Automation

by David Klemt David Klemt No Comments

Do You Need a Restaurant Chatbot?

Do You Need a Restaurant Chatbot?

by David Klemt

Robot hand reaching for human hand

The labor shortage, increasing demand for convenience, and artificial intelligence are converging to make a strong case for restaurant chatbots.

Specifically, bots that can take orders accurately. As consumers increasingly live their lives on demand, any perception of even minor inconvenience can turn someone against a brand or venue.

In addition to convenience, today’s consumer, generally speaking, also expects to find more technology when engaging with a business. Likewise, workers expect employers to implement more tech, whether it’s welcome or not.

When it comes to our industry, that means everything from streamlined POS systems and powerful CRM platforms to predictive ordering software and cobots.

Looking at generative AI and guest-facing tech, it won’t be long before guests expect to place their orders via chatbot.

In fact, some consumers are placing orders with restaurant bots now. There are already text- and voice-based restaurant bots out in the world. So far, it appears that many QSRs are implementing generative AI bots to handle orders.

As some of the companies developing restaurant bots point out, they never tire. The bots never feel overwhelmed. They can field a limitless amount of calls, working around the clock without breaks, every day of the year. Obviously, restaurant bots don’t get sick, ask for time off, or no-call, no-show.

So, for high-volume restaurants, particularly those with drive-thrus, restaurant bots are probably incredibly attractive. Clearly, labor is still an issue. And these restaurant bots promise to take the ordering process out of workers’ hands, allowing them to focus on “more important” tasks.

Now, couple that with guests seeming less patient, less forgiving, and more obsessive about convenience. On-demand solutions certainly appear great on paper.

Text Bots

We know that guests are already interacting with restaurant bots. When they visit a restaurant’s website or download its app if they have one, they’re encountering bots.

Some provide information, some can make reservations, and an increasing number can take orders. There are bots that imitate a text exchange, and those that streamline the ordering process by using canned replies.

One of the better known of these is Dom, Domino’s chatbot. Whether via app or website, Dom walks people through the ordering process easily and, in my experience playing with this tool, quite simply.

Further, Dom can “remember” previous orders (when a customer is logged into their account) and reorder them. The bot can make recommendations, and it will search for and apply coupons or promotions.

These functions are, of course, the pros of restaurant bots. As their ability to handle more complex tasks increases, the promise is that they’ll do more than offer convenience or solve some labor issues.

Rather, they’ll also generate more revenue by making personalized recommendations, upselling customers, and reaching out to customers to prompt them to place an order.

Voice Bots

As operators whose phone lines light up from open to close can attest, there are people who prefer to talk to someone to place an order.

Well, there are now restaurant bots that can field those calls.

One provider of this tech is ConverseNow. The company uses voice AI, which they explain is also known as conversational AI on their website. Their tech handles phone and drive-thru orders, and the experience is close to, if not exactly like, speaking with their human counterparts.

According to ConverseNow, operators no longer have to worry about unanswered calls. Customers won’t call in only to hear a busy signal. Drive-thru times are reduced. Workers can focus solely on service, prep, and fulfilling orders.

Additionally, the company is focusing on accuracy. There’s an agent-assisted solution, for example. If a complex order comes in, an agent can take over before things go sideways. Agents can also help ConverseNow’s AI to learn from new situations, ensuring the customer experience is painless and even more accuracy.

The tech is so good that Domino’s uses it along with Dom. Per the ConverseNow website, the tech integrates with leading POS systems like Toast; is live in more than 1,200 restaurants in over 40 states; and has taken 8.5 million orders and freed up one million labor hours for their clients.

Along with ConverseNow, operators can look into HungerRush, Yellow.ai, and other solutions.

Takeaway

Restaurant bots certainly make sense for high-volume, limited-service, and QSR operators. They can reduce labor costs and capture more (if not every) order with ease.

However, we need to consider the impact of reducing or eliminating human interactions in hospitality. Whether in the front or back of house, we appear to be heading toward an industry putting less emphasis on the human element.

Yes, team members still interact with guests to take in-person orders and for in-person dining. That is, for now.

In the QSR space in particular, ordering kiosks are becoming more common. At some point, AI-powered kiosks, along with other AI tools, will replace the need to interact with humans in fast-casual and casual-dining restaurants.

It seems at odds with the spirit of hospitality for guests to not have to interact with a team member until their food needs to be dropped. And with cobots, that’s also a task an operator can automate.

I’m all for progress and innovation. And I’m all for delivering on the guest expectation of convenience. However, it’s a balancing act. An operator opting to automate tasks so team members can better engage with guests needs to ensure that’s actually happening.

