Hotel cancellations can cause issues for many businesses in the industry. Not only is there the lost revenue as a result of the customer cancelling, but this can also cause difficulty in coordinating bookings and adjusting revenue management practices.
Data analytics can help to overcome this issue, in terms of identifying the customers who are most likely to cancel – allowing a hotel chain to adjust its marketing strategy accordingly.
To investigate how machine learning can…Continue
Added by Michael Grogan on July 2, 2019 at 3:00am — No Comments
Someone said customer churn?
Nowadays everyone knows what is customer churn and how to predict and how to handle it. Even the junior data scientists have worked on a part of it (at least). Seniors have already created a prediction model to predict that a customer is going to leave or not.
But is that really simple? The answer is NO of…Continue
Added by Emre YAZICI on April 13, 2017 at 2:00am — No Comments
In 2017, it’s clear that the hospitality industry needs to prepare for even more disruptions that will unfold over the coming year. Airbnb, OTAs, start-ups, big data companies and loyalty program changes will remain the focal points to stay across this year.
As a hotel digital or revenue manager, you could get caught up in the hype, continue…Continue
Added by Mark Ross-Smith on January 6, 2017 at 9:30pm — No Comments