Drive-thru | KRG Hospitality

AI-generated image of a caramel sundae surrounded by pats of butter and chicken nuggets

June 21, 2024by David Klemt David Klemt No Comments

Fast-food Giant Halts AI Ordering

Fast-food Giant Halts AI Order Taking

by David Klemt

Ironically, this image is AI generated. So, how many pats of butter and nuggies do like with your sundae?

Roughly two years after first experimenting with artificial intelligence-driven ordering technology, McDonald’s is pulling the plug…for now.

The fast-food behemoth made its interest in artificial intelligence abundantly clear in 2019. In Q2 of that year, the company purchased Dynamic Yield for a reported $300 million. Immediately after making the acquisition, McDonald’s implemented Dynamic Yield’s machine-learning tech to an estimated 8,000 drive-thrus.

KRG Hospitality readers may recall that the fast-food company faced a class-action privacy lawsuit in Illinois. The plaintiff alleged that McDonald’s “violated BIPA because it failed to obtain proper consent prior to collecting and disseminating Plaintiff’s and the other class members’ voiceprint biometrics who interacted with its AI voice assistant at its Illinois locations.”

Around six months after making that acquisition, McDonald’s picked up Apprente. Interestingly, the voice-powered ordering tech platform had only been founded in 2017.

Following the purchase, the Apprente team became founding members of McD Tech Labs, a group that fell under the McDonald’s Global Technology Team umbrella. Two years later, McDonald’s would sell McD Tech Labs to IBM.

Put simply, McDonald’s was interested in testing voice-activated “automated order taking” (AOT). In theory, an effective platform could take orders, speeding up drive-thrus and streamlining operations.

Well, it appears that the answer is no. At least, not to the standards of McDonald’s, and satisfaction of the company’s guests.

Speed, Convenience, and Accuracy

A drive-thru needs to be fast. There’s no question about it, that’s the entire point.

The speed, after all, makes a drive-thru convenient. Otherwise, people would just park and place their orders at a counter or kiosk.

However, speed means nothing without accuracy. An LSR, QSR or fast-casual restaurant with a drive-thru could promise a guest will wait in line for no more than ten seconds after ordering. If they don’t get what they ordered, it doesn’t matter.

Poke around social media—TikTok in particular—and you’ll come across some viral AOT moments. There’s the addition of several “butter portions” to an ice cream order. Also, the addition of bacon to an order for ice cream, which I’m not entirely confident I’d correct. At least one guest popping into an AI-powered McDonald’s drive-thru had hundreds of dollars of McNuggets added to their order.

So, by July 26 of this year, as reported by Restaurant Business, the experiment will end. This partnership between McDonald’s and IBM to test AOT will be no more.

However, McDonald’s also said that IBM will remain a partner for other efforts. Further, McDonald’s shutting down AOT (for now) doesn’t seem to have turned other brands off from the idea. Per reporting, IBM says other fast-food chains are inquiring about AOT.

This story makes a few things clear to me. First, McDonald’s is confident that investing in tech is the way forward. They’ve spent hundreds of millions of dollars to test and implement new tech solutions. Second, someone has to go first and test in earnest, and it appears that LSRs and QSRs are leading the charge in hospitality.

And third, AI isn’t ready for prime time just yet. It’s wise to keep up to date with AI-powered innovations, but it’s also smart to be cautious.

Image: Shutterstock. Disclaimer: This image was generated by an Artificial Intelligence (AI) system.

February 17, 2023by David Klemt David Klemt No Comments

Infographic Shows Massive Tech Growth

Infographic Shows Massive Hospitality Industry Tech Growth

by David Klemt

An infographic from Brizo FoodMetrics puts the explosive growth of the hospitality industry technology landscape on display.

It appears that operators, once largely hesitant to embrace new technology, are seeking it out. So, too, it seems, are guests. Intriguingly, many guests expect restaurants, bars, and hotels to innovate technologically.

