Almost every industry has been impacted by automation in recent years, and thus the hospitality industry isn’t any exception. From Powered Artificial intelligence to messaging apps, businesses are increasingly turning to automation to cut operational costs and improve customer experiences

The hospitality industry is a broad category of fields within the service industry that includes lodging, food and drink service, event planning, theme parks, transportation, cruise line, traveling, airline and additional fields within the tourism industry.
Hospitality focused on automation technologies are providing guests with simple, self-sufficient, and streamlined experiences for planning the precise experience they need — all barren of the necessity to interact with a real-life person. This shift in power has left many hospitality workers scared of losing their jobs, and even of a full robot takeover. But the character of the industry will protect them from that occurring.
Hospitality is traditional — and always is — enthusiastic to the human element. Whether it’s a hotel, restaurant, touch, and natural conversation are essential components for connecting and building relationships with guests, and machines aren’t on the brink of replacing that any time soon.
With both humans and automation here to remain within the industry, workers should look to embrace the technology as their helpful counterpart, instead of their enemy.
Customers expect to be able to contact businesses at any time, anywhere, and on any device. Hotels are keen on using chatbots to affect this, allowing guests to bypass the front desk to book stays and ask simple questions on the platform of their choice. As a result, front-desk staff are freed up for critical interactions only humans can provide, like upselling or handling complaints or special requests.
Artificial intelligence like UkeySmart also helps workers better handle communication with guests during their stays. Today many hotels have launched messaging platforms that allow guests to send requests from anywhere round the property, but the high-volume of messages can put a strain on the front desk and its ability to redirect service requests to the suitable departments during a timely manner. Artificially intelligent technologies like UkeySmart are capable of automating almost the whole guest messaging process. Designed specifically for the hospitality industry, UkeySmart handles around 90 percent of real-time requests from guests, effectively becoming their main point of contact throughout their hotel stay. instead of calling the front desk, guests can use UkeySmart to receive answers to small questions, like “What is that Wi-Fi password?” without human intervention. UkeySmart also allows guests to bypass human interaction with its ability to reroute specific requests to relevant departments. As an example , a guest’s request for extra towels are often sent straight to laundry services instead of the front desk, better streamlining tasks and saving employee time.
Hospitality businesses often have piles of customer data on habits, interests, and unique preferences, but don’t have the time or resources to research it manually. That’s why the industry, especially hotels, cruise lines and theme parks, is using machine learning and automation to gather the info and identify trends. From there, AI-powered platforms can take that data and act as a consultant for the operations and marketing leaders, analyzing trends and providing actionable insights for more personalized guest experiences.
For example, AI has the power to assist theme parks better analyze big data to form specific recommendations for restaurants within the park, suggest rides, or sell additional services. Disney has been the first to aim something like this with its roll-out of the My Magic + wearable tech for its theme parks. When guests wear it, Disney can track their location to determine what attractions and amenities they visit and once they are doing — giving the company insight into several operations for better optimizing operations and servicing guests within the longer term .
Like the hospitality industry, the human resources department plays an equivalent game of tug-of-war between pushing automation and maintaining the human element (it is human resources after all). Many hospitality businesses have already made the selection to use technology like employee feedback platforms to urge pulse checks on engagement and knowledge , but many are shy to embrace technology past these platforms.
Benefits of Using Smart Application like UkeySmart in this period for hoteliers: Check in remotely, unlock the room, control room devices (light, AC, TV, etc) and request hotel services (Room services, Restaurants, SPA) through the App. We aim to create a whole new hospitality experience with great benefits for the hotel.
However, there are two HR functions that need to never be automated, especially within the hospitality industry. The first is anything performance related. While machines can sense information, they can not detect and adapt to human emotion — and communicating this type of knowledge via technology is the smallest amount hospitable approach an HR leader can take with their employees. The second function is recruiting and new hire selection. While a neighborhood of the tactic is analyzing and assessment scoring, there’s still the need to determine and interact with a personal to figure out if they’re an honest cultural fit.
That said, the foremost important opportunity for automation in HR currently lies with task management. Almost any repetitive job is often automated, so workers can tend to other roles that require more attention. The functions most ripe for automation include the distribution of on boarding materials, management of employee personal data, validation and tracking of time sheets, and thus the approval of leave requests — just to call a few of .
However, AI and automation have the potential to disrupt HR quite just menial tasks. Within the longer term , we’ll expect to determine more businesses leveraging AI for better employee engagement and retention within an equivalent way they’re doing for more tailored guest experiences. As an example , organizations have a mountain of employee feedback data from annual engagement and pulse surveys to manage, but don’t have the facility to efficiently analyze it and identify actionable insights. Machine learning quickly and precisely mines and categorizes all the info for them, allowing organizations to predict business outcomes and make data-driven decisions.

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