Dynamic pricing

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Modern Day Revenue Management for Hotels

Modern Day Revenue Management for Hotels

by Doug Radkey

An AI-generated hotel bar area with seating next to large windows, with numbers superimposed over the image

Note: Image generated by artificial intelligence.

The landscape of hotel revenue management has evolved significantly in recent years, driven by both tech advancements and changing consumer behaviors.

With this in mind, I think now would be a good time to explore these current trends, tools, and strategies in hotel revenue management.

Below, I outline the importance of data analytics, dynamic pricing, and AI in maximizing revenue today, and as we move forward in this industry.

The Evolution of Revenue Management

In the early days of the hotel industry, revenue management was a relatively straightforward affair.

While the overall concept of revenue management originated in the airline industry in the 1980s, it was later adapted by hotels. Traditional practices relied primarily on static pricing models, where room rates were set based on the season, room type, and booking lead time. Rates were adjusted infrequently (often just a few times per year), and they were influenced mainly by historical data documented internally, and the intuition of revenue managers.

Hotels used simple tools such as spreadsheets and reservation logs to track bookings and manage their inventory. The focus was on achieving high occupancy rates rather than maximizing revenue per available room (RevPAR) and the other key metrics that we follow today.

Discounts and promotions were applied sporadically, without a deep understanding of market segments or consumer behavior, to help drive revenue during off-season periods. Group rates and corporate contracts were negotiated based on fixed rates, with little consideration for fluctuating market conditions.

From Static Pricing to Dynamic, Data-Driven Strategies

The transition from those early days to modern revenue management practices began in the late 1990s and early 2000s, driven by tech advancements and increased competition in the accommodation space.

The advent of online travel agencies (OTAs), real-time booking systems, and sophisticated data analytic tools transformed how hotels approached their pricing and inventory management.

So, what’s the modern approach?

  • Data-Driven Decision Making: The incorporation of advanced data analytics revolutionized revenue management. Hotels began leveraging large datasets from various sources, such as reservation systems, customer relationship management (CRM) software, and market intelligence platforms. This data-driven approach enabled more accurate forecasting, segmentation, and pricing strategies. Revenue managers could now analyze booking patterns, guest preferences, and demand fluctuations to make informed decisions.
  • Dynamic Pricing Models: Dynamic pricing involves adjusting room rates continuously based on real-time market demand, competitor pricing, and other external factors. This approach allows hotels to maximize revenue by selling the right room to the right guest at the right time and price. Dynamic pricing models consider various data points, including booking pace, market trends, weather, and special events, to optimize their recommended rates.
  • Automation and Real-Time Adjustments: Modern revenue management systems (RMS) introduced automation, allowing hotels to implement real-time rate adjustments. These systems use algorithms and machine learning to analyze data and update rates across all distribution channels automatically. This automation minimizes manual errors, and ensures consistent pricing across platforms, enhancing the hotel’s ability to respond to market changes quickly.
  • Focus on Total Revenue Management: While traditional revenue management focused primarily on room revenue, modern practices embrace a more holistic view known as total revenue management. This approach considers all revenue streams, including food and beverage, spa services, and other on-property offerings. By optimizing pricing and promotions across all areas, hotels can now maximize total revenue and profitability.

The Importance of Data Analytics

Data analytics involves the systematic analysis of data to uncover patterns, correlations, and trends that inform strategic decisions.

Sounds fairly important, right? In the hospitality industry, data analytics helps you understand market dynamics, predict demand, and tailor your hotel’s offering to meet guest needs. This level of analysis is paramount for developing effective revenue management strategies that maximize profitability.

One of the primary functions of data analytics in hotel revenue management is demand forecasting. By analyzing historical booking data, seasonal trends, and external factors such as local events, weather, or economic conditions, hotels can predict future demand accurately. This forecasting through data analytics enables hotels to adjust room rates more dynamically, optimize inventory allocation more efficiently, and implement targeted marketing campaigns that drive results.