I don’t think we need less human interaction. And I, for one, have a growing concern that some operators are journeying further down the path of barely seeing the people they employ as people. Rather, too many are increasingly seeing team members as liabilities and nothing more.

I point that out to say this: When considering implementing any new tech, consider the impact on more than just P&Ls. This is a people business, and dedicating yourself to slashing costs and boosting revenue ruthlessly runs the risk of making a restaurant less hospitable for guests and staff.

Image: Cash Macanaya on Unsplash

Bar Nightclub Pub Brewery Technology Consulting Project Management

by David Klemt David Klemt No Comments

SevenRooms Reveals Revenue Management Tool

SevenRooms Reveals Revenue Management Tool

by David Klemt

Closeup view of buttons on vintage, antique cash register

Just when you think SevenRooms is done launching new solutions for the year they announce a new tool that will excite operators.

That new tool is Revenue Management. Much more than “just another” plugin, SevenRooms Revenue Management is an engine.

This new engine is feature-rich and automates a number important tasks. In fact, one feature in particular has our attention: the “do-it-for-me” function.

What does that feature give operators the power to accomplish while saving time and labor costs? Below are just a handful of benefits:

  • party size recommendations
  • dining duration configurations
  • decrease last-minute cancellations via cancellation policy implementation
  • floor plan configuration recommendations

Should this automation feature prove easy to understand and use, we can see that this latest tool may become the most popular among SevenRooms users.

To learn more about Revenue Management, scroll down to the latest SevenRooms press release.

Growth Recap

Let’s take a look at just some of the growth SevenRooms has achieved over the course of just the past few years.

  • March 2021: SevenRooms appoints Pamela Martinez as the company’s chief financial officer.
  • September 2021: SevenRooms announces a multi-year partnership with TheFork. The partnership is big news for operators throughout Europe and Australia. Further, the partnership illustrates how the company is pursuing global growth.
  • October of 2021: The company forms a partnership with Olo. This ensures clients who also use Olo are able to capture data from a key group: off-premise customers. That data creates profiles for such customers automatically. That means operators can learn more about—and effectively market to—customers who engage with them via online orders.
  • December 2021: SevenRooms and ThinkFoodGroup—the hospitality company behind Chef José Andrés’ portfolio of restaurants—make their partnership public. Interestingly, this partnership also includes ThinkFoodGroup joining SevenRooms in an advisory role.
  • January 2022: The platform announces the hiring of a chief revenue officer, Brent-Stig Kraus.
  • December 2022: SevenRooms enters into a partnership with Competitive Social Ventures.
  • January 2023: The company announces the appointment of their first-ever chief marketing officer.
  • March 2023: SevenRooms announces that Danny Meyer and EHI are investors in the platform. Following that announcement, SevenRooms launches Email Marketing Integration less than two weeks later.
  • May 2023: The company drops their Pre-Shift tool. Two weeks after that launch, SevenRooms announces a new global partnership with Marriott.

Most platforms launch a new solution or announce new partnerships once or twice per year. Not SevenRooms. And it’s this constant growth that encourages us to recommend the platform to our clients.

SEVENROOMS LAUNCHES REVENUE MANAGEMENT TO HELP OPERATORS INCREASE SALES & PROFITABILITY

Automated revenue management solution will provide restaurants with the tools they need to optimize their operations and fill more seats, more often

NEW YORK (September 28, 2023) – SevenRooms, a guest experience and retention platform for the hospitality industry, today announced the launch of a new solution for restaurants: Revenue Management. The product serves as an engine for operators to generate more sales and profitability from the same seats, using data science to recommend how to optimize availability and increase table utilization.

To survive current economic conditions, restaurants need solutions that can save them time, reduce their labor costs and increase their sales and profits. Inspired by effective revenue management strategies long-used by the travel industry, Revenue Management extends this practice to the restaurant industry. The product automates these processes without the need for analysts, additional staff or high-priced consultants to manage changes, helping to:

  • Fill more seats, more often to increase sales by reducing the time seats sit empty
  • Save time and reduce burdensome labor costs by automating in-depth analysis, quickly making changes with a ‘do-it-for-me’ option
  • Provide operators with easy-to-digest insights along with ready-to-use actions that demystify proven steps taken by revenue leaders

Other systems on the market today may offer reporting on a handful of insights, but none help operators immediately action revenue-focused suggestions with a ‘do-it-for-me’ option that has an instant impact on their operations. Sample actions include recommendations on party size or dining duration configurations, when to institute cancellation policies to decrease last-minute cancellations, floor plan configuration recommendations and more. Diners also benefit, with more available reservations, a better dining experience (e.g. being sat on time and not being rushed out the door) and more unique experiences and offerings to choose from when dining out as operators have more time to focus on the guest experience.

