing in their digital transformation the longest plan to invest an average of £66m in digital transformation over the next 2–3 years, compared to just £17m among early-stage companies. Underlying this paralysis is tech debt, which has become a silent value destroyer. Fragmented systems, disconnected data, and under-investment in IT infrastructure are now the biggest barriers to transformation, driving ROI challenges and stalling scalability. We found that early-stage businesses focus on customer-facing improvements, while those who have been longer in the game are investing heavily behind the scenes in AI, automation, real-time inventory, and data-driven decision-making. This is creating the infrastructure for long-term competitive advantage and in my mind, we're seeing many of the successful businesses leveraging the benefits of significant levels of previous investment. Leadership and culture are critical. Only 22% of businesses say their digital strategy is fully aligned with their corporate goals. Without executive-level alignment and digital fluency, transformation efforts risk staying stuck in pilot mode. For retail and hospitality leaders, the message is clear: 💥 Build digital readiness before scaling investment: robust IT systems, data governance, and workforce capability are critical. 💥 Shift from cost-cutting to strategic investment: leading businesses are using AI and predictive analytics to unlock new revenue streams, improve decision-making, and future-proof their operations. 💥 Treat back-end infrastructure as a growth engine: true transformation happens behind the scenes as without it, customer experience gains will plateau. Download our report here 👇 https://lnkd.in/eSizaBXr

API is the backbone of modern tourism operations = API means efficiency An API is a system connection that allows tourism platforms (Hotels, OTAs, Bedbanks, Channel Managers) to exchange data automatically and in real time. In simple terms, API replaces manual work. Instead of updating rates, availability, and bookings manually on multiple systems, API connects them all so information flows instantly and accurately. What API Enables in Tourism • Real-time rate and availability updates • Instant booking confirmations • Reduced overbooking and pricing errors • Faster operations and scalability Why API Matters • Reduces manual errors by up to 60–70% • Improves booking speed and data accuracy • Supports seamless customer experience across channels Without API, teams react. With API, systems anticipate. In modern tourism, API is not a technical feature — it’s an operational necessity.

Maxwell Social has started building AI into our staffing. It's part of our diabolical plan to build a central system of record & context graph for the hospitality industry and make building and operating new social clubs truly scalable. The problem with automating staffing is there are so many exceptions. Perhaps you'd normally only staff one bartender for a certain number of guests but the private event client offered to pay more if you overstaffed. The amount of alcohol consumption & therefore bartending/bussing needs is highly dependent on everything from age (GenZ drinks less), activity (movie night vs happy hour), day & hour (weekday happy hour vs Friday at 11pm) payment structure (cash bar vs open bar) and more. It becomes a 25-dimensional matrix, and you are constantly having to apply context to whatever rules of thumb you have. Foundation Capital encapsulates this philosophy best in their recent article about context graphs: https://lnkd.in/dCcKBkiF Systems of record and the tech platforms that power them are not going to disappear, but they'll evolve and use AI to build an additional context graph on top of increasing sources of data. The more data sources you can integrate, the better context you'll have, and the better your AI can be. That's why Maxwell is rebuilding most of the standard hospitality operating stack in-house -- being able to know that most of the RSVPs to an event were last minute, what percentage got a free vs a paid ticket and what percentage are members is essential pieces of context for attendance and staffing our system wouldn't have if we just used Partiful. We've built our own checklist software that increases ops accuracy (through mandating photographs of key tasks and notifying superiors if something isn't accomplished) so we can better trust the veracity of our checklists and more confidently update our staffing decisions. Assembling an accurate context graph requires integrating more and more data and will give rise to more and more vertically integrated platforms like Maxwell.

Hotels are under pressure. Been awhile to research and Implement. Time is money..... Rising costs, compressed margins, labor shortages, and softer demand are forcing owners and operators to rethink how revenue is created and retained. The reality: Traditional revenue strategies alone are no longer enough. What is working today is a technology-led, automation-first approach that focuses on three core pillars: 1. New Revenue Streams • Upsell and ancillary revenue automation • Dynamic pricing and AI-driven demand forecasting • Digital guest journey monetization (pre-arrival to post-stay) 2. Guest Retention & Experience • Personalization through data and AI • Frictionless check-in, in-room tech, and smart guest services • Loyalty driven by experience—not discounts 3. Cost Optimization Through Automation • Reduced labor dependency without sacrificing service • Smarter operational workflows • Scalable systems that improve margins, not complexity Over the years, I’ve partnered with and implemented proven hospitality technology platforms—from AI and IoT to revenue management and guest experience solutions—that are already delivering measurable results across hotels and portfolios. This is not about “adding tech.” It’s about strategic integration that drives revenue, retention, and resilience—especially during challenging market cycles. If your property or portfolio is navigating revenue pressure and looking for practical, proven strategies, I’m always open to meaningful conversations. The hotels that adapt now will be the ones that lead when the market rebounds. #hospitality #hotels

Imagine this: You're managing your hotel from your phone while walking the property. Room status updates are live. A guest's early check-in is confirmed with a tap. Housekeeping sees the update instantly. No calling. No scrambling. No outdated systems slowing anyone down. This is the power of moving away from legacy tech and embracing a truly cloud-based PMS. Instead of wrestling with disconnected tools, your systems are fully integrated. Reservations, housekeeping, payments, reporting: all speaking the same language, in real time. Staff are more empowered. Guests feel the difference. And you’re not stuck behind a desk or tied to a server room. It’s not just about efficiency. It’s about agility, control, and delivering the kind of seamless experience today’s travelers expect. If tech is slowing you down, it’s not just inconvenient; it’s costing you time, money, and guest satisfaction. It’s time to imagine better and then build it. #HotelTech #HospitalityInnovation #GuestExperience