Modern analytics platforms have revolutionized hotel revenue management by providing sophisticated tools for data analysis, strategic planning, and dynamic pricing. Atomize RMS stands out as a prime example of an advanced analytics tool that leverages data-driven decision-making to optimize hotel performance through dynamic pricing. This cloud-based revenue management system (RMS) uses sophisticated algorithms and machine learning to provide real-time pricing recommendations, as well as market insights.

Atomize enables hotels to make informed decisions based on real-time market conditions and predictive analytics by leveraging machine learning and big data. This data-driven approach leads to more precise pricing strategies, optimized inventory management, and improved profitability.

Moreover, the system’s ability to automate and streamline revenue management processes reduces the risk of human error, and frees up time for hotel staff to focus on other critical aspects of operations, such as providing a memorable guest experience, and elevating service quality.

The Role of Artificial Intelligence (AI)

Artificial Intelligence (AI) has further revolutionized the field of revenue management in the hotel industry, offering advanced capabilities that enhance both efficiency and profitability. Another AI-powered RMS provider is Duetto Cloud’s Game Changer, designed to analyze large datasets, identify patterns, and make real-time decisions.

One of the key capabilities of an AI-powered RMS is the automated pricing optimization. The system monitors market conditions continuously and adjusts room rates based on real-time data, with limited rules in the back-end. This dynamic pricing approach allows hotels to capitalize on fluctuations in demand, ensuring that they are charging the optimal rate at any given time.

These accurate forecasts can enable hotels to plan more effectively, manage inventory, and allocate resources more efficiently.

For example, AI can help predict when a hotel is likely to experience high demand and adjust staffing levels accordingly, ensuring optimal service quality. Additionally, accurate forecasting helps in identifying potential periods of low occupancy, allowing hotels to implement targeted marketing campaigns and promotional offers to boost bookings.

Beyond pricing and forecasting, AI-powered RMS can also enhance the guest experience through personalization. By analyzing guest data such as booking history, preferences, and feedback, AI systems can tailor offers and recommendations to individual guests.

For instance, an advanced RMS can identify a guest’s preference for specific room types, amenities, or dining options and use this information to provide personalized packages or upsell relevant services.

As AI technology continues to evolve, its role in revenue management is expected to grow, offering even more sophisticated capabilities and insights for hotels. Embracing AI-powered RMS now is going to be essential for hotel operators who are looking to compete and win in today’s fast-paced and data-driven market.

Integrating Revenue Management with Other Hotel Operations

As mentioned above, modern hotel revenue management is moving away from the siloed approach of focusing solely on room-based revenue. Increasingly, that outdated method is being replaced by a more holistic perspective that encompasses the entire guest experience.

This shift necessitates cross-department collaboration, aligning revenue management with sales, marketing, and operations to create cohesive strategies that optimize total revenue. Integrating efforts across departments means hotels can enhance their revenue streams and also provide a seamless and enriching experience for their guests.

To maximize total revenue, hotels must look beyond room revenue to optimize ancillary revenue streams, such as food and beverage (F&B), spa services, events, and so much more. This approach, known as total revenue management (TRM), involves a comprehensive strategy that considers all aspects of the guest experience.

For example, coordinating F&B with revenue management ensures that the on-property restaurant reservations and event bookings align with the hotel’s overall occupancy and pricing strategies.

The obvious and ultimate goal of cross-department collaboration is to enhance the guest journey and experience. Aligning efforts across revenue management, sales, marketing, and operations ensures hotels can create a seamless and personalized experience for their guests.

This can include personalized room amenities, customized dining options, and exclusive access to hotel facilities. Engaging with guests before, during, and after their stay through targeted communications and personalized offers can further enhance their experience and encourage repeat visits.

Looking Ahead

As you can see, modern hotel revenue management has become an intelligent discipline driven by data analytics, dynamic pricing, and artificial intelligence (AI). These elements are really becoming a non-negotiable for optimizing revenue, enhancing guest experiences, and maintaining a competitive edge.

Data analytics provides deep insights into market trends, guest behaviors, and demand patterns, enabling more accurate forecasting and strategic decision-making. Dynamic pricing, powered by real-time data and AI, allows hotel operators to adjust room rates fluidly, maximizing revenue by responding to market conditions.

