Insightful AI and Data Science Use Cases in Hotels

Posted by sairaj tamse on August 17th, 2022

In this article, I will attempt to discuss the areas where AI and data science are making significant advances in hotels.

  1.  Advertising

For hotels, marketing is critical. It not only distinguishes your establishment but also ensures you receive all the business you require. It is not enough to plan and execute a campaign. Numerous activities take place behind the scenes. Understanding customer needs and preferences, as well as acting quickly and effectively, is one of them. Many marketers are unsure about which data sets to collect for segmentation. And this is where AI and data science come into play.

Machine learning systems assist hotels in analyzing information in the context of relevant historical data, resulting in better and more informed decision-making.

Marketers can use all of the data from these systems to target campaigns to the appropriate audience.

  1.  Revenue administration

A revenue management system or revenue manager aims to maximize revenue by optimizing your room rates and availability. They sell your rooms through the appropriate channel to the relevant guest at the proper time.

When data-driven revenue management, hotels can better predict demand and analyze customer behavior patterns. It saves a lot of time and effort by automatically consolidating and analyzing large amounts of data from various sources.

  1.  Analytics for operations

I'm sure you've heard of job roles centered on data analysis or business intelligence. These are two of the most important aspects of any business. There is also operational analytics, which is a combination of data analysis and business intelligence. There are times when hotels must concentrate on their internal operations as well. Here is where operational analytics comes into play.

Operational analytics uses data mining, artificial intelligence, and machine learning to measure a hotel's real-time functions to improve efficiency and streamline daily tasks.

Refer to the data science course for more detail on data mining and other technologies. 



  1. Staffing and training

You probably think that this isn't possible. But believe me, it is. Hotel employees are now hired and trained using AI and data science. Yes, it has progressed this far.

Specific AI hiring tools collaborate with human resources. The tools are used to supplement the recruiting process with talent intelligence. When there are a large number of applications, AI can automatically screen them all and shortlist the most qualified candidates. Of course, this will be done using algorithms.

Artificial intelligence in hotel staff training is showing promising results when it comes to training. Hotel staff training systems powered by AI eliminate the need for classroom-based training.

  1.  Concierge on the internet

A virtual or digital concierge is a customer experience (CX) technology that offers conversational and contextual assistance to guests. It might take the form of a robot, a mobile app, a web platform, or a chatbot.

When we think of such technologies, AI is the first thing that comes to mind. And the majority of virtual concierges are powered by AI.

  1. Reputation management

Reputation management systems have recently gained significant traction in the hospitality industry. So why not? After all, they aid in the development of a trustworthy brand. And when these systems are AI-based, their capabilities skyrocket. Sentiment Analysis is an excellent example of this.

It is a natural language processing (NLP) technique for determining the intent or sentiment behind a review or an opinion. It is mainly performed on textual and social data and is extremely effective at gauging people's perceptions of your brand.

Conclusion

Data Science is a good process for every industry to implement new methods, increase customer satisfaction, maintain customer loyalty, increase productivity, etc. Data Science is more in demand, and data scientists are highly paid.. Learn data science with the best data science course in Bangalore.



Like it? Share it!


sairaj tamse

About the Author

sairaj tamse
Joined: July 7th, 2022
Articles Posted: 27

More by this author