Data security - tips & tricks: what hoteliers should pay attention to

Nowadays, buzzwords like "Machine Learning" and "Artificial Intelligence" (AI) are also influencing the choice of new hotel tech. As it is often the case, individuals are faced with the decision of sticking with an old, tried-and-true approach or venturing into innovative and future-proof paths that might still be somewhat elusive to them. This article will shed light on the jungle of technical terminology and, with the help of examples from Hotellistat's Revenue Management System ARIS, provide an easily understandable explanation of what these terms encompass.

This article delves into three distinct data streams: weather and event data, holiday data, and their game-changing potential on hotel revenue management. With understandable and replicable examples, the article elucidates how the AI-powered revenue management system ARIS ingeniously leverages these data streams to empower hoteliers.

Today we are not talking about the Greek god of war, but Hotellistat’s AI ARIS (Automated Revenue Intelligence System). As a multi-talent, ARIS fulfills a multitude of tasks and functions to relieve hoteliers of time-consuming and time-sensitive tasks.

A hotel's reputation is crucial to its success as it portrays the experience prospective guests can expect. However, the profound impact and synergistic effects of both positive and negative reputations on revenue are often overlooked in revenue management, despite their significance. This article examines the influence of the management response rate and explains simple and time-saving methods to leverage guest reviews for revenue growth.

According to an analysis by Franz Hartl, former managing director of the ÖHT (Austrian Hotel and Tourism Bank) and lecturer for tourism management at the IBS Institute, there are some revenue emperors among Austrian hotels that achieve up to five times higher revenues than the Austrian average for companies in the 4- and 5-star hotel industry.

For some time now, the hospitality industry has not been the only one struggling to fill open positions. The decline in the labor force will continue in the coming years due to demographic changes and will have an impact on our working world. The following article focuses on how to address the staffing shortage in the hospitality industry. Experts were interviewed and considerations were made as to what extent the use of AI systems may be useful and necessary. The core findings are addressed below.

The hotel industry has changed significantly in recent years, particularly as a result of the Covid pandemic. The hotel industry is becoming increasingly dependent on technology and digitalization, especially due to the migration of skilled personnel. Artificial intelligence (AI) as such has been around since the 1950s, but only in recent years has it advanced to the point where it can be used in the business world. AI essentially means that computers or machines perform activities that previously required cognitive functions.

Personalization sells: fact. And it sells particularly well in the hospitality sector. According to McKinsey & Company, brands that use individualized marketing tactics such as personalized emails can generally expect a 40% increase in revenues1. But when you look at the hotel industry specifically, the figure is even higher at 76 %².

It has been on everyone's lips for years: “Total Revenue Management” (TRM). But what exactly does it mean, what are the most important key figures, and how to start?

When was the last time you conducted a proper competitor analysis? And what exactly is a competitor analysis and why would you need one for your property?

The bad news never stops Inflation, staff shortages, rising energy prices there is no end to the challenging times in the hotel industry.

Never more needed than at the moment: increases in revenue to at least cover inflation and the rising food, energy and personnel costs that go along with it. But what strategies are available to hotels besides raising prices? We have summarized some examples:

Ash cloud, more and more supply through more and more hotels with constant demand, Covid crisis, Ukraine war, energy crisis, staff shortages - the last few years have been turbulent, the coming years will remain turbulent. But how can you create reliable forecasts in these times?

Who doesn't know them - market segments in the hotel industry. But are they still up to date? Or perhaps they are too imprecise? But what are the alternatives? In this article, we try to give you an understanding of the concept of buyer personas.

Our new tool will have complete redesign and will be rebuilt from the ground up

During the pandemic, hotels saw an increase in direct bookings. However, a large proportion of online bookings still come through online travel agencies. So how can direct bookings be increased?

We've launched a new website, migrated our system to be more performant and have layed out the groundwork road map for version 2 of our Tool.