AI further enhances revenue management through advanced capabilities such as predictive analytics and personalized guest services, all of which streamline operations and improve efficiency when integrated with other departments within your hotel.

Looking ahead, the future of hotel revenue management promises exciting innovations and trends. As AI and machine learning technologies continue to advance, we can expect even more precise forecasting models, and highly personalized guest experiences. The integration of big data from diverse sources, including social media, online reviews, and IoT devices, will provide richer datasets for analysis, leading to more nuanced insights and strategic opportunities.

Additionally, the increasing importance of TRM and revenue per available guest (RevPAG) will encourage hotels to optimize not just room revenue but also ancillary streams such as dining, spa services, events, and more.

Move Forward Today

For hotel operators like yourself, you must embrace and invest in advanced analytics tools, AI-powered RMS, and dynamic pricing strategies.

Adopting a data-driven approach will position you to better understand your hotel’s market, anticipate demand fluctuations, and tailor your offering to meet guest expectations.

This proactive stance will not only drive revenue growth but also enhance your brand equity.

Stay ahead of the curve and adopt cutting-edge technologies and strategies to navigate the complexities of the modern market and ensure long-term success. Now is the time to invest in the future, leverage the power of data and AI, and lead your hotel to new heights of profitability and excellence.

Image: DALL-E

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SevenRooms Drops Extensive 2024 Report

SevenRooms Drops Extensive 2024 Report

by David Klemt

Guests dining in a light, bright restaurant featuring a glass ceiling and hanging plants

Today, we’re taking a look at the first-annual trends report from marketing and operations platform SevenRooms, which focuses on the guest experience.

To gain an understanding of the current state of affairs in America, SevenRooms analyzed the product data of more than 3,000 US clients. Further, the platform engaged over 250 operators, and 1,000 consumers.

The result is a data-rich report that offers helpful insights for operators.

Two findings are particularly interesting to me, and the team here at KRG Hospitality. One, it appears that Americans are back to seeking out their third spots. As a refresher, a third spot, space, or place is where one spends time when away from home or work. Consumers tend to be loyal to these places, making them part of their everyday or weekend routine.

Two, younger consumers are leading the way in terms of restaurant visits. Per SevenRooms, 38 percent of Millennials visit restaurants five or more times per month. Gen Z is also visiting restaurants frequently, with 24 percent visiting five times or more. However, that number climbs to 45 percent for Gen Z when it comes to three or four monthly visits. Among Millennials, 33 percent visit restaurants three or four times per month.

That tells us that younger consumers are eager to socialize, and restaurants can fulfill that desire. As savvy operators know, a person can eat or drink at home; food and beverages are just excuses to get out, hang out, and meet new people.

This also tells us that operators need to ensure they’re ticking several boxes to resonate with younger guests: value, convenience, and personalization. I’ll add that consumers have shown they want to support brands with values that align with their own.

There are many more insights in SevenRooms’ new report, which you can find below. To view the report in its entirety, click here.

SEVENROOMS RELEASES 2024 RESTAURANT TRENDS AND DINER EXPECTATIONS REPORT FOR THE HOSPITALITY INDUSTRY

Annual report gives an inside look at how restaurants are delivering better guest experiences and personalizing their marketing in the age of AI and automation

NEW YORK (August 6, 2024) – SevenRooms, the leading CRM, marketing and operations platform for growing restaurants, today released its first annual trends report, “2024 Restaurant Trends and Diner Expectations, highlighting how restaurants are filling the need for ‘third places’, connection spots outside the home and workplace, what consumers expect from their dining experiences, and how restaurants are leveraging AI and automation to keep diners coming back.

The study, commissioned through independent third-party research firm Censuswide, examines consumer and foodservice operator insights, alongside data from SevenRooms restaurant customers. It emphasizes the importance of restaurants understanding their guests and providing experiences and value to consumers, including marketing and tech trends that operators are paying attention to.

Diners Expect More From Restaurants

While it’s no surprise that diner expectations have evolved in recent years, consumers across generations and cities share key expectations when dining out — they’re looking for convenience, personalization and value from brands they trust. Restaurants must nail all aspects of the guest experience, from hospitality and service to ambiance and atmosphere, to transform diners into brand ambassadors and get them to bring their dollars back more often.