Notably, Revenue Management also gives operators insights into how much demand was missed across booking channels by summarizing data on recent reservation attempts. This helps operators better manage these channels and optimize their books to offer more reservations across their most profitable channels.

“With Revenue Management, we are delivering on our promise to help operators make more money, providing a product that automatically executes on strategies used by the most successful hospitality brands throughout the world – without having to add team members or search out implementation experts,” said Angela DeFranco, VP of Product at SevenRooms. “This tool is both proactive and reactive, helping operators uncover untapped opportunities while simultaneously working to identify potentially harmful configuration issues that may restrict venues from maximizing sales and profitability. Today’s operators are busier than ever, and we are excited to bring Revenue Management to hospitality operators, helping them automatically fill more seats, more often while continuing to elevate their guest experiences.”

For more details on SevenRooms’ newest innovations, please visit sevenrooms.com/new.

About SevenRooms

SevenRooms is a guest experience and retention platform that helps hospitality operators create exceptional experiences that drive revenue and repeat business. Trusted by thousands of hospitality operators around the world, SevenRooms powers tens of millions of guest experiences each month across both on- and off-premises. From neighborhood restaurants and bars to international, multi-concept hospitality groups, SevenRooms is transforming the industry by empowering operators to take back control of their businesses to build direct guest relationships, deliver exceptional experiences and drive more visits and orders, more often. The full suite of products includes reservation, waitlist and table management, online ordering, mobile order & pay, review aggregation, email marketing and marketing automation. Founded in 2011 and venture-backed by Amazon, Comcast Ventures, PSG and Highgate Ventures, SevenRooms has dining, hotel F&B, nightlife and entertainment clients globally, including: Marriott International, MGM Resorts International, Mandarin Oriental Hotel Group, Wynn Resorts, Jumeirah Group, Hard Rock Hotels & Resorts, Wolfgang Puck, Michael Mina, Bloomin’ Brands, José Andrés Group, Union Square Hospitality Group, Australian Venue Company, Altamarea Group, AELTC, The Wolseley Hospitality Group, Dishoom, Live Nation and Topgolf. www.sevenrooms.com

Image: Erik Mclean via Pexels

Bar Pub Brewery Nightclub Club Nightlife Technology Plan Tech Stack

by David Klemt David Klemt No Comments

Tech this Out: Rise of the Cobots

Tech this Out: Rise of the Cobots

by David Klemt

Red arm of a humanoid robot

As technological innovations continue to flood the hospitality industry, restaurant and hotel robots appear to be on the rise.

Or, perhaps more accurately, robotics companies appear to be targeting hospitality more.

There were, for example, far more robots on the National Restaurant Association Show floor this year. Beverage-making robots, server bots, room service delivery robots, lobby “host” and information bots, automated robot arms… There were robots in each hall.

Interestingly, however, a different word is beginning to take hold: “cobot.”

While the concept isn’t newcobots have been working in other industriesthe word is likely new to hospitality professionals.

Simply put, “cobot” is a portmanteau of “collaborative robot.” These are, therefore, robots that work alongside and with humans. In other words, the term implies that these robots aren’t here to replace people.

Rather, we’re to believe that cobots are just here to take over hazardous and tedious tasks.

Dropping fries? Let the cobot do it. Flipping patties? Why should a human do that when we have cobots? Food is up? Send out the serverbot. Table needs turning? The cobot can drop the dishes, flatware, and glassware to the dishwasher station.

It’s difficult for me to not be skeptical. “Cobot” may aim to imply collaboration, but how long until most of the back of house is automated? How long until members of the kitchen team go from “freed up” to replaced fully?

On the flip side, however, I do see the appeal. Some tasks are tedious. There are hazardous tasks. Labor costs are too high. It is difficult to find and retain talent.

Cobots and other forms of automation offer viable solutions.

Cobots, Roll Out!

So, are these pie-in-the-sky vanity prototypes getting media attention? Or are there really cobots available?

If you have the money and the inclination, these robots aren’t vaporware. There are robots designed to take on several restaurant and hotel tasks that can work at your venue today.

Of course, you have to keep your back-of-house and front-of-house footprint and layout in mind. Perhaps more importantly, you also need to understand how your guests feel about technology, automation, and robots.

I don’t mean making assumptions, either. No, not every Millennial or member of Gen Z is tech-hungry. In fact, some are tech-averse and don’t want robots making or delivering their food. It’s not, as some would say, a vibe.

This is to say, the decision to bring cobots into your business isn’t just about cost. This robots will affect your bottom line in various ways, affect your team, and affect the guest experience. In turn, that means they affect your brand.

Of course, cobots and automation do work with some concepts and brands. If automation and tech-savviness are part of the brand, cobots should work.

