technology

Sentiment analysis applies natural language processing (NLP) and machine learning to detect, extract, and study customers’ perceptions about a service.

Behavioural insights reveal the revenue potential of each guest, whether they stay a night or not. This precision enables you to optimize total guest spend

The use of blockchain technology in revenue management can be applied through inventory management, demand management and pricing strategies

As travelers increasingly book hotels online, having a booking engine will make all the difference between staying competitive and giving up direct business

Thourgh integration MasterYield’s PMS reservations data will populate Lybra’s Assistant, enabling the RMS to provide the most accurate real-time rates

What was once a simple directory listing with a link back to your website is now Google’s central hub for your hotel, aggregating review and pricing

With the anticipation of widespread vaccinations in late Spring, we are seeing early signs of pent up demand for meetings and gatherings

Revenue Managers may achieve top line forecasted revenue within 1-2%. But achieving a consistent hotel forecast at the segmentation level is rarely possible

While competition increases and new ideas are constantly being thrown out, upselling makes it one of the top actions for hotels to enhance performance

Revenue Managers have the reputation for working with number focused, unwieldy reports. Those can be hard to follow for department heads less familiar