When looking across generations, Millennials are driving a dining resurgence – dining out most frequently with 38% saying they dine out more than 5x a month. They are seeking more from their restaurant visits, and are willing to spend more for elevated experiences, like theatrical elements or high-end items like caviar. For these experiences, Americans are willing to spend up to $63 per person with 45% of Gen Zers open to paying even more. As diners focus on the quality over quantity of their experiences, that means restaurants must do more to keep those diner dollars. Dining upgrades consumers are willing to spend more fall into three categories – experiential, luxurious and personal, including:

  • Experiential (e.g. tableside martini cart; fish presentation or deboning, etc.)
    Dallas – a menu item with some theater (86%)
    Washington DC – a menu item with some theater (71%)
  • Personal (e.g. birthday dessert; welcome drink)
    Chicago – a mocktail or personalized item (55%)
  • Luxurious (e.g. caviar, freshly shaved truffles, seafood tower)
    Los Angeles – high-end items like caviar (55%)
    New York – high-end items like caviar (48%)

Outside of these experiential offerings, restaurants must also capitalize on influential factors that bring diners back. For example, 34% of Gen Zers want personalized surprises in service like a free dessert. Meanwhile, 26% of Millennials care about the ease of making a reservation and 24% of Gen Xers consider the rapport they develop with front-of-house staff. Tailoring guest experience and service helps operators turn one-time diners into loyal customers.

“New consumer demands are pushing restaurants to find the right balance between hospitality and automation to create the experiences guests crave and return for,” said Joel Montaniel, CEO & Co-Founder at SevenRooms. “Diners want both access and recognition when spending their hard-earned dollars, and restaurants must embrace new strategies – and technologies like AI and automation – to enhance hospitality at every touch point. Whether leveraging platform data to personalize diner experiences or power marketing and retention programs, technology and data serve as a vehicle to execute hospitality that guests remember and return for. When technology is used effectively, it allows operators to focus on building deeper connections and delighting guests, one experience at a time.”

Loyalty is Never One-Size-Fits-All

In the U.S., there was a 21% year-over-year increase in reservations comparing Q1 2023 to Q1 2024 and restaurants are looking to a promising future. Whether operators are focused on opening new locations or revamping their social media marketing efforts, one factor remains the same – establishing personal relationships with diners is the strongest way to build and maintain loyal customers.

Consumers have a strong intent to dine with their favorite brands. If a guest can’t get a reservation at their preferred restaurant, 39% of guests look for a sister restaurant to dine at, and 27% check other sites for the same restaurant.

Cultivating loyalty is critical. Loyalty is not a one-size-fits-all effort and diners have different interests when it comes to the benefits they seek out from loyalty programs. Restaurants need to understand their diner demographics to curate operations and offerings, getting their guests to not only return more often but spend more in the process.

38% of diners who would spend $89-$126 on an average night are looking for exclusive VIP events, while 33% of consumers who dine out 7-8 times per month want VIP access to specialty seating areas. Breaking down generational differences:

  • 72% of Gen Zers care most about free menu items
  • 30% of Millennials care most about VIP access to specialty dining areas
  • 1 in 5 Gen Xers and Baby Boomers want early access to reservations

Genuine, Tailored Marketing is Critical to Success

When it comes to marketing, authenticity and personalization reign supreme for consumers. Guests want to be known by their favorite restaurants, and restaurants want to know and understand their guests. To reach these consumers, and serve up personalized marketing that makes guests want to return, restaurants have to use all the tools in their arsenal – from social media to email and text marketing automation – to create high-touch communications that are both authentic and personal.

79% of restaurant operators spend the majority of their marketing budget on social media. Their top social media goals are to drive bookings or online orders (39%), increase brand awareness (29%) and communicate with their audiences (29%). But not all content is created equal – 39% of operators say that organic posts drive the most bookings to their restaurants. Restaurants that showcase their personality – highlighting their team, food and drinks and atmosphere – will win with consumers as they look for more genuine content from brands.

