pricing

By leveraging Offline Reinforcement Learning to optimize pricing and On-Demand Intelligence, airlines can achieve a new tier of revenue maximization

Shoulder season guests travel for different reasons than in peak. That means you don’t “sell the same stay cheaper”, you sell a different reason to book now

AI Hotel pricing is no longer about experimentation or early adoption. It is becoming the foundation of modern revenue management

RevPAG provides a comprehensive view of the total revenue generated by each guest, making it a useful profitability metric especially non-room revenue

Hotels that articulate why they are worth the price – through storytelling and personalization – will outperform those that compete primarily on rate

From personalising guest interactions to optimising marketing campaigns, AI offers opportunities to elevate operational efficiency and guest satisfaction

Let’s take a look at a few inspiring examples of how hotels can bring the winter spirit to life through personalized website experiences

Not only can pricing become more personalised, but also the entire package and experience. I expect attributes and individualisation to play a bigger role

As a visitor levy starts to roll out, you will face an extra cost on bookings in some locations and you will need to make a decision

To move towards an active strategy, you need to build your logic around pickup and pace. Here is how to turn your hotel forecasting into a growth engine