Markets with strong event calendars continue outperforming, while locations lacking demand generators face ongoing pressure. ... The forecast suggests 2026 will be a year of steady improvement rather than explosive growth. Read the forecast → Signals Breaking even requires smarter strategies.
This starts with rolling cash flow forecasts that align immediate expenses with annual capital goals. ... Beyond the immediate financial impact, these investments meet growing demand from ESG-conscious investors and corporate travel buyers.
From answering in-room dining calls in any language and managing guest communications with real-time operational context, to powering call centers and forecasting demand, VIVI serves as a unified platform
Where the Impact Will Be Felt Most Revenue & Commercial Strategy AI-driven forecasting and dynamic pricing will eliminate manual spreadsheet-based revenue analysis. ... But senior commercial leaders who understand positioning, demand elasticity, and feeder markets will become more valuable than ever. The machine predicts. The strategist decides.
“Our revenue intelligence tools are designed to help properties like this transform data into strategic decisions that can be clearly explained, bringing together market trends, demand forecasts and competitive ... “Having deeper visibility into demand patterns and pricing dynamics allows us to respond quickly and thoughtfully to market conditions, which is vital in today’s landscape.”
Others, including Columbus and Charlotte, are beginning to see an increased demand because they serve as hubs for specific industries. ... These findings indicate that business travel is expected to remain strong in 2026, with global business travel spending forecasted to reach $1.7 trillion in 2026, an 8% gain compared to 2025.
LodgIQ has given us better visibility into demand trends and pricing opportunities in real time. We’ve already seen improvements in forecast accuracy and more confident decision-making from our team. ... The system analyzes multiple data sets including historical booking data, market demand signals, and competitive benchmarking.
LodgIQ’s platform was chosen for its robust analytics, advanced explainable AI‑driven demand forecasting, and ability to integrate seamlessly with existing hotel systems. ... Their capabilities in accurate forecasting and dynamic pricing will help us better respond to market demand, maximize RevPAR, and support growth across our portfolio.
Survey of hotel leaders reveals strong interest in AI for reducing manual tasks and improving forecasting, with emphasis on transparency and human oversight in financial operations. ... When routine tasks are streamlined and financial insight is surfaced earlier, hotel teams can operate more efficiently, align labor more precisely with demand, and protect profitability over time.
The integration allows hotel groups using Daylight PMS to automate pricing and forecasting through FLYR's AI platform without switching systems. ... The integration gives hospitality operators seamless access to automated pricing, real-time forecasting, and unified performance analytics through their existing property management system.
For example, in the morning you may have lower rates because your occupancy is low and demand is not strong. However, by evening your supply may have reduced and demand could be growing. ... This will help your hotel drive more demand than other properties in the area. 2.
Hotels largely held rate, but demand became more selective and revenue slowed. We’re also seeing the industry split in two. ... RevPAR fell nearly 10%, signaling occupancy and demand mix – not pricing – drove performance pressure.
The collaboration will integrate LodgIQ's platform to support Une Autre Chambre in advancing its guest experience strategy and unlocking new revenue opportunities through better demand forecasting and ... The collaboration will integrate LodgIQ's platform to support Une Autre Chambre in advancing its guest experience strategy and unlocking new revenue opportunities through better demand forecasting and
Airline data also indicates strengthening shoulder-season demand. ... Despite persistent cost pressures and a moderating global economy, travel demand for Europe remains steady.
It has to be managed by demand. Staffing levels must match occupancy levels, and that alignment has to happen quickly. If it takes a month to correct labor, the month is already gone. ... In that situation, it is tempting to talk your way through the problem with strategy and forecasts. Strategy matters, but it does not replace discipline.
LARC CEO discusses how income inequality creates divergent demand patterns between luxury and budget hotels, with 2026 World Cup adding complexity to market forecasting. ... Takeaways The hotel industry is experiencing a shift in demand dynamics post-pandemic, with leisure travel rising and corporate transient demand declining.
LodgIQ's explainable AI platform will provide real-time demand insights and pricing recommendations to the seven-apartment boutique property near Évora. ... Working with LodgIQ has given our team a consolidated view of demand trends and performance metrics that we previously lacked.
That requires a fundamental shift: From headcount-based planning to labour standards-based models that tie staffing directly to forecasted demand and service expectations. ... What This Looks Like in Practice Forecasting demand by outlet, meal period, or event—and aligning labour needs accordingly.
The Slow Gallop: Operational Intelligence In the near term, expect AI to deliver measurable gains in operational precision: 🎠 Predictive labor scheduling aligned to demand curves 🎠 Energy optimization ... across HVAC and lighting systems 🎠 Automated, context-aware guest communications 🎠 Enhanced demand forecasting and micro-segmented pricing These are margin stabilizers.
As hotels face increasingly complex demand patterns and distribution environments, seamless connectivity between core systems has become essential. ... Through automatic synchronization of rates, availability, and reservations, revenue managers gain a unified, real-time view of performance and demand.