IIIHM Setting new trends: Integrating ML (Machine Learning) in Hotel Management Courses

 

Technology is repeatedly emerging for the last decade and for the better. Life has been made much simpler and easier due to the development of such sophisticated yet simple technologies. The invention of cellphones can be regarded as one of the game-changers in the modern decade as you can connect and communicate with people across the globe in no time.  Nevertheless, technology has not only been limited to our social life, many such technologies have been incorporated in the hospitality sectors. Therefore IIIHM to ensure that its students remain a yard ahead in this competitive world has also incorporated Machine Learning (ML).

IIIHM has been the sole premier institute that has integrated Machine learning in its courses for management students and has been putting a lot of emphasis on the particular course for quite some time now. We (IIIHM) realized the significant platform that learning ML can provide a colossal base to its students in the hospitality sector, which has an immense footprint all around the globe and therefore can boost the service quality, expand profitability, and elevate the resources by assimilating ML techniques.

Countries that use ML in the hotel industry:

The ML implementation in the hotel industry in diverse parts of the world is uneven. China is foremost in the application of machine learning in the Hospitality industry, followed by the USA is in the 2nd position followed by the European countries and then the other developing nations.

Where does the hotel industry implement ML?

The incorporated method of social media, the Internet, and ML benefits in building customer relationships. Machine learning and the Internet of things ascertain probable clients, and social media turns into the communiqué tool for strident notifications in the system of text messages, media alerts, and hotel proceedings.

IIIHM by incorporating Machine learning gives the impression regarding its application in diverse zones. Due to the integration of the course, the students can understand better areas where Machine Learning can be and should be implemented like:

·       online reviews understanding

·        Demand forecasting

·        Hotel price prediction

·        Booking cancellation prediction

·        Revenue management 

The above-mentioned points are some of the most essential features for the smooth running of any hotel chain; therefore learning ML gives the management students of IIIHM a definitive edge over others and proves to be an indispensable asset.