2023 Restaurant Industry Outlook: Leveraging AI & Analytics to Streamline Operations (and Much More)
What is the greatest disruptive force on the restaurant industry?
Connolly: The greatest disruptive forces on the restaurant industry today are the labor situation and supply chain issues. Going forward, technology elements of the Fourth Industrial Revolution such as artificial intelligence, the Internet of Things, robotics, and drones will likely provide great disruption as they become more capable and affordable.
Diomede: AI and Machine Learning will become ubiquitous in making our baristas smarter.
Malbec: Prescriptive AI: for years we have had technology be able to tell us when something is happening (your labor cost is trending to be too high based on your sales being 5% down today) but we are now entering an era where prescriptive AI (…therefore send Lindsay home now and have Myles come in an hour later) should be able to help management know what to do with the dynamic data being presented. We are reaching a stage, with continued challenges in keeping tenured managers, where the industry will rely heavily on machine learning and prescriptive AI to help make left-right business decisions throughout the course of a business day in order to keep businesses profitable.
Joe Tenczar, Chief Information Officer, Restaurant CIOs: In 2023 it will likely be food costs.
What technologies should restaurants be looking to embrace?
Connolly: Restaurants need to find ways to expand capacity and capabilities in light of the current labor shortages. As such, they should be looking to embrace technologies that streamline workflows (such as tablets, pay at the table, automated inventory and purchasing) and, where possible, that can offload work from restaurant staff through automation (such as artificial intelligence, voice response systems, robotics in the back of the house) and by shifting aspects such as reservations, ordering, and payments to guests. It is also important for restaurant to have good demand and labor forecasting systems in place and a robust way to connect with employees to fill open shifts.
Diomede: Software-Defined Store Infrastructure, Enhanecd Usability, AI/ML.
Malbec: Recognize that today’s workforce is not yesterday’s workforce; they are motivated and therefore retained based on different drivers. Look to technologies that embrace the individuality of your workforce and allow the on-demand access to information and lifestyle flexibility that they covet. Recognize that employees do not view their job as a paycheck but often as an extension of their values, and as such simply offering a few dollars more pay without addressing the unique aspects of today’s workforce could be detrimental.
Tenczar: A great analytics platform that allows you to understand your guests and your operations. This is especially important when there are large cost pressures.
What’s the most overhyped tech?
Connolly: I consider the Metaverse, drone delivery, and service robots (those in the front of the house) to be overhyped technologies. While they may have a great deal of appeal and offer a lot of potential, these technologies are still evolving. They are getting lots of press, and some companies are investing considerable capital in these technologies, the return on investment isn’t there yet, and unfortunately, the hype is distracting attention and resources away from other key priorities such as the guest experience, friction-free commerce, and labor needs.
Diomede: AI/ML. There is a risk that folks will assume that this provides a silver bullet to solve all kinds of staffing shortage issues. This is not true, in my experience and opinion.
Mehmet Erdem, Ph.D., CHTP, Associate Professor of Hotel Ops. & IT, William F. Harrah College of Hospitality, University of Nevada, Las Vegas: Robotics in restaurants. A majority of robotics applications in the restaurant industry are enhanced versions of automation and self-service technologies,i.e. "bartender Robot, Robot Chef, etc." . The hype of advances in restaurant Robotics is often misconstrued as the industry being just a step away from Humanoids interacting with patrons and employees at the same level of human employees/managers, and serving staff being at the verge of being replaced by Humanoids. Current applications are far away from delivering high-quality guest interactions.
Malbec: Loyalty Programs: if your organization has not moved away from a “BUY X and GET Y” philosophy, then you are continuing to promote a behavior that has not shown an definitive ROI. Look at instituting a Recognition program that captures unique data on each of your guests and curates an experience designed just for them. In many cases, it may not even include discounting, but targets those things that the customer wants and improves their experience. Rewards should be managed judiciously and used where effect can actually be measured.
Tenczar: Cryptocurrency. The restaurant industry can’t even figure out how to embrace digital wallets on a large scale. Crypto wouldn’t be possible unless that could happen.
Restaurants and hotels have leaned heavily into contactless technology over the past three years. What’s next?
Connolly: When it comes to contactless technology, I foresee the use of technologies with more natural form factors (e.g., voice-activated systems where people can speak directly to place orders, make reservations, settle their checks, etc.). I also envision the use of ubiquitous computing down the road to seamlessly complete and pay for transactions. Amazon’s Just Walk Out technology could be a harbinger of this.
Erdem: A recent study we have conducted indicates that guests' preference for contactless technologies is on the raise. In the short term, the next stage for ensuring successful adoption is the inclusion of contactless tipping as a standard function. Although restaurants don't have a comparable 'captive audience' like cruise-lines and theme-parks where guests are more willing to embrace the dependance on contactless technologies in exchange for convenience, in the long-term we should expect to see a wider range of contactless applications across the restaurant industry in order to meet the evolving expectations of guests and to enhance the overall dining experience.
Tenczar: Short term – staff ID cards. No reason to have a swipe or to type in your code! Long term- ubiquitous wallet that has guest preferences across restaurants.
Where has technology been underserved?
Connolly: I consider an undertapped technology to be a restaurant’s Wi-Fi. A restaurant’s Wi-Fi can provide a treasure-trove of data, that if analyzed and used effectively, can provide invaluable insights regarding customer traffic, demand patterns, and other customer insights that can be used to create marketing opportunities. While many restaurants offer free Wi-Fi, I am not sure that many are aware of and currently capitalizing on the data that are being collected.
Malbec: Menu engineering and analysis: did that LTO actually generate more revenue than we would have otherwise (margin, frequency, add-ons) or did it actually cannibalize our business? What items should we promote more vigorously either through menu placement of menu board promotion to help improve the bottom-line or to move excess ingredient inventory? I am not aware of any vendor who does these kinds of analysis well.
In the wake of increased data collection, what data technologies should restaurants be looking to?
Connolly: If they aren’t already doing so, restaurant companies should be looking to adopt some of the top data analytics tools. There are many available; for example, Tableau, Python, Apache Hadoop, and SAS, to mention a few. It is also important to have good data cleansing tools. Remember, gleaning accurate insights from data is dependent on having quality data!
Tenczar: Many restaurants are utilizing customer data platforms. If your restaurant is not, you are missing out on tying the guest information to their transactions for the purposes of customization and marketing segmentation. Also, back-office analytics products are mandatory for all but the smallest brands.