Most diners like hearing about restaurant promotions and offers via email and text, and aren’t as interested in social media DMs or phone calls, but specific preferences vary by generation. 41% of Gen Zers prefer text marketing, whereas 38% of Millennials and 37% of Gen X prefer email marketing.

With targeted Email Marketing, the data report notes that operators see 23% higher open rates and 28% higher click-to-open rates, generating 2x more revenue per email. Text marketing is fairly new for restaurants, but has huge potential, with an average open rate of 98% and $1.64 average reservation revenue generated per text message on SevenRooms. For one SevenRooms customer, Fabio Viviani Hospitality, it drove $220,000 in revenue and 3,000 new guests in just 4 months.

“The biggest thing that excites me about text messaging is that it’s very hard to ignore. When our phones beep, we are just driven to look at them,” said Harry Kaminski, CMO at Fabio Viviani Hospitality. “It’s easier to ignore an email than it is a text.”

Artificial Intelligence (AI) Comes into Play

Every industry today is using AI and automation in some way to streamline their operations and help staff work more efficiently – and the same is true for the restaurant industry. 70% of operators surveyed said they use artificial intelligence in some way to run their business, including:

  • 35% – Processing reservations
  • 34% – Inventory management
  • 33% – Data analytics
  • 27% – Scheduling
  • 26% – Dynamic pricing

But there is room to grow with AI, with only 16% saying they use it to create marketing collateral and 15% for staff hiring and training. With personalized marketing a large focus for operators in 2024 and beyond, as well as hiring and retaining staff to deliver on high-touch hospitality, operators have an opportunity to use AI more effectively.

“AI elevates our storytelling around data,” said Kelly MacPherson, Chief Supply Chain and Technology Officer at Union Square Hospitality Group. “We have a wealth of data at our fingertips, but this can create analysis paralysis. With AI, we can more efficiently synthesize the data, create stories about what’s happening, why it’s happening, and what we can do about it, and then present these stories to our teams in a digestible format with actionable next steps.”

For more information about SevenRooms and to download the full report, please visit here.

About SevenRooms

SevenRooms is a CRM, marketing and operations platform for growing restaurants in the hospitality industry. From Michelin star gems to local favorites, the all-in-one platform helps restaurants increase sales, delight guests, and keep them coming back, automatically. The full suite of products includes reservations, waitlist and table management, review aggregation, referrals, email marketing, and marketing automation. Founded in 2011 and venture-backed by Amazon, Comcast Ventures and PSG, SevenRooms has more than 10,000 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, Union Square Hospitality Group, Australian Venue Co., Maple & Ash, The Wolseley Hospitality Group, Dishoom, Groot Hospitality, MLSE, Live Nation and Topgolf.

Research Methodology

SevenRooms partnered with Censuswide Research – a third-party, professional research and consulting organization. Total sample size was 1,004 U.S. consumers. Fieldwork was undertaken between March 4-11, 2024. The survey was carried out online. The figures have been weighted and are representative of all U.S. adults (aged 16+).

SevenRooms partnered with Censuswide Research – a third-party, professional research and consulting organization. Total sample size was 251 U.S. operators (hospitality decision-makers). Fieldwork was undertaken between March 4-19, 2024. The survey was carried out online. The figures have been weighted and are representative of U.S. hospitality operators.

SevenRooms provided anonymized internal data representative of U.S.-based restaurants using the SevenRooms platform and surveyed a sample of operators at various restaurant sizes and types across the U.S. from March-May 2024.

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Dynamic Pricing or Dynamic Menus?

Dynamic Pricing or Dynamic Menus?

by Doug Radkey

Two sportbikes racing

A key phrase used throughout 2022 was “the new normal.” In 2023, a key term you will likely hear a lot is “dynamic pricing.”

What is dynamic pricing? It can get quite complex, but the global consulting company, McKinsey, defines dynamic pricing as “the (fully or partially) automated adjustment of prices.”

The term is not entirely new to hospitality. Hotels and the overall travel industry have used modules of the pricing model for years. But for restaurants and even bars, yes, it is something new.

