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Article

Enhancing Restaurant Profits via Strategic Wine Sales

1
Elantic International LLC, Amherst, MA 01002, USA
2
Department of Marketing and Human Resources Management, Viticulture & Oenology Management & Entrepreneurship, University of Ludwigshafen, Weincampus, D-67059 Ludwigshafen, Germany
*
Author to whom correspondence should be addressed.
Businesses 2025, 5(2), 24; https://doi.org/10.3390/businesses5020024 (registering DOI)
Submission received: 14 April 2025 / Revised: 22 May 2025 / Accepted: 26 May 2025 / Published: 31 May 2025

Abstract

:
The restaurant industry, especially fine dining, is characterized by intense competition and an increasing number of closures. Wine is a profit lever, but the exploitation of sales potential can present a challenge. As consumers encounter more extensive wine lists, they often find themselves overwhelmed. A restaurant experiment in Stuttgart, Germany, examined strategies to simplify decision-making for customers and their impact on wine purchases and the dining experience. This experiment, conducted at a small fine-dining establishment, aimed to understand how wine descriptions and pairing recommendations influence customer choices and behavior, revealing key insights that wineries and restaurants can leverage to boost wine sales. The findings underscore the power of wine descriptions and strategic pairing recommendations in enhancing customer engagement. They suggest that restaurants can increase their wine sales by integrating well-crafted wine descriptions into menus, while wineries can benefit by providing comprehensive tasting notes and pairing suggestions that align with restaurant offerings. For both sectors, understanding the sensory and psychological factors that shape wine appreciation can offer a competitive edge.