However, it’s wise to proceed cautiously and intentionally.

Guidance, Information and Entertainment

SoftBank Robotics manufactures Pepper, a robot my friends and I have interacted with in Las Vegas.

Formerly the Mandarin Oriental Las Vegas, we’ve played around with Pepper at the Waldorf Astoria over the years. Pepper has offered to help us check in, provide information about the hotel, told us jokes, and played music and danced with us. (It’s possible we’ve danced with Pepper after visiting the hotel’s Moët & Chandon vending machine.)

Another interactive robot is Guiderbot G2, also known as Peanut, by Keenon Robotics. I’ve interacted with Peanut at the 2023 NRA Show in Chicago and this year’s Hospitality Show in Las Vegas. Peanut is, for lack of a better word, cute and people seem to want to engage with it.

As one may guess from the formal name of Guiderbot, Peanut is tasked with a mission similar to Pepper’s.

Delivery and Bussing

I also “met” Keenon’s Butlerbot W3, Peanut’s room service delivering peer. Interestingly, the four doors can be configured to best deliver to a guest or guests.

Then there are the Dinerbots, a series of Keenon robots that can “work” at restaurants and drop orders off at tables.

Spend any amount of time on most hospitality trade show floors and you’ll encounter front-of-house delivery cobots. And, of course, these robots can be used to clear tables and pop by the dishwashing station.

Production

Most operators, when thinking about automation, are likely familiar with Flippy, Flippy 2, and Flippy Lite.

From Miso Robotics, this family of robots features robot arms that tend to fryers. That a Flippy can handle just about any fried food and fit in most kitchens without much modification (if any) makes these cobots attractive.

From what I’m seeing, robotic arms are the cobots du jour. Along with Flippy there are the Intelligent French Fry Robotic Solution from Atosa; FryBot from Lab2Fab; and the Wingman from Nala Robotics. And that’s just a few of the cobot arms out there.

Of similar design are a variety of automated beverage-producing robots. At the moment, these tend to be robotic arms contained within a trailer or kiosk that are capable of quickly serving personalized coffees. One impressive example is Robojo by Zink.

There are also automated make lines, such as the Robochef SmartLine and TechMagic P-Robo.

We don’t know how long it will be until robots are commonplace in restaurants. For now, they seem to be at home mostly in a select few chain restaurants, niche operations in destination markets, and hotels.

However, as we all know, as tech goes from early adoption to ubiquity, cost becomes less of a barrier of entry. My concerns, for now, are the risks to people’s jobs and the impact on the guest experience.

Image: Mathew Schwartz on Unsplash

KRG Hospitality tech stack consulting. Tech. Technology. CRM. POS. Restaurant. Bar. Cafe. Lounge. Hotel. Resort.

by David Klemt David Klemt No Comments

Meet Customers Where They Are, Part 3

Meet Customers Where They Are, Part 3

by David Klemt

Person using Google search on their phone

If you truly want to meet your potential guests where they are, you need to be as discoverable as possible via mobile and desktop search.

The first part of this series discusses meeting guests in secondary and tertiary markets. Also, part one recommends looking into suburbs and watching moving data.

Part two looks into the importance of being top of mind for delivery, takeout, and pickup guests. Even with the current demand for socializing and in-person dining, off-premise dining guests are an important focus.

Now, I’m talking about being discoverable. Why? Because of where your guests are: their phones and desktops.

So, there are few crucial elements of your business to consider. Your website still matters. You need to ensure you own your venue listings. It’s crucial that your location information is up to date across platforms.

And now, meeting guests where they are will mean improving the odds that AI chatbots recommend your business.

Another ongoing KRG Hospitality series is our conversations with ChatGPT, Bing AI, and now Google Bard. It’s our chat with the latter that shows the importance of improving online discoverability.

Below, interactions with Bard and ChatGPT about using AI chatbots to discover restaurants, bars, and hotels.

Google Bard

Can people use Bard to discover new restaurants and bars, and book reservations?

Yes, people can use Bard to discover new restaurants and bars, and book reservations. Bard can access and process information from the real world through Google Search and keep its response consistent with search results. For example, if you ask Bard to find a restaurant with good Italian food in San Francisco, it will look for restaurants that have been rated highly by other users and that serve Italian food. Bard can also book reservations for you through OpenTable.

What criteria do you use to determine the best restaurant, bar or hotel for someone asking you to conduct a search of such businesses?

