A blessing? Let's ask ChatGPT
To prove a point, I asked ChatGPT to write an article supporting technology, see below.
To prove a point, I asked ChatGPT to write an article supporting technology, see below.
In today's ever-evolving world, the hospitality industry stands on the brink of a new era of technological advancement. While some may argue that my perspective as a technology Product Manager is biased, it is important to recognize the tremendous benefits that these advancements can bring to all stakeholders involved.
As part of the implementation of its asset-light strategy, Accor announces that it has reached an agreement with Mutris – a Moroccan investment company bringing together private and institutional investors – under which Accor will, firstly, sell its 33% stake in Risma, Morocco’s leading publicly listed hotel operator, to Mutris at a price of 130 dirhams per share, and secondly, sell its Risma bonds on the market.
Unlocking human potential in revenue management is going to be the key to driving growth and success in businesses going forward. For too long we are telling hotels to always look at that cool "artificial intelligence (AI)" and how the human is more of a burden than an uplift. I believe this will change. The future of revenue management is human-led, not AI-led, and businesses need to embrace this shift in order to stay ahead of the curve.
The question is, should hoteliers allow OTA customers to "trick the system" and allow group bookings by enabling multiple reservations for same stay period by the same customer. The question of group reservations is more important than ever since group demand - both corporate and SMERF - is expected to bounce back in 2023.
An interesting "dilemma" and an indication of the state of the relationship between hotels and OTAs, when we discuss whether getting a certain form of business is good for both partners.
The reason we qualify a reservation as a "group booking" is because the number of rooms booked requires special booking conditions to be applied by the Hotel, to prevent the risk of incurring massive revenue and profit loss for late cancellations of the bulk of rooms that cannot be replaced to the last minute.
Klaus Kohlmayr, Chief Evangelist & Development Officer @ IDeaS estimates that a typical hotel has to make roughly five million pricing decisions every year and that it is not humanly possible for any revenue manager to get every decision right, every day, without the support of an automated system like a Revenue Management System (RMS). Yet, less than 10% of independent hotels have an RMS in place.
In the next five years, the world will have increased its data from 36 Zettabytes to 163 Zettabytes. How much data is that? If a byte were the size of a grain of rice, 163 zettabytes would fill 163 Pacific Oceans! That's a massive amount of data. The hotel industry is not immune to that deluge, and revenue managers everywhere are faced with the challenge of dealing with it. Here are three recommendations:
In economics, one of the most well-known concepts is the Law of diminishing returns. What the law states is: As an investment in a particular area increases, the rate of profit from that investment, after a certain point, will decrease. Translated in Data analysis, one does not need to have 100% of the information to make the right decision.
More than ever data is available to help shed light in dark corners and to support making high impact decisions. When all goes well revenue managers will feel armed with the right data to check assumptions, gather insights and align teams towards profitable outcomes. With the quantity (and quality) of data sources increasing it can get daunting though.
Tipping from data-driven decision-making into analysis paralysis is common, but not unavoidable. As Scott’s original post says, having a strong filter on what NOT to analyse is important. Here are some other lessons we’ve learned in helping hoteliers navigate the world of data and insights.
The purpose of gathering and analyzing information is to produce a strategic course of action which changes or improves our desired outcome. Our goal is to reduce the time between data gathering and formulating and implementing actionable outcomes, or what I refer to as analytics efficiency.