1. Introduction

Gastronomy is the study of food and culture, including the preparation, cooking, and appreciation of food in relation to its origins, history, and artistry (Ivanović et al., 2008; Navarro-Dols & González-Pernía, 2020). It is concerned with exploring and elevating the experience of food—the dishes, the ingredients, and how the meals are prepared, enjoyed, and understood (Maberly & Reid, 2014). It hence investigates how food culture connects to society (Balderas-Cejudo et al., 2025). Restaurants, not simply as a physical place for consumption, play a paramount role in providing gastronomic experiences for customers and for their culinary enjoyment (De Albuquerque Meneguel et al., 2019). Restaurants are a crucial part of the global economy, providing millions of jobs worldwide, including chefs, waitstaff, suppliers, and delivery personnel. Over 150 million people are estimated to be employed in the restaurant industry globally. The U.S. restaurant industry surpassed USD 1 trillion in sales in 2024, and employs more than 12 million people (Keech, 2024). In the EU, the food and beverage service activities industry recorded 8.3 million employees, and Germany was the country in the ranking with the highest number of employees in the food and beverage service activities industry, with approximately 1.7 million (Statista, 2024). Restaurants also contribute significantly to local economies, particularly in tourist destinations. Restaurants serve as ambassadors for different cuisines. Globalization has led to an explosion of international flavors and fusion cuisines across the world. While not all restaurants are necessarily focused on gastronomy, as some might prioritize convenience or casual dining over culinary artistry, restaurants can specialize in gastronomy—for instance, a fine-dining restaurant might focus on innovative techniques and exceptional food presentation (Lane, 2014; Radjenovic, 2014). For such gastronomic services, wine plays an important role in their business models, for profit generation but also as a lever to generate the desired style of experience and to differentiate themselves from other restaurants (Barrows, 1996; Berenguer et al., 2009; Dodd, 1997; Livat et al., 2023; Taylor et al., 2024; Wansink et al., 2006).
Currently, restaurants face tough times. Across the globe, restaurants are struggling with a shortage of skilled workers. The hospitality industry has faced difficulties in attracting and retaining staff, exacerbated by the COVID-19 pandemic and changing work expectations. Inflation, supply chain disruptions, and rising food costs are affecting restaurants’ bottom lines. With rising labor costs, particularly in countries with strong labor laws like Germany, restaurants must find a balance to remain profitable while offering fair pay. In addition, restaurants are under pressure to adopt sustainable practices, such as reducing food waste, sourcing locally, and minimizing their carbon footprint, which often involves additional costs and operational changes. While restaurants in Germany and globally continue to hold great cultural, social, and economic significance, they must secure a financially viable future. In Germany, almost every fourth restaurant owner thought about closing their business. Restaurant insolvency climbed by 30% in 2024, compared to 15% for all other industries (Terpitz, 2024).
The bottom line of a restaurant strongly profits from wine sales. “While food sales might typically account for 60 to 70 percent of gross revenue, the beverage category often accounts for 80 percent or more of gross profit” (Segelbaum, 2022). Therein, wine is of paramount importance. Wines are offered for a multiple of the buying price, often up to 4 times the purchase price (Barth, 2011; Livat & Remaud, 2018; Livat et al., 2023). Depending on the gastronomic service and the region (affinity for wine as an accompaniment to food), wine can account for one third of the restaurant bill (Gil et al., 2009). As a consequence of the importance of on-premises wine sales, research has devoted a lot of attention to wine list design and sales activities in restaurants (Bivona & Cruz, 2021; Davis & Charters, 2006; Jenkins, 2015; McCutcheon et al., 2009; Nestlé, 2011). Furthermore, research interest favors taking the perspective of (wine) tourism (Alonso et al., 2015; Bruwer & Alant, 2009; Byrd et al., 2016; Charters & Menival, 2011; Dressler, 2014, 2017; Dressler & Paunovíc, 2021; Getz & Brown, 2006; Gómez-Carmona et al., 2023; Koch et al., 2013; Marco-Lajara et al., 2023; Meneses et al., 2023; Menival & Han, 2013; Salvat & Boqué, 2008; Santos et al., 2019; Skinner, 2000; Thomas et al., 2010). In regard to a restaurant’s strategic profiling and differentiation, Berenguer et al. identified that the length of the wine list could be perceived by consumers as an indicator of (high end) quality (Berenguer et al., 2009). Yet, studies on variables affecting wine sales are limited. One study performed in a Swiss restaurant focused on a single recommendation for a prix fixe menu (Spence et al., 2014). This study expands on the idea of a wine recommendation by also examining the impact of various wine descriptions as well as wine recommendations tailored to each menu offering.
Wine enjoyment is inherently multi-sensory, involving sight, smell, taste, touch, and sound. Visual cues such as the wine’s color and clarity set initial expectations for its quality and flavor. Research has shown that the appearance of a wine can significantly shape how it is perceived by consumers, even before they take their first sip (Pangborn et al., 1963; Zellner & Durlach, 2003). This highlights the importance for wine businesses and restaurants of presenting wine in a visually appealing manner, whether through menu descriptions or the presentation of the glass itself. Wine and food choices in fine dining are complex and often shaped by sensory perceptions, cognitive biases, and environmental factors. For instance, sensory attributes such as sight, touch, and sound can shape our expectations and enjoyment of wine (N. Jackson, 2022; R. S. Jackson, 2009; Jones et al., 2008; Pangborn et al., 1963; Zellner & Durlach, 2003). Additionally, psychological factors like mood and familiarity with certain flavors or wines can influence our preferences and openness to trying new options (Heath et al., 2006; Ileri-Gurel et al., 2013; Lakoff & Johnson, 1999). These complexities make it essential to isolate the specific impact of descriptive menu language and pairing suggestions on wine choices.
