data

In revenue management, the search for optimal pricing strategies is perpetual. Traditional supervised learning models have limitations, especially when historical data is sparse

Revenue analytics empowers hotels to transform raw data into actionable insights that drive revenue growth and operational efficiency

For hoteliers to escape data silos, they need to start untangling their jumbled tech stacks and introduce the right technology to future-proof operations

From real-time data to the integration of Total Hotel Revenue Optimization, our industry is now being defined by adaptability and innovation.

We explore how total revenue leverages data to transform every aspect of a hotel, from pricing and inventory management to marketing and guest experience

By recognizing the influence of reception staff, hotels can create exceptional guest experiences, foster loyalty, and achieve their revenue management goals

Hi, welcome to another case study discussion. Today we focus on the challenges and rewards of a decision intelligence tool and it’svalue to a hotel commercial operation. To bring their […]

we look at four core challenges in revenue management and explore the potential risks posed by each challenge and offer advice for revenue managers and CEOs

As data moves between the hotel PMS and third-party services, it passes through networks which might not be secured, leading to potential interceptions

In order to monitor upselling performance, senior leaders need to determine which key metrics are most important