I use a variety of criteria to determine the best restaurant, bar, or hotel for someone asking me to conduct a search of such businesses. Some of the most important criteria include:

  • Customer reviews. I look at customer reviews to see what other people have said about the restaurant, bar, or hotel. This helps me get a sense of the quality of the food, service, and atmosphere.
  • Location. I also consider the location of the restaurant, bar, or hotel. I want to make sure that it is in a convenient location for the person I am recommending it to.
  • Price. I consider the price of the restaurant, bar, or hotel. I want to make sure that it is within the person’s budget.
  • Type of food. If the person is looking for a specific type of food, I will try to find a restaurant that serves that type of food.
  • Atmosphere. I also consider the atmosphere of the restaurant, bar, or hotel. If the person is looking for a casual or formal atmosphere, I will try to find a restaurant that fits their needs.
  • Other criteria. I may also consider other criteria, such as the hours of operation, the availability of parking, and the presence of accessibility features.

By taking all of these factors into account, I can help the person I am recommending it to find the best restaurant, bar, or hotel for their needs.

How can a restaurant, bar or hotel improve the odds that Bard would recommend them to someone?

There are a few things that a restaurant, bar, or hotel can do to improve the odds that I would recommend them to someone:

  • Provide excellent customer service. This means being friendly, helpful, and responsive to customer needs. It also means going above and beyond to make sure that customers have a positive experience.
  • Offer a unique or memorable experience. This could be anything from a special menu item to a unique atmosphere. Something that makes the restaurant, bar, or hotel stand out from the competition.
  • Be consistent. This means providing the same level of service and quality every time a customer visits. It also means being reliable and keeping promises.
  • Be responsive to feedback. This means listening to what customers have to say and taking their feedback into account. It also means being willing to make changes based on feedback.

By following these tips, restaurants, bars, and hotels can increase the odds that I would recommend them to someone.

If I asked you to find me the best cocktail bar in Las Vegas for early evening drinks and the best upscale restaurant for a late dinner in Las Vegas, what would you recommend?

Sure, I can help you with that. Here are my recommendations for the best cocktail bar and upscale restaurant in Las Vegas for early evening drinks and late dinner, respectively:

  • Cocktail bar: The Vesper Bar at The Cosmopolitan of Las Vegas. This award-winning bar offers a wide variety of cocktails, as well as a beautiful atmosphere. It is perfect for a romantic evening or a night out with friends.
  • Upscale restaurant: The Dorsey at The Venetian Las Vegas. This Michelin-starred restaurant offers a tasting menu of modern American cuisine. The atmosphere is elegant and the service is top-notch. It is perfect for a special occasion or a romantic dinner.

I hope this helps!

ChatGPT

Can people use ChatGPT to discover new restaurants and bars, and book reservations?

As an AI language model, I can provide recommendations and information about restaurants and bars, but I cannot directly book reservations for you. However, I can suggest several online platforms that allow you to book reservations at restaurants and bars, such as OpenTable, Resy, and Yelp Reservations. These platforms allow you to search for restaurants and bars based on various criteria such as location, cuisine, price range, and availability, and make reservations online.

If you’re looking for restaurant recommendations, I can provide suggestions based on your preferences such as cuisine, location, price range, and other factors. Additionally, I can provide you with information such as hours of operation, contact information, and customer reviews. Please let me know if there’s anything specific you’re looking for and I’ll do my best to assist you!

How do you help ChatGPT users find the best restaurants, bars, and hotels?

As an AI language model, I can help ChatGPT users find the best restaurants, bars, and hotels by using natural language processing and machine learning algorithms to understand the user’s preferences and provide personalized recommendations.

To find the best restaurants and bars, I can consider various factors such as cuisine, location, price range, ambiance, and customer reviews. I can also take into account any dietary restrictions or preferences the user may have, such as vegan or gluten-free options.

To find the best hotels, I can consider factors such as location, price range, amenities, and customer reviews. I can also help users find hotels based on their preferred style of accommodation, such as luxury, boutique, or budget.

In addition to recommendations, I can also provide users with useful information such as hours of operation, contact information, and directions. I can also assist with booking reservations or finding deals and discounts if available.

How can a restaurant, bar or hotel improve the odds that ChatGPT would recommend them to someone?

There are several ways a restaurant, bar, or hotel can improve the odds of being recommended by ChatGPT to someone:

  1. Positive Customer Reviews: Positive customer reviews are one of the most critical factors in ChatGPT’s recommendation algorithm. Encourage your customers to leave positive reviews on platforms such as Google, Yelp, or Tripadvisor, as these can greatly improve your chances of being recommended.
  2. High-Quality Photos: High-quality photos of your establishment, food, and drinks can make a big difference in attracting potential customers. Ensure that your website and social media pages have high-quality images that showcase the ambiance, menu, and overall experience of your establishment.
  3. Accurate and Up-to-Date Information: Ensure that your establishment’s information is accurate and up-to-date on various platforms. This includes your address, phone number, hours of operation, and menu.
  4. Responding to Customer Queries: Respond promptly to customer queries or complaints on various platforms, including social media. This shows that you value customer feedback and are willing to make improvements to provide an excellent experience.