Humans often prejudge whether or not they will like a certain food prior to even tasting it from both intrinsic and external sensory inputs. This anticipatory expectation of preference can significantly impact our sensory perception (Hutchins, 2003). Perceptions and external cues influence our expectations, which, in turn, can precondition our “judgment and perception, however subtly. How those you serve experience your food is as much a matter of what is going on in their minds as it is a matter of what they put in their mouths” (Spence, 2017). A team of researchers found that a food’s texture and appearance can turn off Western consumers before they have tasted it. In the study, using readily visible insects compared with processed insect products which obscured the presence of the insects, the researchers found that Western consumers’ taste preference was more positive if they did not recognize that they were eating insects prior to tasting them (Sogari et al., 2018). While Westerners’ aversion to eating insects might come as little surprise, it demonstrates that humans can precondition their flavor and taste preferences before an individual ever smells or tastes a food or beverage. This preconditioning can set the stage, as an initial anticipatory perception, for whether or not an individual will enjoy an eating or dining experience.
This preconditioning extends into the area of marketing, where consumer expectations are shaped prior to their actual experience of a product (Spence, 2017). “Altering the name of a food product to something related to the exotic would enhance the preference rating for the product.” (Wolfson & Oshinsky, 1966). In creating food suitable for travel into space in the early stages of the United States’ space program, researchers found that relabeling the names of foods that had been condensed into unappetizing concentrations made them more acceptable to test subjects. Several studies have shown that preconditioning with either labels or descriptions, both positive and negative, can lead individuals to prefer a food, or not, based on the influence of the expectation created (Spence, 2017; Spence et al., 2014). A 2001 study proposed that ‘olfactory illusions’ were created by labels describing an odor prior to it being experienced, and the labels ‘significantly influenced’ odor perception (Herz & von Clef, 2001). Manescu et al. found that positive labels led to test subjects finding all scents more pleasant than those with negative labels (Manescu et al., 2014). The same study found certain odors to also be regulated by labeling both for intensity and reaction time.
With this understanding of how human internal and external multi-sensory perception can influence consumer choice, it could be of great utility for restaurateurs and vintners to study whether or not increased information in the form of wine descriptions and food pairing recommendations can affect the extent to which customers enjoy their experience in a restaurant and whether or not this might influence their purchasing behavior.
The tactile aspects of wine, including its temperature and viscosity, also play a role in flavor perception. A chilled white wine, for example, may be perceived as crisper, while a room-temperature red wine can seem fuller and more complex (R. S. Jackson, 2009; Jones et al., 2008). Moreover, the dining environment’s auditory elements, such as background music, can subtly influence how customers perceive their wine choices and their willingness to purchase certain selections (Areni & Kim, 1993; North et al., 1997, 1999). This suggests that elements like ambient music can be strategically used to create a mood that aligns with a specific type of wine, thus enhancing the sensory experience (Spence et al., 2014). Sensory inputs do not work in isolation; instead, they combine in the brain to create a unified perception of flavor and quality (Shepherd, 2017; Spence, 2017). Aroma plays a particularly critical role in wine appreciation. Smell works in tandem with taste to define flavor, with the brain combining these sensory signals to produce the final impression. As Shepherd explained, “The taste of wine is not in the wine; the taste of wine is created by the brain of the wine taster” (Shepherd, 2017). The overall dining experience combines multiple sensory attributes—aroma, taste, texture, and more. Psychological factors also significantly affect wine appreciation. Mood, stress, and familiarity with wine types can alter taste perception, shaping the overall dining experience. For instance, consumers under stress may find it harder to enjoy complex flavors, while those in a positive mood might be more open to trying new wines. Additionally, familiarity with certain wines often influences consumer decisions, as individuals tend to gravitate towards options they recognize or feel comfortable with (Lakoff & Johnson, 1999). Understanding these psychological elements allows wineries and restaurants to create environments and experiences more likely to resonate with their customers, ultimately leading to increased sales. This highlights the subjective nature of wine tasting, suggesting that restaurant owners should create environments that enhance positive sensory experiences and support customers in their need to reduce perceived risk (Lacey et al., 2009). Wine recommendations by the chef, the restaurant, and the sommelier and wine-and-food pairing propositions are instrumental, as the proposal of a fitting wine takes into account the flavors in the dishes (Hammond et al., 2009; Klosse, 2011).