In a sign of this change, SpotOn is predicting 2023 to be the year when independent operators upgrade their POS systems.

And that’s just one area where tech companies are innovating for our industry. As their infographic shows, Brizo FoodMetrics identifies ten areas of innovation:

POS systems
Payment platforms
Online ordering solutions
Reservation and waitlist platforms
Inventory, accounting, and purchasing solutions
Human resources and staffing
Delivery, pickup, and drive-thru tech
Marketing, loyalty, and analytics platforms
Artificial intelligence, robotics, and automation
Ghost kitchen and virtual brand tech

Looking just at Brizo’s POS section, they list 48 platforms as part of their “2023 Restaurant Tech Landscape.” That’s four dozen POS systems, and that’s not even every platform available to operators.

Some will be familiar to operators—Toast, TouchBistro, Clover—as they’re basically synonymous with POS systems. Others, like Tillpoint and OVVI, may be less known. However, that doesn’t mean they’re not worthy of research and consideration.

Explosive Growth and Innovation

Again, the Brizo infographic doesn’t list every single available platform. For instance, I don’t see OpenSimSim under the HR/Staffing section. But the fact that there are still dozens of other platforms—more than in the POS section—shows that tech companies finally want their share of the hospitality pie.

This is, of course, beneficial for operators and their teams for several reasons. One such reason is innovation.

On one hand, the established platforms must innovate to fend off competitors. And on the other hand, upstarts must prove themselves to operators. In other words, new platforms must show they’re not vaporware; they have longevity and won’t abandon their own platform any time soon; they’ll update constantly; they’re simple to learn and use; they integrate with other systems; and that they’re worth an operator’s money and time.

We’re just two months into 2023. Imagine what the 2024 tech landscape is going to look like. And bear in mind, this is a restaurant-focused map—there are categories like property management systems for hotels that aren’t included.

If you’re in the market for a new POS system, want to upgrade scheduling, or are just curious about where the industry is heading, check out the infographic below. Select a few brands that are unfamiliar and look them up.

To view this infographic on the Brizo FoodMetrics website, click here.

Image: Possessed Photography on Unsplash

Statue of McDonald's mascot Ronald McDonald waving

June 21, 2021by David Klemt David Klemt No Comments

McDonald’s Facing Privacy Lawsuit

McDonald’s Facing Privacy Lawsuit

by David Klemt

A McDonald’s customer in Illinois, a state with some of the strictest privacy laws in America, is suing the fast food giant.

The largest fast food chain in the world is testing artificial intelligence in select drive-thrus throughout the Prairie State.

In theory, the technology will become a valuable operational element and enhance the guest journey.

However, one plaintiff in Illinois says McDonald’s is violating the state’s Biometric Information Privacy Act (BIPA).

AI-powered Drive-Thrus

Two years ago, McDonald’s made two significant technology company acquisitions.

In March of 2019, the fast food company purchased Dynamic Yield for a reported $300 million. Six months later, McDonald’s acquired Apprente.

The former acquisition brought “decision tech” to the QSR, using its digital billboards and ordering kiosks to make recommendations to guests depending on preferences, item popularity, and time of day.

The latter purchase is intended to bring automated voice ordering to McDonald’s drive-thrus through artificial intelligence.

Per CNBC, McDonald’s CEO Chris Kempczinski says AI is delivering an 85-percent order accuracy rate in its test stores. Currently, AI is taking 80 percent of the orders at ten Illinois McDonald’s locations.

Clearly, McDonald’s is investing in tech the company believes will enhance and speed up the guest drive-thru experience.

Lawsuit

Shannon Carpenter’s class-action lawsuit alleges that McDonald’s “violated BIPA because it failed to obtain proper consent prior to collecting and disseminating Plaintiff’s and the other class members’ voiceprint biometrics who interacted with its AI voice assistant at its Illinois locations.”

Carpenter filed the lawsuit after visiting a McDonald’s location last year in Lombardi, Illinois. The location is one of ten test stores.