It is also a model getting a lot of attention of late, which begs the following question: Why?

As the bar and restaurant industry recovers from the effects of the pandemic, a dynamic pricing model that optimizes revenue opportunities may seem quite attractive. After all, our industry is looking to rejuvenate its sales to pre-pandemic levels.

Essentially, a dynamic pricing model within this industry would work like this: increase prices when demand is up (peak periods), decrease prices to draw guests in when demand is down (off-peak times).

But should this be a model that disrupts the industry in 2023 and into 2024?

While I am all for a little disruption, the industry needs to tread carefully through this potential transition to dynamic pricing (or perhaps just around the phrase itself) that’s based on demand levels.

Guest Experiences

We all know (or should know) that we do not sell a product. What we sell is an experience.

If we can create a positive, memorable guest experience first and foremost, the revenue will follow.

While hotels and travel, as examples, have boasted “positive financial results” over the years through their different approaches to dynamic pricing (while still trying to focus on the end-user guest experience), independent bar and restaurant brands must be careful not to create a hostile brand perception.

Why? Because many consumers view changing prices based solely on levels of demand as being unfair.

Being unfair will certainly create a negative guest experience and/or brand perception. The hotel and airline industries have been able to navigate this perception successfully by offering alternatives. For example, different rooms and amenities or less convenient flight times at different price points. Essentially, companies in lodging and travel provide options and flexibility before customers make the choice to spend.

What about rideshare and surge pricing as another example? Many of you reading this have likely been burned by surge pricing as a consumer, which can be by definition a form of dynamic pricing.

Have you ever tried to book a rideshare during peak periods in a major market? What would normally be a $20 ride is suddenly $40 to $60 (or more) because of their dynamic pricing model.

What did I do in this situation during a recent business trip? I walked another 25 feet up to the cab staging area of the airport and got my ride for $25.

The end results? I had a negative customer experience with the rideshare company, first and foremost. Additionally, that negative experience drove me to the competition. The key here is I was given a choice.

Now let’s switch that scenario to a restaurant.

The Restaurant Scenario

You book a table at your favorite restaurant and order that incredible steak dinner you always enjoy. But instead of it being $50 like you have grown accustomed to, it is now $75 or more. How are you as a consumer going to feel about this new price just because you visited your favorite spot during a “peak period” on a Saturday night? Were you given a choice before the spend?

Of course, this can work in the opposite direction: ordering a meal during a non-peak time and getting it for a cheaper price, thereby getting a discount.

But should we be confusing our customers based on their chosen, convenient time to visit your restaurant or bar? Should you also focus on “discounting” to drive people to your business?

I have even seen recommendations for offering an increased price for peak period but using what was the previous regular price during the non-peak times, labeling the normal price a “discount.”

Should we be framing our regular priced menu options as a discount just so we can charge and make more during a peak period? Is this being fair and ethical to your loyal customers? Should we be going down this road?

With this model (and the phrase “dynamic pricing”), which is based on demand, it is very easy to see how you can quickly confuse or alienate your loyal guests. Unless the industry in its entirety migrates over to this demand-driven model, a similar scenario as outlined above can play out for you and your guests.

Without extremely strong but transparent communication systems in place (which will be a challenge in itself), it is safe to assume that they will likely visit another restaurant up the street and/or provide negative feedback because they feel your pricing model is confusing or unfair.

Dynamic Menus

The phrase that is much more simplified and will be more easily embraced by both operators and guests is “dynamic menu.”

So, what’s the difference?

While it is still by definition “the (fully or partially) automated adjustment of prices,” it is not based on demand throughout the day. Rather, pricing is based on simple supply chain and operational cost adjustments.

According to the National Restaurant Association:

  • 95 percent of restaurants have recently had significant supply delays or shortages of key food items; and
  • 75 percent of restaurants have had to change their menu because of supply chain issues.

With a more dynamic menu, you can adjust pricing to suit those changes accordingly, through the lens of real-time ingredient cost, labor costs, productivity levels, and even the availability of certain menu items.