Offering Unique Experiences: Offering unique experiences or features, such as signature cocktails or locally sourced ingredients, can help your establishment stand out and increase the likelihood of being recommended by ChatGPT.

If I asked you to find me the best cocktail bar in Las Vegas for early evening drinks and the best upscale restaurant for a late dinner in Las Vegas, what would you recommend?

For the best cocktail bar in Las Vegas for early evening drinks, I would recommend The Chandelier at The Cosmopolitan of Las Vegas. It is a three-story bar with a stunning chandelier centerpiece, offering a wide range of signature cocktails and a luxurious ambiance. It’s perfect for early evening drinks with friends or colleagues.

For the best upscale restaurant for a late dinner in Las Vegas, I would recommend Joel Robuchon at MGM Grand. It is a Michelin-starred restaurant with an elegant dining room and exceptional French cuisine. They offer a variety of tasting menus, including a vegetarian option, and a vast wine selection. The service is impeccable, and the atmosphere is perfect for a romantic dinner or a special occasion.

Takeaways

First, the bar and restaurant recommendations. As a Las Vegas local for creeping up on two decades, they’re solid. I think a first-timer would find them helpful and be happy with those selections.

More importantly, however, is what each bot reveals about discoverability. Operators need to make sure they’re responding to reviews quickly and properly; that they’re listings are under their control and the information is accurate; and that they’re courting reviews in the 4.0- to 4.7- star range. (More on that rating range in the near future.)

Then there are the other important considerations, such as pricing, cuisine, and atmosphere. When taking control of listings, operators must categorize their venues accurately.

Technology innovations often present a paradox. Ostensibly, technology makes lives easier. However, many operators likely find that much of tech makes things more difficult.

Leveraging tech often requires more work on the operator side—innovations often make things simpler for our guests. Of course, tech can make things easier for operators, it just takes a lot of work initially.

As people rush to develop AI—some say too quickly—it’s going to be top of mind for people searching for restaurants, bars, nightclubs, eatertainment venues, hotels, etc. Operators are going to have to meet their guests where they are: search engines and chatbots.

KRG Hospitality. Restaurant. Bar. Hotel. Feasibility Study. Business Plan.

Image: Solen Feyissa on Unsplash

by David Klemt David Klemt No Comments

Yes, We Finally Spoke with Google Bard

Yes, We Finally Spoke with Google Bard

by David Klemt

Person using Google Bard AI on their phone

Come on, now—you must know that after speaking with ChatGPT and Bing AI and sharing those chats our conversation with Google Bard is next.

Perhaps because its launch is more recent, Bard is slower to answer than ChatGPT. I can’t know for certain but it’s reasonable to assume eager users are overwhelming Bard.

As far as the user experience, I like that Google includes a disclaimer about interacting with Bard. Unsurprisingly, Google warns that Bard can provide inaccurate, misleading, or false information. Interestingly, the company also recommends people “Google it” if they’re unsure about the answers Bard offers.

Below you’ll find the same questions I asked of ChatGPT in January and Bing AI in March. Not surprisingly, Bard “believes” robots and AI are more beneficial than detrimental for our industry.

Please write 400 to 500 words about robots and artificial intelligence working in restaurants, from the perspective of robots and AI.

As a robot working in a restaurant, I have a unique perspective on the challenges and opportunities that automation presents. On the one hand, it can be difficult to compete with humans who are more flexible and creative. On the other hand, automation can help restaurants to reduce costs and improve efficiency.

One of the biggest challenges for robots in restaurants is the need to be able to adapt to changing circumstances. For example, if a customer makes a special request, a robot needs to be able to adjust its plans accordingly. This can be difficult, as robots are often programmed to follow a set of instructions.

Another challenge is the need to be able to interact with customers in a natural and engaging way. Customers expect robots to be polite and helpful, and they should be able to answer questions and provide assistance. This can be difficult, as robots are often not as good at understanding human language as humans are.

Despite these challenges, there are also many opportunities for robots in restaurants. Automation can help restaurants to reduce costs by eliminating the need for human employees. This can be especially beneficial in areas with high labor costs. Automation can also help restaurants to improve efficiency by reducing the time it takes to prepare and serve food. This can lead to shorter wait times for customers and higher profits for restaurants.

In addition, automation can help restaurants to provide a more consistent and reliable experience for customers. Robots are not subject to the same fatigue and errors as humans, and they can work 24 hours a day without a break. This can lead to better food quality and faster service.