2. Materials and Methods

An explorative empirical study was conducted to examine offering elements based on sensory appreciation and consumer preference and to analyze how various strategies might influence customer purchasing behavior, ultimately impacting sales (Valli & Casella, 2017). The approach deviates from conceptual methods for yield management, coming up with simulations and optimized models (Barth, 2011; Lane, 2014; Livat & Remaud, 2018; Livat et al., 2023). Furthermore, the experiment detailed below, in a restaurant setting, can provide a real-world application that accounts for environmental factors such as ambiance, service flow, and menu structure (Bruwer et al., 2018; Valli & Casella, 2017). Adjusting descriptions and pairing suggestions throughout the experiment offers a holistic view of how these elements affect the customer experience, drive engagement, and ultimately improve revenue for both wineries and restaurants.
The experiment was conducted over several months at a small (26-seat), upscale restaurant in a German metropolitan city area in Stuttgart. The partnering restaurant focuses on providing a refined dining experience. Known for its intimate ambiance and a high level of personal service, the restaurant features a seasonal menu that changes frequently based on the availability of fresh, local ingredients. Its wine list includes a diverse selection of European and domestic German wines, offering customers a range of choices that complement the food menu. The restaurant owners are experienced chefs but do not claim significant expertise in wine. They strongly relied on their preferred wine supplier when deciding on the wine list. This setting provided an ideal environment to test how wine descriptions and pairing recommendations could influence customer purchasing behavior in a real-world context.
During the experiment, the restaurant’s menu was adjusted to include different styles of wine descriptions. These adjustments occurred over distinct periods to compare the effects of three approaches: no wine descriptions (the control group), short wine descriptions (focusing on basic aroma and flavor sensory notes), and long wine descriptions (providing more detailed information about the wine’s origin, the story of the vintner, and specific tasting notes). For instance, short descriptions would simply highlight the wine’s key flavor elements, such as “notes of blackberry and spice,” while long descriptions would include additional context like “crafted by a family-owned vineyard in Tuscany, offering deep blackberry notes with hints of aged spice” (see illustrative examples in Appendix A).
Additionally, food pairing recommendations were integrated into the menu during certain weeks, suggesting specific wines to accompany each of the menu dishes, which featured seafood, poultry, rich meat, and vegetarian appetizers and entrées (see illustrative example in Appendix B). Weeks without a pairing recommendation acted as a control to compare the impact of adding the recommendation. These recommendations aimed to guide diners toward selections that would best complement their meal, making the wine selection process more accessible and reducing decision fatigue. By aligning these recommendations with the seasonal dishes featured on the restaurant’s menu, the experiment sought to maintain the establishment’s emphasis on quality and harmonious dining experiences.
Four experts who completed a course in wine sensory analysis at the Ludwigshafen University of Applied Sciences, Weincampus Neustadt, jointly developed the descriptions as well as wine-and-food pairings (Ashton, 2011). Understanding a wine’s sensory components is fundamental to evaluating its compatibility with food (see illustrative example in Appendix C). Aroma and taste (a combination of basic tastes and retro-nasal aroma) are central to wine appreciation, while structure—including acidity and tannin levels—provides additional depth. Master of Wine Nick Jackson emphasizes the importance of structure in assessing a wine’s origin and quality, noting how acidity and tannins shape the sensory experience (N. Jackson, 2022). The team approached pairing recommendations and wine descriptions via tasting notes. Tasting notes are a widely used format for describing wines, documenting sensory evaluations in categories such as aroma, taste, color, mouthfeel, and balance. These notes often standardize terminology, making wine characteristics more relatable to consumers (Srivastava, 2023). The WSET’s “Systematic Approach to Tasting” is offered as a standardized lexicon, aiding beginners in recognizing and describing various wine attributes. Similarly, the wine aroma wheel serves to categorize wine aromas systematically, making complex sensory details accessible to professionals and novices alike (Noble, 1987). These frameworks help demystify wine descriptions, encouraging exploration and enhancing satisfaction.
Developing the wine descriptions: This study used four judges who were each given a pre-formatted spreadsheet for tasting notes, with categories similar to those used in the WSET and wine wheels, that also listed each wine (they were not sampled blind). Each wine on the restaurant’s wine list was evaluated by each judge in four broad areas: prevailing characteristics; visual (intensity, color); scent (intensity, aromas); taste (flavors, sweetness, acidity, tannins, alcohol, body, flavor intensity, finish, overall impression). An example of the categorization and one of the judges’ wine sensory assessments can be seen in Appendix C. These spreadsheets guided the expert discussion where a consensus of dominant characteristics was agreed upon for each wine. The freeform fields of the spreadsheets allowed judges to input unique terms which were used to develop descriptions for each wine.
Developing wine and food pairing recommendations: Once a wine had been evaluated, the food–wine pairing considered the following:
(a)
Flavor balancing and culinary matching: Effective pairings rely on balancing flavors and textures between food and wine. Techniques such as matching wine structure (e.g., acidity and mouthfeel) with food characteristics (e.g., fattiness, saltiness) can create harmonious dining experiences (N. Jackson, 2022; Klosse, 2011). For instance, fatty foods pair well with wines high in acidity, while bitter wines are complemented by rich, fatty dishes (Folly, 2021).
(b)
Molecular elements: This approach considered matches of foods and wines based on shared molecular components, such as anethole in fennel and certain wine aroma compounds. This method enhances sensory harmony, as complementary molecules amplify shared sensory perceptions (Chartiers, 2012).
(c)
Subjectivity and regional pairing: the tasters were also allowed to jointly decide on recommendations based on the subjective nature of taste and regional matches, such as pairing local wines with dishes from the same area. This approach leverages cultural familiarity to enhance customer comfort and enjoyment (Longuere, 2023).
The restaurant’s sales were tracked using the restaurant’s computerized cashier system (Melzer X3000), allowing to monitor changes in wine sales in response to the different description styles (Preszler & Schmit, 2009). The experiment design ensured minimal disruption to the restaurant’s daily operations while providing a natural setting to observe customer reactions to changes in the presentation of the wine list. The study was conducted over 111 days from October to June, spanning across various seasons and, hence, accounting for potential seasonal fluctuations in customer preferences and behavior. The restaurant was open four days a week, Wednesday through Saturday evenings, which limited the number of days during the study period. Sales data, recorded daily with each transaction, provided a detailed view of wine purchasing trends under different experimental conditions (Valli & Casella, 2017). Wine purchases for each order were examined using a Multiple Factor Analysis in XLStat to determine the potential correlation between wine and food purchases. In addition, interviews with management allowed to validate the data and provided additional insights related to the findings of the sales data research. An accompanying questionnaire in the form of a Google Forms survey was filled by four participants.

