AI “Algorithmic Audit” can come to the box office of the hotel room

Artificial intelligence can lead to surprises in any place where a bill would once be considered settled.

The use of AI from Hertz (And the European SIXT car rental company) to scan for damage to cars that are then charged to the customer is a new application of technology that penetrates consumer life unnoticed. But this will not be the last unexpected journey adjustment with the kind assistance of AI.

Experts say users should expect to see businesses in the service industry that has similar technology in the future if they are not already.

“As businesses seek to automate losses and operating efficiency, we are witnessing the emergence of what I call” algorithmic audit ” – the systematic implementation of AI to identify, classify and monetize business. Hertz program, recently reported The New York Times is the beginning of what McKin describes as a broader transformation and a new line of fault in the service economy.

“The implementation of these systems reveals a major tension between the operational efficiency and the satisfaction of customers and justice,” McKen said. The question is not just whether AI can detect a scratch for a rental armor. “This is whether businesses have to charge customers for any microscopic imperfection that algorithms can identify, but human judgment can reasonably ignore as normal wear,” he said.

McKeen says the dialogue between the service agent and the customer over costs will increasingly include a new term: “The machine says.”

Hotel scanning

The hotels make their way through these changes, according to Jordan Hollander, co -founder of HotelTechreport.com, a research platform that helps hotels find new digital and AI products to improve efficiency.

“I saw more experiments with AI hotels between operations, but not in the same way Hertz used it to automatically detect damage and charging. This was not far away,” Hollander said.

Some hotels, for example, already use AI -powered sensors to monitor air quality and trigger smoking fines or vaping in rooms. But Hollander warns that sometimes sensors activate fake positives.

“Like someone who uses a hairdryer or aerosol spray – and guests hit a $ 500 taxi without lighting at all. It’s not hard to imagine how this can go south,” Hollander said.

But unlike the example of car rental, most hotels have not yet automated the billing step.

“They use AI more to mark potential problems – such as a room that smells, linen that does not meet standards or maintenance problems – and then they will join a person for the final call,” Hollander said. So far, AI is more recently behaving as a very observant assistant than a judge and jurors.

“But it is clear that the hotels are heading in the same direction,” he said. “Between computer vision, which can detect damage or wear in a room, and AI that analyzes the behavior of guests or the conditions of the room in real time, the technology is already there.”

Risk of customer reaction

In the hospitality industry, where trust is everything, there are reasons for hotels to move with caution. To date, many hotel operators use AI to improve things such as household efficiency, energy consumption and guest messages – but they are cautious about when and how it reflects directly on the guest in a way that can be perceived to harm the experience.

“There is a risk of reaction if the hotels start invoicing guests based solely on what the algorithm says. The moment a guest received a fee and cannot receive a right answer why or how it is checked, you are in a dangerous territory,” Hollander said. “If guests feel like they are watching them or nickel and stuffing from a machine, it undermines the connection completely,” he added.

The latest attempt in the hotel industry provides at least one warning tale, according to Hollander, citing a custom -made Alexa hotel. “Years ago, the hot thing was voice devices, and that never retired for this reason,” he said.

Hertz spokesman told CNBC that AI brings uniformity and consistency in the cashier.

“For years, vehicle damage checks have caused confusion and frustration. The process was manual, subjective and inconsistent and this is not good enough for our customers or our business,” she said.

She added that with checks on digital vehicles, Hertz introduces “such a necessary precision, objectivity and transparency to the process of our customers greater confidence that they will not be charged for damage that have not occurred during their hiring, and a more effective process of resolution when damage occurs.”

Of the 500,000 rents scanned so far, more than 97% show no damage, according to Hertz, and damage incidents decreased in a scanner equipped.

The Hertz spokesman has admitted that the new system is still underway.

“We know that the change in this scale takes time and we listen to, learn and improve every day. As we said from the beginning, our goal through this initiative is to improve the safety, quality and reliability of our fleet and to create a more permanent rental experience for our customers.”

AI is distinguished by image recognition, but where it can be made up is with the nuanced decision -making, which historically characterizes good customer service, according to McKeen.

“What makes these systems particularly problematic is the erosion of contextual judgment,” McKen said. Traditionally, business relationships rely on human freedom to navigate the gray areas such as “When is a destroyed tire is normal use according to disabilities?

Other companies will closely monitor Hertz to see how the AI experiment is doing, he said, and then jump right to profit if it is determined that the use of technology will not chase customers.

Automation against “absolutely superfluous”

The use of AI to repair costs is not yet widespread as companies have not come up with the balance between customer confidence and the implementation of AI, and the benefit so far does not exceed the potential loyalty loss, said Chuck Reynolds, Managing Director of Lek Consulting and a member of the company’s digital practice.

The key to companies to apply these cost recovery tools is transparency. “Although the possibility of AI is huge, organizations should be considered incorporating it as a copy, not by police or contractor,” Reynolds said. Sustomers will accept AI as part of the experience, he added if the companies are fair, visible and design AI’s experience with empathy.

“AI must have a built -in orientation to customers at its core,” Reynolds said and companies must retain the role of people in the process to monitor and cancel AI if necessary. “The organizations that do it without thinking throughout the process will have challenges with internal acceptance and acceptance of customers,” Reynolds said.

Customers should expect to see that more of Hertz technology is unfolding under different conditions, according to David Rivera, professor of hospitality and tourism at Flagler College. In addition to hotels, the future may include restaurants using AI to determine signs to provide accurate charging. But Rivera says that all this is done for the purpose of operational efficiency, not to punish the client. Using AI in hospitality develops from passive data collection to active use of real -time decision -making tools, Rivera said, and this includes things like observing your car for rent or how much you invade mini-bar in your hotel roomS

“The common thread is increased operational efficiency, increased guest satisfaction and the automation of traditional manual tasks, with a layer of accountability and transparency for both guests and the supplier,” Rivera said.

However, not all are on board with this opinion.

“This trend is an absolute over -cololt with the AI solution options,” says Daniel Keller, CEO of Cloud Infrastructure Company Influx Technologies, which provides data collection and data analysis tools. “This specific use of AI does not increase efficiency; it explores business customers with small routes who want to suck in extra money from the guests’ experience.”