Overall, I believe that the opportunities for robots in restaurants outweigh the challenges. Automation can help restaurants to reduce costs, improve efficiency, and provide a better experience for customers. As the technology continues to develop, I believe that robots will play an increasingly important role in the restaurant industry.

From the perspective of artificial intelligence, the use of robots in restaurants is a fascinating development. AI has the potential to revolutionize the restaurant industry, and it is already being used to automate tasks such as food preparation, order taking, and delivery.

AI can also be used to personalize the restaurant experience for customers. For example, AI can be used to recommend dishes that customers are likely to enjoy based on their past orders. AI can also be used to create virtual assistants that can answer customer questions and provide support.

The use of AI in restaurants is still in its early stages, but it has the potential to revolutionize the industry. AI can help restaurants to improve efficiency, reduce costs, and provide a better experience for customers.

Can you explain to me, in 300 to 400 words, what the ethical implications are for restaurant, bar, and hotel operators using artificial intelligence and robots to complete tasks?

Sure. Here are some of the ethical implications for restaurant, bar, and hotel operators using artificial intelligence and robots to complete tasks:

  • Job displacement: The use of artificial intelligence and robots could lead to job displacement, as some tasks that are currently done by humans could be done by machines. This could lead to increased unemployment and reduced income for workers.
  • Bias: Artificial intelligence and robots could be biased, as they are often trained on data that is collected from human sources. This could lead to unfair treatment of customers, employees, and other stakeholders.
  • Privacy and security: The use of artificial intelligence and robots could raise concerns about privacy and security, as these systems could collect and store data about customers and employees. This data could be used to track customers’ movements or to monitor employees’ activities.
  • Safety: The use of artificial intelligence and robots could raise concerns about safety, as these systems could malfunction or make mistakes. This could lead to injuries or even death.
  • Customer experience: The use of artificial intelligence and robots could have a negative impact on the customer experience, as some customers may find it unsettling or uncomfortable to interact with machines. Additionally, customers may feel that the use of robots and artificial intelligence detracts from the human element of the service experience.

It is important for restaurant, bar, and hotel operators to consider these ethical implications before implementing artificial intelligence and robots in their businesses. By carefully considering these issues, operators can help to ensure that the use of these technologies is done in a responsible and ethical manner.

Are there risks that human designers and engineers will introduce bias to customer-facing artificial intelligence and robots?

Yes, there are risks that human designers and engineers will introduce bias to customer-facing artificial intelligence and robots. This is because humans are inherently biased, and this bias can be reflected in the way that we design and engineer systems.

One way that bias can be introduced is through the data that is used to train artificial intelligence systems. If the data is not representative of the population that the system will be interacting with, then the system may be biased. For example, if an artificial intelligence system is trained on data from primarily white and wealthy customers, it may have difficulty understanding and serving customers from other backgrounds.

Another way that bias can be introduced is through the algorithms that are used to control artificial intelligence systems. If the algorithms are not designed to be fair, then the system may be biased. For example, if an algorithm is designed to favor customers who spend more money, then customers who spend less money may be treated unfairly.

It is important for human designers and engineers to be aware of the risks of bias and to take steps to mitigate these risks. This can be done by using a variety of methods, such as using diverse data sets, designing fair algorithms, and testing systems for bias. By taking these steps, we can help to ensure that artificial intelligence and robots are used in a fair and ethical manner.

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Infographic Shows Massive Tech Growth

Infographic Shows Massive Hospitality Industry Tech Growth

by David Klemt

White robot hand

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.

Brizo FoodMetrics 2023 Restaurant Tech Landscape

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

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Chief Marketing Officer Joins SevenRooms

Chief Marketing Officer Joins SevenRooms

by David Klemt

"The only way is up" sign

Just weeks after revealing a new partnership to start 2023, SevenRooms is now announcing their first-ever chief marketing officer.

Today, the guest retention platform takes another massive step in their march toward continuous growth. Josh Todd, former CMO of Mindbody, will serve as CMO of SevenRooms moving forward.

“Over the past year, I was able to get to know Joel and the SevenRooms team and see the differences they are making across the hospitality industry through data and insights,” says Todd. “Throughout my career, I have been passionate about deepening the human connections and experiences within the industries I’ve worked in, and I immediately recognized that SevenRooms truly embodies the operator-first mentality, making this a natural move for me. I’m honored to join the team and look forward to bringing my expertise and storytelling to the table.”

Todd’s appointment to CMO is yet another example of SevenRooms’ seemingly unstoppable growth. Each year, the platform strategizes, analyzes how their moves can benefit operators, and expands while streamlining.