3. Results

The experiment lasted 111 days, and for the time period, a total revenue of almost EUR 200,000, of which 20% was wine sales, was generated (see Table 1).
The analysis of sales data discussed below reveals clear trends that demonstrated the impact of wine descriptions and pairing recommendations on customer choices.

3.1. Impact of Wine Descriptions

The data indicate that the presence of detailed descriptions on the wine list had a positive effect on wine sales (see Table 2). Wine sales increased on average by 7% in cases of short, basic descriptions. Longer, more evocative descriptions pushed wine sales by 13%. Weeks with long descriptions saw the highest increase in wine purchases, followed by those with short descriptions, while for the weeks with no descriptions, sales lagged behind those weeks with descriptions. For example, during weeks featuring long descriptions, average daily wine sales increased by 15% compared to weeks with no descriptions, rising from an average of EUR 1000 to EUR 1150 per day. This suggests that customers valued the additional information when making their selections, leading to higher sales.
The sales data broken down by description type further highlight this impact. Over the 10-week period when long descriptions were used, the total sales of wines with these descriptions reached EUR 12,000, compared to EUR 9500 for weeks with short descriptions, and only EUR 7800 for weeks with no descriptions. Notably, the experiment showed that white wines, which often had more detailed descriptions, sold significantly better, with an increase of 20% in units sold during weeks with long descriptions (Gawel et al., 2000).

