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IoT in Hospitality: The Best of Technology and Comfort as One!

The future of the hospitality industry is digital. The Internet of Things (IoT) technology plays a major role in hospitality & it simplifies the processes.

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IoT in Hospitality The Best of Technology

It is a technology driven world and this is why the future of the hospitality industry is digital. It is noticeable that the hospitality industry has come a long way in the last few years. This has only become possible with some intelligent combination of amazing technology in the recent past. Here, the Internet of Things (IoT) plays a major role. How? Well, it is known that the hospitality sector gains confidence through some amazing customer services.

In order to make the customer services unforgettable, the sector devotes a significant duration of time and invests an ample amount of money in elevating the services to an entirely new level. In that level, the customer becomes ‘delighted’. To make each and every guest feel ‘delighted’ or ‘empowered’, knowing about their likes and dislikes is crucial. This is clearly a challenging task. Here, the Internet of Things simplifies the processes of guest data collection by a noticeable scale.

IoT Technology in Hospitality

As a hotel manager, you must become aware of the advantages provided by IoT to the hospitality sector. Let’s discover.

#The Internet of Things helps to convert ordinary everyday mirrors into personal interactive information stations:

This enables the guest to effortlessly manage all the hotel room functions, ambiance and entertainment. Just through one simple touch, a guest will be able to connect with some amazing hotel services. Accessing information like local news/weather report/traffic status becomes possible.

#Autonomous indoor delivery robots lessen the workload for hotels:

These robots automate hotel room services. Through the potential combination of sensors, artificial intelligence and machine learning, these robots operate elevators and navigate crowds while effectively balancing out other tasks (swift room deliveries that assure both safety and reliability).

#Electronic keys help guests in hassle-free check-ins:

With the intelligence of IoT, the development of electronic keys ‘empowers’ the guest to bypass the check-in processes and head straight to their rooms. The electronic key directly is sent directly to the guest’s personal mobile phone a few hours prior to the check-in (after thoroughly checking the name, address, social security number and more). This way, guests do not have to wait at all at the front desk. The tired guests definitely notice this huge flexibility in the hotel services and quickly put the hotel in the good books.

#Intense room personalization helps to strengthen the bond in between the guest and the host:

Gone are the days when a guest was greeted through hand written notes in his/her room. Now, for a 21st century guest, the hospitality sector has joined hands with IoT strategies for creating exceptionally comfortable rooms for the guests. When the guests enter the room, s/he can simply and automatically arrange the curtains, the television will have all his/her favorite channels and the music stations will play all her/his favorite number. Also, the guests will be entering a room with a perfect temperature that suits their mood and comfortable computer chairs to provide proper support. In fact, this concept is more about creating ‘connected rooms’ that ‘know the guest thoroughly and the guests know the room back in detail’

#IoT simplifies a guest’s stay through friendly voice-bots:

The basic intention of any hotel manager is to simply provide unforgettable services to its guests in order to seek guest loyalty for the maximum time duration. To achieve these, the hospitality sector is required to make the guests feel ‘like a ruler’. With Amazon’s Alexa, it becomes easier for a guest to design her/his own comfort inside a hotel room. Whatever the guests require is just a voice away. If the guests want to rest, s/he can order the voice bot to draw the curtains, dim the lights and so on. In case the room services are required, that too could be voiced. This is an amazing way of making the guests feel empowered. When their voice is heard, they feel valid and very practically being ‘listened to’.

IoT in Hospitality

#Precaution is better than cure and IoT’s predictive maintenance sticks by it:

The best of location, the best of food and the best staff behavior go down the drain due to technical and non-technical failure. With IoT, any possibility of fatal mishaps or the narrow scope of the slightest of guest inconvenience gets mitigated. It makes sure that the sprinkler systems have the potential to work on time. The smoke and carbon monoxide detectors have functioning batteries. In case the electrical panels, plugs, outlets and circuit breakers are not working for some reason, then the hotel management staff will be informed instantly. With smart sensors, any unfavorable change in the machine status comes under the broad daylight before it gets worse.

On a finishing note:

The Internet of Things plays a major role in the hotel industry because the 21st-century guests want to interact with their hotels in the same way they interact and engage with a close companion. This is the reason why the hospitality sector is becoming digital with every passing day. The guests who check-in the hotels come from different backgrounds thus requiring different things to feel ‘valid’ or ‘special’ throughout their stay in the hotel.

