pricing

Hear how XLR8 RMS leverages Artificial Intelligence to empower hoteliers with forecasting and price recommendation to business intelligence for revenue

5 case studies which can help hoteliers looking to optimize revenue, develop sophisticated pricing strategies and refine revenue management strategies

By offloading repetitive tasks to AI, revenue managers can focus on higher-value activities that require human expertise and critical thinking

Continuing to use manual and fixed pricing in times of unprecedented variability in demand introduces unnecessary risk

Benchmarking is not a one-time exercise but a continuous process that requires patience and a broad view of your market

With a dash of innovation and a sprinkle of savvy strategy, hotels can turn the tide and transform weekdays into a vibrant canvas of bustling bookings

Your legacy RMS may have served you well in the past, but the old systems aren’t sophisticated enough to keep your hotel competitive

Incentive structures prioritize short-term financial metrics like RevPAR and RGI, which leads to the neglect of the long-term benefits of direct bookings

To enhance monthly RevPAR, hoteliers must adopt strategic approaches that leverage market insights, guest preferences, and current trends

Execute hotel revenue optimisation strategies and you’ll optimise your revenue by making as much money as possible from a limited resource: your rooms