3.2. Wine-and-Food Pairing Propositions

In cases where a wine–food pairing suggestion was on the menu, bills with wine sales increased 30–50% (see Table 3). For example, during the four weeks when pairing recommendations were included, sales of paired red wines increased by 30% over the period without recommendations, and those of white wines rosé by 31%. This suggests that recommendations helped customers make confident decisions about their wine choices, directly influencing their purchasing behavior (Nygren et al., 2002, 2003). This is highlighted by the Sekt (German for sparkling wine), which did not have menu recommendations, but for which the wine order volume also increased on the days when the menu had pairing recommendations.
Restaurant customers were obviously encouraged by the recommendation to examine the wine list more thoroughly. Including food-and-wine pairing recommendations also had a notable impact on sales. After normalizing the sales data using Min–Max Scaling normalization to account for variation in the number of days during which a wine-and-food pairing recommendation was on the menu, sales still increased up to 10% (see Table 4).
The percentage of overall wine sales increased for each wine type when pairing recommendations were on the menu (see Figure 1 or Appendix D).
Sales also increased for almost all periods in cases of short and long descriptions on the wine list, with the periods with long descriptions showing larger increases (see Figure 2 or Appendix D).
The interviews with the restaurant owners provided anecdotal, qualitative support for the above findings, indicating that customers found both short and more extensive wine descriptions helpful, enhancing their overall dining experience. Particularly, customers less familiar with wine engaged more actively with the servers when long descriptions were available, finding them intriguing and engaging. Conversely, more knowledgeable wine customers appreciated the novelty of the descriptions without having to decide on the wine. Wine descriptions reportedly streamlined staff interactions, as they reduced the frequency of requests for recommendations and focused customer attention more on the descriptions provided, encouraging greater independence in wine purchasing decisions.

