Hotel Revenue Management Quotes

Your USP is never what you think it is. It is what your customer think it is.

El aspecto clave del revenue management es la gestión de los precios, factor que, en principio, permite discriminar la demanda. Para poder determinar el éxito de la gestión de precios se puede utilizar el ratio de ingresos por habitación disponible (en inglés, RevPar, revenue per available room),

When uploading a photo of your hotel online, you are the eyes (and the wallet) of your future guests, so don’t take it lightly

In any modern hotel, having a centralized system is critical in order to increase efficiency, avoid time waste and reduce human error, therefore PMS must eventually connect to nearly all the software the hotel is using.

The extreme competitiveness in travel is slowly bringing search engines, OTAs and metasearch engines to converge towards an increasingly homogeneous model. The reason is simple, almost Darwinian: the model that will prove to be the most efficient in terms of scalability and efficiency for the end user is going to prevail.

Between getting a fax room confirmation and being asked for passport by an animatronic velociraptor, there must be a healthy sweet spot in the use of technology in our industry

What we are likely to see is AI working together with humans, not AI replacing humans

We are the last generation with scraped knees. Next one will make no difference between on and off-line reality

If we want a real frictionless hotel experience, we need to have frictionless hotel infrastructures

Technology evolution is far from linear. It is very, very bumpy

Hyper-personalization" is the new "Direct Booking

When it comes to hotels, photography should be able to sell a specific product: your rooms

If everything is important, then nothing is important

Learn. Work. Create.

Technology made the life of professional photographers easier, but it also opened the doors for a generation of amateurs that do not know the industry. And, when it comes to commercial photography, this is the perfect recipe for disaster.

A new dot.com bubble for AI? I doubt it. Companies do not invest in AI because it's hot, but because it is efficient

Let computers do what computers do best and let humans do what humans do best

AI is already mainstream. It's just not very visible

Il problema centrale, con la quasi totalità delle strategie di revenue management, è che il prezzo finale non è quasi mai la somma scientifica del valore intrinseco degli attributi unici della camera, ma – nella migliore delle ipotesi – un’approssimazione arbitraria influenzata da metriche volatili, se non addirittura da pregiudizi, stati emotivi e bias cognitivi.

Mentre i principali RMS AI-based sul mercato oggi possono prendere milioni di decisioni al giorno,16 il nostro cervello supera a fatica le 35.000.Ciò significa che, per avere la stessa accuratezza di un RMS, un singolo albergo dovrebbe assumere una squadra di 3.000 revenue manager, per un costo di oltre 200 milioni di euro l’anno.

The bureaucracy of a big company like Citi often led to bad policies. Such a large firm is basically forced to make decisions for a whole organization that don’t necessarily apply well to the individual business units. Is it better, one wonders, to have uniformity of authority in decision making at the expense of flexibility? It was a demonstration of the challenges of size, the difficulty of managing a large business with hundreds of disparate units. In the mid-2000s, for example, the firm developed new rules for air travel, insisting that employees reach their destinations on the cheapest fares available, even if that meant multiple connections to get to smaller cities. Saving money was not a bad inclination in an industry notorious for profligacy, but there was no flexibility in the rule, and so my assistant, Angela Murray, was engaged in frequent battles to make sure I could arrive at out-of-town meetings on time. If I had a ten o’clock morning meeting in Omaha to discuss a deal with a potential $6 million fee, Citi still insisted on saving a few hundred bucks by booking me on a flight that arrived in the afternoon, which meant I would miss the meeting unless I traveled the day before. And because those cheaper flights often required an overnight stay, more work hours were wasted as well as any potential savings, since the firm would have to pay for a hotel and meals. I knew for a fact that the policy was revenue-negative.

Negli anni Novanta, il lavoro dei revenue manager era principalmente quello di data crunching: dovevano dedicare molto tempo non solo ad aggregare i dati, ma anche a correggerli e normalizzarli, poiché provenivano da molte piattaforme diverse e non armonizzate. Tuttavia questo è un lavoro che può e deve essere svolto dalle macchine, non dagli esseri umani, lasciando più spazio al processo decisionale e alla strategia.

Il modello di vendita ad attributi potrebbe rendere completamente obsoleto il concetto stesso di “room type” e, di conseguenza, riscrivere le regole del revenue management del futuro.

Un RMS, si badi bene, non fa niente di più rispetto a un revenue manager umano: semplicemente lo fa in maniera più accurata, più veloce e a fronte di un “salario” molto più modesto.