Fremont, CA: Artificial intelligence (AI) implementation grew tremendously last year alone such that any business that does not consider the implications of machine learning (ML) will find itself in multiple binds. It has become mandatory that companies should question themselves how they will utilize machine learning to reap its benefits while staying in business. Similarly, hotels should interrogate themselves about how they will use ML. However, trying to catch-up with this technology is potentially dangerous when companies realize that their competition is outperforming them. When hotels believe that robotic housekeepers and facial recognition kiosks are the effective applications of ML, they can do much more. Here is how ML serves the hotel industry while helping save money, improve service, and grow more efficient.
For successfully running the hotel industry, energy and water are the two most important factors. Will there be a no if there is a technology that controls the use of the two critical factors without affecting the guest’s comfort zone. Every dollar saved on energy and water can impact the bottom line of the business in a big way. Hotels can track the actual consumption of energy against predictive models allowing them to manage performance against competitors. Hotel brands can link-in room energy to the PMS so that when the room is empty, the heater or any other electrical appliances, automatically turns off.
ML helps brands hire suitable candidates and also highly qualified candidates who might have been overlooked for not fulfilling traditional expectations. ML algorithms were used to create assessments to test candidates for recruiting against the personas using gamification-based tools. Further, ML maximizes the value of premium inventory and increases guest satisfaction by offering guests personalized upgrades based on their previous stay at a price that the guest is ready to pay at booking and pre-arrival period. Using ML technology, hotel brands can create offers at any point during the guest stay, including the front desk. Thus, the future of sustainability in the hospitality industry relies on ML.