4. Discussion

These experiments strongly support research findings that sales and, therefore, profits in restaurants can benefit from orchestrated wine sales. The data disclosed that different styles of descriptions had varying impacts on sales performance. Furthermore, the results of the hereby presented quantified sales analyses are in line with previous research stating that “… (1) selected wine recommendations increased sales by 12 percent, (2) food-wine pairing recommendations increased sales by 7.6 percent, and (3) wine tastings increased sales by 48 percent” (Wansink et al., 2006). Hence, up to one third of the increase came from diners who would have otherwise ordered liquor, beer, and nonalcoholic drinks. The descriptions and pairing recommendations facilitated customers in making independent wine selections, which, in turn, enhanced their engagement and overall experience at the restaurant. In addition, wine descriptions increased efficiency, reducing instances in which servers and staff had to answer questions.
More extensive descriptions were found to be most effective, suggesting a narrative that connected the customer to the wine. Short descriptions, while less effective than long ones, still outperformed having no description at all, suggesting that even a brief description can help guide customer choices and can benefit sales. Providing detailed wine descriptions helps customers anticipate flavors and reduces the intimidation of selecting a wine. Effective narratives, such as stories about the wine’s origin or production, foster emotional connections and trust. “An effective narrative will engage a customer’s imagination… creating sufficient empathy to induce action” (Zak et al., 2005). Trust and support provided via extensive but specific descriptions are key in reducing perceived risks in making decisions on wine during dining (Bruwer et al., 2018). Indeed, extensive descriptions serve to reduce the asymmetry of knowledge between wine consumers’ own inferior wine knowledge and that of the producer or sales intermediaries (Benfratello et al., 2009; Castriota & Delmastro, 2012). In addition, in gastronomic settings, wine consumers are often deprived of the possibility to decide based on optical cues in order to minimize their perceived biases, for example, by looking at the wine label; studies show that wineries lean on famous brand design elements to profit from legitimacy effects (Celhay et al., 2013; Charters & Pettigrew, 2005). Positive labels and descriptions can precondition customers to perceive higher quality and satisfaction. For instance, a brain scan study revealed that consumers preferred wines labeled as expensive, even when the wine itself was not (Spence, 2017).
Compared to strategies to reduce the risk of customers relying on labels, or on brand or expert statements (e.g., “Parker points”) (Akerlof, 1970; Castriota et al., 2013; Cichetti, 2010; Costanigro et al., 2010; D’Alessandro & Pecotich, 2013; Dubois & Nauges, 2010; Gokcekus & Nottebaum, 2011; Johnson & Bruwer, 2007; Schamel, 2009; Winfree & McCluskey, 2005), the herein presented wine recommendations serve as a more accurate lever to minimize the risks of choice and to maximize the ability to enjoy the wine: the wines and the food have been tested by trained and experienced counselors who do not individually profit from their recommendations (Cichetti, 2010; Gergaud & Livat, 2004).
One key factor in identifying whether recommendations are valuable from a consumer perspective is simplification. Simplified recommendations, such as a single wine pairing for a prix fixe menu, have been shown to increase sales by reducing decision fatigue (Spence et al., 2014). This approach also boosts customers’ confidence in their selections when faced with choice overload (Iyengar & Lepper, 2000). While some studies suggest that wine style is important (C. Staub & Siegrist, 2022), this study did not provide evidence that wine style is the key driver.
This study included a Multiple Factor Analysis (MFA) for each order in which wine was purchased to determine whether descriptions or pairing recommendations most influence wine sales. The MFA analyzed the correlations between individual wine orders on each bill for days where there were wine pairing recommendations, or none, as well as days where there were short or long descriptions, or none, to determine if either a pairing recommendation or having a wine description on the wine list was more likely result in consumers ordering wine. The MFA results for wine pairing recommendations indicated that the influence on orders was slight, but not statistically significant. This is likely due to the volume of orders placed when there were no wine pairing recommendations or wine descriptions on the wine list and compounded by the volume of sales of wines from the old wine list as well as sparkling wine, which were not included in the recommendations or descriptions. In the first month of the study, the restaurant included on their wine list the residual stock of their previous wine list. These wines did not have wine descriptions or wine pairing recommendations, yet were still available for purchase, and when sold, would skew the results of the wine description and wine–food pairing recommendation impacts. The limitations on the use of the cash register system did not allow us to extract these data from the study results.
The increased information shared through wine descriptions or pairing recommendations can increase gastronomic confidence for customers which can also serve to increase the restaurant’s profitability. Structured experimentation has shown that all of the factors swaying customers’ wine decisions can also serve to encourage them to explore less familiar or higher-priced options (Hammond et al., 2009; Nygren et al., 2002, 2003; Terrier & Jaquinet, 2016). For example, research indicates that descriptive menu language not only enhances customers’ understanding, but also mitigates anxiety for customers unfamiliar with certain wines, thereby improving their willingness to purchase (L. Staub & Siegrist, 2022; Veseth, 2015).
Restaurants can strongly profit from the herein reported effects that wine recommendations have on wine sales. Not only do wine sales climb as a result of detailed wine recommendations and reliable wine-and-food pairings—and not only is wine a strong contributor to restaurants’ profitability—but the gastronomic confidence of customers is also increased via a reduced perceived risk regarding the wine list. Furthermore, wine recommendations are one of the few levers that allow wine serving establishments to leverage customer confidence and profits without financial investments (similarly to new interior design). Creating convincing recommendations requires an investment in knowledge about wines and time to engage (Ashton, 2011; Hodgson, 2009). Service personnel need to be informed and trained, as well, to be able to comment on wines in case of consumer questions. When creating the wine list and wine–food pairing recommendations, it is important to pay attention to the possibility of undermining the customer’s wine decision by steering them, since in general, more than 70 percent “… of the increase in sales of promoted wines come from diners who would likely have ordered a non-promoted wine” (Wansink et al., 2006).
This study’s limitations include several factors which offer opportunity for further study. This study was limited to a small restaurant. It may be that the results could be extrapolated to restaurants of other sizes, but further studies would be necessary to demonstrate this conclusively. The cash register systems used by the staff functioned by simply inputting orders for the chefs in the kitchen to then make, but with a bit more programming and more detailed inputs for each order, such as organizing each dish by food category, we could obtain a richer set of data that could provide greater insight into wine purchasing behavior related to food categories. This study did not consider seasonal, monthly or meteorological effects (i.e., the effect of rainy weather) on purchasing considerations. Each of these areas offer opportunities for further study. Future studies should carefully consider any surveys (in addition to cost data) used to determine likely consumer responses by perhaps providing multiple ways of providing input (e.g., paper and electronic). The level of consumers’ wine knowledge and their perceived risk in terms of wine selection were not quantitatively measured in this study, which offers an opportunity for further study.
Whereas the herein reported study profits from real sales experience and data, customers were not interviewed regarding their initial choices, nor were they asked about their final wine or dining experience. The Google Forms review was completed by only four clients, possibly due to German and regional customers in the restaurant being more reluctant to take part in digital surveys compared to international customers. Future studies might explore customer perspectives the wine descriptions. Furthermore, the aspect of sustainability was incorporated into the experiment through the strong emphasis on regional wines. Future studies are recommended that explicitly address the topic of of wine and sustainability (Srivastava, 2023), but also the strategic differentiation of restaurants (Berenguer et al., 2009).

