Everyone should ask themselves: how can I stay relevant in the coming years where the starting point is embracing change? My advice is to be open to ongoing change. The market will require this type of flexible attitude, not only to thrive but to survive as well.” Massimiliano Terzulli Massimiliano , Franco Grasso Revenue Team “I believe that Artificial Intelligence definitely helps the Revenue Manager by simplifying and streamlining the work, especially through the management of repetitive tasks. For example, with Autopilot, AI can analyze vast datasets, suggest the best possible rates, and even send updates to portals when.
The revenue manager is absent
However, it is important to emphasize that AI does not replace the Revenue Manager but enhances their role, allowing them to focus less on operational tasks and more on strategic elements, such as business strategy, sales conditions, choice of relevant data, segmentation, etc., which are instrumental for the Revenue Management System and AI to make accurate decisions. AI is certainly more efficient than a human being in repetitive tasks based on consolidated patterns, but it must always be supervised and guided by an experienced.
Revenue Manager to feed it with
The correct data and strategy and to manage unforeseen variables (e.g., Covid, wars, natural disasters, etc.).” Fabian Bartnick Fabian Bartnick Founder, Infinito “Artificial Intelligence will replace 90% of what a revenue manager does. This means that brazil email list fewer people can do more through enhanced productivity. This is a golden time for outsourcing but a bad time for full-time employees.” Silvia Cantarella Silvia Cantarella Revenue Management Consultant, Revenue Acrobats “AI will make our lives easier and our decisions better.
I don’t expect AI to replace the revenue manager
But I think it will change its priorities. AI can process and interpret complex data in the blink of an eye and provide understandable insights for the revenue manager, which can be a powerful resource. Generative AI can help the RM write marketing copy or revenue summaries. The quick adaptation to current market trends can bring a competitive advantage. There are countless opportunities that AI can bring to Revenue Management, and I believe that as the role continues to evolve, it will become less operational and more strategic and decisional.”
Mariska van Heemskerk Mariska van Heemskerk Owner
Revenue Management Works “System evolvement has ensured that Revenue Managers can focus more on strategy instead of pulling data, making spreadsheets, and having limited time to focus. In my experience, there are not many Revenue Managers, and the ones that are there spend a lot of time going through data, building sheets, etc. By making better use of systems, they can focus on strategy, training, and building awareness why do we need an excuse to have fun? within the hotels to ensure everyone knows the impact of everything they do on the hotel results. With smaller hotels, revenue management is often done by the Front Office team, or sometimes it’s not really done at all.
These locations could benefit from AI support since a lot of manual work would be taken care of. Of course, there is always the risk that hotel management might decide that AI can replace people, and we have to convince them otherwise by demonstrating the significant human value that a Revenue Manager brings to AI. AI has a tremendous impact on many fields.)” Revenue Management Professional “AI has enormous potential, but we have yet to see its impact on the hospitality industry. Our industry is very slow to adopt new technologies.
The same applies to other departments too
I think Revenue Management Systems, Business Intelligence, and Property Management Systems will be at the forefront of implementing AI in hospitality. For example, Lighthouse BI has already introduced Smart Summaries. For AI to be of use azb directory in Revenue Management, it must have quality, historical, future, and real-time data about specific properties and the market. The revenue manager obtains an intelligent assistant that can quickly analyze large amounts of data, suggest strategies, generate unbiased decisions, etc.