This simply means that the incredible steak dinner a guest has always enjoyed at your place is perhaps now $53 instead of $50 because the price of beef went up the past week or month. This ensures that as an operator, you will have a minimal gap between your theoretical and actual food costs.

Again, this should work both ways, meaning if the price of beef has gone down, so too should the price.

This means that your guests are paying an accurate value for each item, based on your intended sales mix and contributions, without a loss in margin on your end or negative experience on the guest end.

This means that everything on your menu is “market price” or MP. Where have we seen that before…?

Market Price

We all know restaurant menus will commonly deduct a price and replace it with the term “market price” (often abbreviated to “MP”). This means the price of the menu item depends on the market price of the ingredients, and the price is available upon request. It has been used for years for seafood in particular—most notably lobsters and oysters—in many restaurants.

Therefore, this pricing model is not entirely new. So, why should it stop at just high-priced seafood?

The reason many operators would use the abbreviated MP was because they did not want to reprint menus every single day as the prices fluctuated greatly.

As we move towards digitally savvy restaurant operations, implementing integrated technology and menus, we can begin to find alternatives and ensure that we are actively pricing our menus accordingly based on the market (and overhead costs) to strengthen top- and bottom-line results.

Knowledge is Power

To make a dynamic menu work, whether you’re a QSR, sports bar, casual-dining or fine-dining concept, or any other category of bar or restaurant, you need to know your target customers, provide a targeted menu, and know your numbers (the data).

Curating and engineering a menu should be a simplified process. To be honest, this should have been streamlined prior to the pandemic.

Your menu should be developed based on data, consumer sentiment, regional ingredients, regional suppliers, and local talent within the confines of the overall concept. Food and beverage programs should be developed with thought, care, speed, precision, execution, and last-but-not-least: consistent profits in mind.

Keeping menus “small” (10 to 12 or even 15 items at maximum) will be the new threshold of a successful, more profitable operation. This size of menu will allow bars and kitchens to operate more efficiently; keep inventory costs both low and controlled; control training and labor costs; and provide guests with the most flavorful and exciting items that they truly want.

Be Nimble

You also want to provide menu flexibility by continually reviewing your supply chain. Maintaining a strong personal relationship with your suppliers is imperative. You must also review your costs and inventory on a daily and weekly basis to make dynamic menus work.

To keep inventory, purchase orders, and potential waste to a minimum, it will be crucial that you to ensure your menu is small but innovative. The only way to accomplish this is through effective data management.

However, the new challenge for many independent brands is making data timely, relevant, digestible, and actionable for operators and their leadership teams. The ability to collect, interpret, and effectively react to key datapoints is going to be crucial for anyone who wants to implement a dynamic menu, and for moving forward in general.

At the end of the day, profiting from a dynamic menu is all about making decisions based on accurate cost and productivity data. Of course, there’s only one way to obtain data: embrace technology and create strategic clarity around it.

The Tech Stack

The key to successfully implementing a dynamic menu is integrating a stack of technology that provides real-time data and trend reports.

From point-of-sale software and reports to accounting software, inventory and recipe management software, and invoice management software or a suite that includes all of the above that’s integrated and working together, you can obtain real-time data to adjust your pricing based on real-time ingredient and productivity costs on a daily or weekly basis.

You want seamless movement of data from front- to back-of-house that will position you to make decisions and have a more complete picture of inventory stock levels, costs, and ordering needs, plus itemized sales, contribution margins, and productivity levels.

In Summary

While we must find ways to be innovative, potentially price-gouging our guests during peak periods and discounting during slow periods is not the way for this industry to recuperate and build loyal customers.

Building a strong brand through the creation of memorable experiences and by building connection with your community along with strategic planning, effective marketing, the elements of culture, and efficient operations, you can build sustainable revenue and profit channels.

By following a more dynamic menu approach within your operations, you can still maintain transparency with your guests with less challenging communication methods, remain a fair and well-respected brand within your community, and improve your margins by three to five percent or more with the right people and systems in place.

That sounds like a pretty good deal to me. The question here remains: Are you Team Dynamic Pricing or Team Dynamic Menus?

Image: Joe Neric on Unsplash

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