The complaint also says, “McDonald’s AI voice assistant goes beyond real-time voiceprint analysis and recognition and also incorporates “machine-learning routines” that utilize voiceprint recognition in combination with license plate scanning technology to identify unique customers regardless of which location they visit and present them certain menu items based on their past
visits.”

In short, the plaintiff is alleging that McDonald’s is violating Illinois’ BIPA law by:

collecting biometric information (voiceprints in this case specifically) without consent;
not making the company’s data retention policies public;
failing to declare how long customer biometric data will be stored; and
not starting how the company intends to use the collected biometric data.

So far, McDonald’s has not released a statement addressing Carpenter’s lawsuit.

Customer Data

How much is one’s privacy worth? The price of a Big Mac or a Quarter Pounder combo?

Guest data and user privacy is a hot-button topic. For example, Apple made big news this year with the rollout of iOS 14.5 and its accompanying privacy features.

Carpenter’s lawsuit against McDonald’s carries implications for how businesses can collect and use guest data.

However, it also highlights an element of operating a restaurant in our tech-driven world.

It has been suggested by some business experts that the adage “cash is king” should be replaced by “data is king.” And yes, customer/guest data is incredibly valuable.

But so is reassuring guests that their data is safe with a given business. Operators, therefore, should be transparent about what guest data they’re collecting and what they intend to do with it.

And, as the McDonald’s lawsuit makes abundantly clear, there are laws governing the collection and handling of guest data. Operators should ensure that they and their partners are handling guest data legally, ethically, and responsibly.

Image: Vijaya narasimha from Pixabay

May 26, 2021by David Klemt David Klemt No Comments

Remote Restaurant Workers are Here

Remote Restaurant Workers are Here

by David Klemt

When people think of working from home, rarely do they picture restaurant professionals working remotely.

Normally, people associate working from home with desk and cubicle jobs across an array of industries.

A newer technology company is trying to change that perception.

New Restaurant Tech

Bite Ninja seeks to match restaurants with remote workers to online ordering and drive-thru operations more efficient.

Let’s say your business has a drive-thru window. Obviously, someone has to work that window, meaning there are labor costs that accompany it.

As operators know, it’s difficult to recruit, hire and train right now. Some states point to the $300 federal boost to unemployment as a main culprit for the labor shortage restaurants are facing currently, announcing exits to the program.

According to Bite Ninja, remote workers are a feasible solution to labor and cost challenges (at least for some operations).

The tech company trains “Virtual Cashiers” and provides on-demand access to these remote workers.

Benefits

Per Bite Ninja, the company provides operators with several benefits. First and foremost, it would seem, is an answer to staffing challenges.

Obviously, if utilizing virtual cashiers costs less than recruiting, hiring, training and employing their counterpart, that’s a benefit. Another benefit? More staff is available to engage with and serve dining room and patio guests.

On the subject of no-call no-shows, the platform claims that simply doesn’t happen with their remote workers.

While not a solution for every operation, Bite Ninja also claims upsell averages of between $40 and $60 per shift. More importantly, the company says order accuracy through their virtual cashiers is nearly 100 percent. According to Bite Ninja, the average upsell per shift pays for a venue’s hired ninja. If that’s the case and virtual cashiers pay for themselves while making an operator more money, perhaps employees can see a pay bump.

Additionally, the company tracks some key metrics for their clients, including customer volume, order accuracy, and upsells.

KRG Hospitality Takeaway

We appreciate restaurant and bar tech that helps operators lower costs, increase profits, solve problems, improve the guest experience, and increase guest visit frequency.

However, we’re not fans of tech that eliminates a position from the industry and takes someone out of the workforce.

Bite Ninja isn’t a labor solution for every hospitality operation. For those who see the value in remote restaurant workers, at least the company isn’t building robots that eliminate one or more human jobs outright.

Image: Jonathan Kemper on Unsplash