It’s this growth that shows operators they’re here to serve the industry for the foreseeable future. And it’s this growth that should make operators confident about implementing SevenRooms in their tech stacks.

“As we head towards the next growth stage for SevenRooms, we are thrilled to welcome an experienced, proven leader in Josh to the team,” says Joel Montaniel, CEO and co-founder of SevenRooms. “Josh is a true full-stack marketer, highly analytical, and brings a strong point of view on what drives successful marketing organizations… With a background rooted in doing what’s best for operators and a true passion for bringing incredible experiences to life, we know his customer-centric approach will help propel us into the future.”

Continual Growth

In March 2021, SevenRooms appointed Pamela Martinez as the company’s chief financial officer.

By September of the same year, the platform had entered into a multi-year partnership with TheFork. This was significant news for operators throughout Europe and Australia. Additionally, this partnership illustrated how SevenRooms is pursuing global growth.

A month later, in October of 2021, the company formed a partnership with Olo. With this move, SevenRooms ensured clients who also use Olo were able to capture a key group’s data: off-premise customers. Using that information, profiles for those customers are created automatically. That means operators can learn more about—and effectively market to—customers who engage with them via online orders.

Then in December 2021, SevenRooms and ThinkFoodGroup—the hospitality company behind Chef José Andrés’ portfolio of restaurants—publicized their partnership. Interestingly, this partnership also saw ThinkFoodGroup joining SevenRooms in an advisory role.

To kick things off in 2022, the platform announced the hiring of a chief revenue officer, Brent-Stig Kraus.

Oh, and just weeks ago, to ring in 2023, SevenRooms entered into a partnership with Competitive Social Ventures.

Of course, not all of SevenRooms’ growth over the past few years involves crucial C-suite roles and entering into partnerships. While those moves benefit operators and our industry, there are other developments worth noting.

Along with hiring Martinez as CFO, the platform launched Direct Delivery in March 2021. This online ordering solution makes it easier for operators eliminate third-party fees; maintain control of the guest data they collect; and fulfill the guest desire to order from restaurants directly and effortlessly.

Image: Nick Fewings on Unsplash

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SevenRooms Kicks Off 2022 with Growth

SevenRooms Kicks Off 2022 with Growth

by David Klemt

Restaurant worker using SevenRooms on tablet

SevenRooms continues their growth by kicking off 2022 with the announcement of a new, crucial addition to the team.

Today, the hospitality technology company announces the hiring of Brent-Stig Kraus. Formerly the senior vice president of sales for ChowNow, Kraus will take on the role of chief revenue officer at SevenRooms.

As CRO, Kraus will play a crucial role in further accelerating SevenRooms’ impressive global growth. The company’s new CRO will accomplish this goal by identifying and pursuing partnership opportunities, targeting high-growth sales, and scaling sales globally.

Steady Growth

In March of last year, SevenRooms brought on Pamela Martinez as the company’s chief financial officer.

By September of 2021, the platform announced a multi-year partnership with TheFork. In particular, this was major news for operators throughout Europe and Australia. Additionally, this partnership illustrates how SevenRooms is pursuing long-term global growth.

A month later, in October of last year, the company entered into a partnership with Olo. In doing so, SevenRooms ensures clients who also use Olo can capture their off-premise customers’ information. That data then creates profiles for those customers automatically, meaning operators can learn more about and effectively market to customers who engage with them via online orders.

In December of 2021, SevenRooms and ThinkFoodGroup—the hospitality company behind Chef José Andrés’ portfolio of restaurants—announced their partnership. Interestingly, this partnership sees ThinkFoodGroup joining SevenRooms in an advisory role.

And it’s not just filling crucial C-suite roles and entering into partnerships that benefit operators and the industry that are examples of SevenRooms’ rapid growth.

Along with hiring Martinez as CFO, the platform launched Direct Delivery in March 2021. This online ordering solution helped operators eliminate third-party fees; retain control of guest data; and fulfill guest desire to order from restaurants directly and seamlessly.

Finally, the company ended 2021 by sharing their 2022 trend predictions.

Why this Matters

Tech innovations are crucial to the long-term future of the hospitality industry. Restaurateurs, bar owners, and hoteliers, were once wary of adopting new tech.

Now, they’re investing more to streamline operations; automate reservations, online ordering, and marketing campaigns; and improving customer and staff relationships.

However, without growth a platform eventually becomes outdated. When that happens, the investment made by an operator to include it in their tech stack becomes a burden and liability.

As SevenRooms continues their growth, they prove worthy of an operator’s support and investment. We continue to support SevenRooms—without receiving any compensation for doing so—in large part because of the platform’s growth.

In addition to their available tools, we’re always eager to see what they’ll release next to make life simpler for operators.

Image: SevenRooms

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