Leveraging AI for Hotel Revenue: Beyond Cost Savings

Article Summary

Many businesses in the travel industry have been discussing how Artificial Intelligence (AI) can help them save money. However, Richard Valtr, the founder of Mews, thinks that for hotels, focusing only on saving costs is not enough. He said at a recent conference that hotels are missing chances to earn more income. Valtr explained that AI cannot truly help hotels sell more services if the hotel's computer systems do not share all important information.

Right now, key details like room availability, guest preferences, and service prices are often stored in different systems. Because these systems are not connected, AI tools can only assist hotels with reducing expenses. They cannot help staff to increase sales or improve guest loyalty. Valtr suggested that if all hotel data were connected, AI could free up front desk employees. These staff members could then focus on selling unique guest experiences and building stronger relationships with repeat customers, instead of doing routine office tasks.

Valtr also mentioned that most hotel technology today is made for specific functions. For instance, there are separate software programs for managing the property, setting prices, or communicating with guests. This separation stops AI from getting a full picture of the business or its customers. For hotels to fully benefit from AI, they need systems that bring all this information together. This way, AI can not only help save money but also greatly increase earnings and offer better service.

Key Vocabulary

Comprehension Questions

1. What is the main argument Richard Valtr makes about AI in hotels?

• a) Hotels are not using AI enough to cut costs.
• b) Hotels are using AI wrongly by focusing only on saving money instead of earning more.
• c) AI is too expensive for most hotels to use effectively.
• d) AI will replace most front desk staff in the future.

2. According to Valtr, what is a key problem preventing hotels from using AI to increase revenue?

• a) The lack of trained AI specialists in hotels.
• b) Customers do not trust AI recommendations for hotel services.
• c) Hotel computer systems for different tasks are not connected and don't share information.
• d) AI technology is not yet advanced enough for sales tasks.

3. What does Valtr suggest hotel staff could do if technology freed them from administrative tasks?

• a) Spend more time cleaning rooms and preparing meals.
• b) Focus on selling experiences and building customer loyalty.
• c) Develop new AI software for the hotel.
• d) Take longer breaks during their shifts.

4. The article states that hotel technology is currently 'built around software categories.' What does this mean?

• a) Hotels use only one type of software for all their needs.
• b) Hotels develop their own unique software from scratch.
• c) Hotel software is usually separated into different programs for different functions.
• d) Hotel technology is old-fashioned and needs to be replaced completely.

5. What is the main benefit for hotels if they integrate all their data into a single, connected system?

• a) It will significantly reduce the need for any human staff.
• b) AI can then help both save money and greatly increase earnings.
• c) It will make it easier to switch to a different AI provider.
• d) Customers will no longer need to interact with hotel employees.

Discussion Prompts

1. The article talks about different computer systems not sharing information. In your professional experience, have you seen similar problems with unconnected systems in your own company or industry? How did it affect operations?

2. Richard Valtr suggests that AI could free staff from 'administrative work' to focus on 'selling experiences and loyalty.' How could this idea apply to your own role or department? What 'administrative' tasks could AI take over for you?

3. The text highlights the importance of using AI to 'increase revenue' instead of just 'cutting costs.' Can you think of ways AI could help your company not just save money, but also make more money or improve customer value?

Teacher Notes

This lesson focuses on the strategic use of AI in the hotel industry, moving beyond cost-cutting to revenue generation. Encourage learners to discuss the broader implications of data connectivity and AI in their own professional fields. The grammar point on Type 1 conditionals will help students articulate potential business outcomes and challenges. Pay close attention to vocabulary application in discussion.

Ticket to Class

The article talks about different computer systems not sharing information. In your professional experience, have you seen similar problems with unconnected systems in your own company or industry? How did it affect operations?