A hotel’s property management system provides crucial information on average room rate, occupancy levels and RevPAR — all vital data sets for hotel revenue management. However, for in-depth forecasting, real-time market data and trends analysis, hotel revenue managers need to employ predictive analytics.
Suppose you operate a hotel with three room types: superior rooms, suites and pool villas. Because you’re in a warm climate, you’re anticipating high demand for the month of December. Looking 120 days into the future, how confident are you in your ability to determine the right incremental price increases between each of your room types?
I have built a decent number of API’s and integrations over the course of my career. Before joining Duetto to help develop its hotel technology, I was a lead engineer at Salesforce, where I built everything from dynamic DNS updates to RESTful implementations. The development always followed a similar pattern:
Judging by the comments and feedback I’ve received from a recent interview I gave to Tnooz, people are focusing intensely on the race between major hotel brands and online travel agencies to corner the market in hotel loyalty. Lots of players, on both sides of the hotel-OTA clash, seem to share Duetto’s view that personalized pricing is the future of loyalty programs.