pricing

In the hyper-competitive hospitality market, hotel pricing must be more strategic. Fortunately, this is where AI revenue management comes in

Whether you rely on attribute-based pricing or demand-based pricing, it’s important to find a balance between direct bookings and bookings via OTAs

In this discussion we look at how hoteliers can turn competitor intelligence into a additional revenue in a very simple way using readily accessible data

Thanks Booking.com for great service. Or should I say, “thanks hotel for rolling out the red carpet to Booking.com so that they can roll it out for me?”

Offer segmentation is a critical strategy for hotels looking to increase revenue, improve guest satisfaction, and stay competitive in a crowded marketplace

Getting a good overview of the on-the-books data, pick-up pace, and forecasts of all the revenue sources in a hotel operation offers numerous benefits

The elusive spectre of hotel rate disparity has long haunted the industry, causing frustration and confusion for both customers and hoteliers alike

Let’s explore how exactly you can use machine learning to streamline and enhance your revenue management processes

Price elasticity is a critical KPI for hoteliers. Understanding factors that affect it can help optimize pricing strategies and achieve higher profitability

Dynamic packaging can help introduce end-to-end booking coverage. Otherwise, travelers will rely on OTAs suggesting solutions for vacation-related problems