It is the core focus of the hospitality industry to create beautiful relationships with the guests. Thus, through the guest data collected by the IoT sensors, the hospitality sector formulates competitive business strategies in order to rope in the maximum guest loyalty for the longest span of time. IoT assists the hospitality sector in knowing the different choices, preferences, personalities and dislikes of different guests.

Thus, the hotels successfully provide a personalized experience to each and every guest. This was never possible a few years back. Guest data (who have stayed in the hotels previously) is collected by smart sensors. Upon visiting the hotels the next time, the IoT sensors set the room according to the data that has been collected under the name of the specific guests. Thus, personalization reaches an entirely new level. ‘Home away from home’ actually exists for a guest in the hospitality industry.

Sanjeev is the founder of Biz4Intellia, one of the leading IoT development companies in the USA. He is extremely passionate about the Internet of Things and keeps on exploring the possibilities unleashed by IoT on a constant note. At Biz4Intellia, his concrete focus on building a rapid growing, market-driven organization that delivers influential enterprise IoT solutions, is simply unmatchable.

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A Guide To Using AI for Knowledge Management

Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive.

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In the digital era, the fusion of AI technology with knowledge management is revolutionizing the way organizations manage and exploit their informational assets. Using AI for knowledge management and to transform massive data pools into actionable insights is not just beneficial; it’s becoming a necessity to stay competitive. Keep reading to unlock the full potential of AI-driven knowledge management.

1. The Intersection of AI and Knowledge Management: A Synergy Explained

Knowledge management traditionally involves capturing, organizing, and distributing knowledge across an organization. When AI steps into this territory, the potential for enhanced efficiency and decision-making emerges. AI algorithms can sort through and analyze data at a rate no human can match, revealing patterns and insights that can be critical for strategic planning. This melding of AI with knowledge management practices is a modern alchemy, creating an invaluable resource.

One of the most significant benefits of integrating AI into knowledge management is the automation of data processing. AI systems can continuously learn from new data, refining their algorithms and providing even richer insights over time. Moving from static data repositories to dynamic knowledge hubs, businesses are now armed with constantly evolving intelligence. This represents a profound shift from data being a static historical record to a dynamic, predictive tool for decision-making.

Using AI for Knowledge Management is a top solution

Customization is another strong suit of AI in this space. Rather than one-size-fits-all information resources, AI can personalize knowledge dissemination to the needs of each employee. The focus moves beyond mere information access to ensuring the right knowledge reaches the right person at the right time.

2. Implementing AI in Your Knowledge Management Strategy

Transitioning to an AI-driven knowledge management system begins with identifying the scope and objectives of knowledge needed. Organizations must be clear about the kind of knowledge that is most valuable and how AI can aid in its cultivation and dissemination.

Following initial evaluations, the selection of appropriate AI tools and technologies becomes the next crucial step. There are various AI solutions designed for specific knowledge management tasks, from natural language processing for content analysis to machine learning models that predict trends and behaviors.

Integrating AI requires a cultural shift within the organization. Employee buy-in is crucial, and it is important to address any concerns about job displacement head-on. Training and educating the workforce on the benefits and use of AI systems can facilitate smoother adoption, ensuring everyone understands the role of AI as a partner, not a replacement, in the knowledge ecosystem.

3. The Impact of AI on Knowledge Retention and Dissemination

An AI chip sits in a computer

The true value of AI in knowledge management is often most visible when assessing knowledge retention and dissemination within the organization. AI-driven systems can significantly enhance the ability to capture institutional knowledge, store it and make it available in engaging, interactive formats that increase retention.

Analytics are also central to measuring the impact of AI on knowledge management. By evaluating these metrics, businesses can see whether the knowledge is being leveraged effectively, which areas may need more focus, and where improvements can be made.

Furthermore, AI can be a boon for training and development programs. By adapting to the learning pace and style of individual employees, AI can deliver personalized training recommendations and content, leading to more effective learning outcomes.

Altogether, AI is transforming the realm of knowledge management with its capacity to automate, personalize, and revolutionize how information is processed and utilized. Challenges notwithstanding, the rewards of integrating AI into knowledge management strategies are profound, paving the way for smarter.

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