Let’s look at a typical scenario where the RM system/team has identified an opportunity to increase rates during a high-demand period. ... For a while, no matter what hotels did, traveler demand and appetites seemed to be unlimited. But those days are now behind us. Current and future demand forecasts are not looking so hot right now.
I’m not a forecaster. I’m an operator with a bad habit of investing when I see a good situation. For the past several years, those situations have been scarce. ... This advantage will only grow over time as demand continues to outpace supply and fewer hotels step forward to improve their product.
The 2024 Summer Games offered a clear reminder that global events bring not only increased demand, but also increased expectations, scrutiny, and competition. ... last-minute domestic demand.
The article focuses on predictive analytics and machine learning applications for demand forecasting and competitor analysis, with Australian hotels reporting 15% booking increases for July-August. ... It’s another thing entirely to empower hoteliers with demand predictions that look several weeks or even months into the future.
Trybe to expand globally, accelerate development of its next-generation platform, incorporate AI- powered workflows to enhance guest experiences, and scale its go-to-market organization to meet growing demand ... Sales, marketing, and customer success scaling to meet accelerating demand.
LodgIQ promotes its Advanced Pickup Analytics module that provides 12-month booking pace visibility, claiming to help one client achieve +12% occupancy and another reach 97% forecast accuracy. ... Where is demand shifting? What’s the story behind the numbers? This is the clarity crisis. Most RMS platforms limit pickup analysis to a few weeks ahead. Reports are static, fragmented, and reactive.
From more accurate demand forecasting and dynamic pricing to AI-assisted service design, guest feedback analysis, and personalized family offers.
Algorithms predict demand, robots carry towels, and chatbots have mastered the art of answering “What time is breakfast?” in seventeen languages. Impressive, yes. ... They’ll need to read an AI forecast while also reading the room. ‘Guidance’ is the crash course in becoming AI-literate but human-savvy. AI gives the data.
These technologies help chefs and kitchen managers accurately forecast demand, optimize portion sizes, and creatively repurpose leftovers, leading to impressive waste reductions of up to 50–69% in some
Commercial Strategy: Utilizing forward-looking demand intelligence rather than relying on historical occupancy curves. ... Automation and AI-supported analytics allow operators to forecast demand more accurately, adjust staffing models and streamline procurement.
Intelligent systems will monitor consumption rates in real-time, cross-referencing them with occupancy forecasts and upcoming group events. ... It transforms the system from a “black box” that demands blind trust into a transparent partner that builds confidence.
Pricing may have become more responsive to demand. But the emotional experience of hospitality, the feeling of being understood and cared for, has largely remained the same. Check-in may be quicker. ... What is new is behavioral forecasting. Traditional revenue systems analyze past demand, seasonality, and competitor pricing.
The same trend has been observed in Mexico City and Monterrey, both driven primarily by business demand. ... Looking ahead, forecasts for 2026 are positive but tempered by broader economic risks.
For example, international arrivals to the United States fell by 7% year-over-year in May 2025, showing how quickly demand can dip. ... Because the sector is influenced by so many factors, demand forecasting is difficult and can result in operational inefficiencies and financial risk.
Running hotel operations in 2026 will demand tighter coordination, smarter planning, and proactive decision-making across every department. ... updates Quarterly performance reviews + productivity benchmarks Strategic Planning Milestones Track major initiatives and planning cycles, including: Budgeting & forecasting season (Aug–Oct) CapEx planning
RevPAR growth forecast to 0.1%. ... Our strategic segmentation and sales-driven focus allow us to offset slower business travel with rate strength and targeted leisure demand.
Even when the on-the-books position looks thin, if long-term pickup patterns and forecasted demand are strong, the correct move is often to stay the course instead of dropping $20 and triggering a cascade ... How should I adjust my forecasting process in an uncertain environment? Ditch static annual forecasts.
The influx of international investors, many of whom are accustomed to working with hotel asset managers, further reinforces this shift, thus driving demand for a more structured and professionalized HAM ... Historically, traditional lease structures limited asset managers’ ability to drive value creation, but shifting ownership models and more international investor profiles are fuelling demand for managers
Nearly two-thirds of hotels in the US report ongoing staffing shortages, and forecasts point to a multi-million worker shortfall in European hospitality over the next decade. ... Sharper revenue strategy with Atomize, a Mews company: Revenue teams using Atomize can edit their competitor sets in the tool to keep pricing sharp as demand shifts.
This is clear from the unprecedented explosion in the branded residences sector, which has grown by almost 200% in the last decade and is forecast to more than double between now and 2030. ... Cognitive health is key, with increasing demand for "gyms for the mind" that address information overload and mental health, integrating ancient wisdom (like Ayurveda) with modern science to allow guests