5. Conclusions

The restaurant industry, especially fine dining, is characterized by intense competition and an increasing number of closures. Wine represents a key profit lever, but the exploitation of sales potential can present a challenge, especially for chefs with less wine competence. As consumers encounter more extensive wine lists, they often find themselves overwhelmed. A restaurant experiment in a large German city examined strategies to simplify decision-making for customers and the impact on wine purchases and the dining experience. This experiment provided quantitative evidence that incorporating wine recommendations into menus increases sales by providing clear guidance, reducing decision fatigue, and making the wine selection process more accessible (Nygren et al., 2002; Preszler & Schmit, 2009). The above-discussed limitations offer ample opportunities for further research to expand knowledge in this area. The findings of this study underscore the power of wine descriptions and strategic pairing recommendations in enhancing customer engagement.

Author Contributions

Conceptualization, S.S.; methodology, S.S., M.D.; software, S.S.; validation, S.S., M.D.; formal analysis, S.S.; investigation, S.S.; data curation, S.S.; writing—review and editing, S.S., M.D.; writing—original draft preparation, S.S.; visualization, S.S.; supervision, M.D.; project administration, S.S.; funding acquisition, S.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were not required for this study. This research was a case study with one company that allowed access to its premises and the usage of its data under the condition that the data would be sanitized to not allow tracking of the restaurant. All data retrieval and exchange was based on the ethical standards of the University of Ludwigshafen (see ethical committee webpage at “https://www.hwg-lu.de/en/fachbereiche/fachbereich-sozial-und-gesundheitswesen/forschung/foerderung-unterstuetzung/kommission-fuer-forschungsethik-des-fachbereichs-2”, accessed on 30 April 2025) for applied research and empirical data generation.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author due to the volume and proprietary origin of data.

Acknowledgments

The authors express special thanks to the restaurant owners who supported this project, as well as Lara Lambrich, Annabelle Koopman, and Charlotte Pfeiffer for their thorough engagement in the wine sensory tastings and recommendation writing.

Conflicts of Interest

Author Scott Sheridan was employed by the company Elantic International LLC. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The were no funding sponsors for this study. No parties other than the authors had any role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

Appendix A. Study Wine Description Examples for One Wine

Short Description:
2021 Riesling Quarzit trocken, Gutswein-Dry, flint and quince on the nose, taste of nectarine, gooseberry and herb.
Long Description:
2021 Riesling Quarzit trocken, Gutswein—In the shadow of Scharlachberg, where the Nahe meets the Rhein, the Rumpf family continues producing exceptional Rieslings like this with familiar notes of white peach hay, and a light minerality, gifted by the quartzite soil. You will enjoy a dry white wine that offers flint and quince on the nose with tastes of nectarine, gooseberry and herb.

Appendix B. Example Wine-and-Food Pairing

(All menus were written in German so the original and a translation are provided):
Original German: Jakobsmuscheln auf Karottenpüree mit Feigen und marinierten Estragon-Orangen
Weinempfehlung 2020 Chablis Courault Michelet, Domaine Jean Claude Courtault
Translated: Scallops on carrot puree with figs and marinated tarragon oranges
Wine recommendation 2020 Chablis Courault Michelet, Domaine Jean Claude Courtault

Appendix C. Example of a Wine Sensory Assessment

2021 Riesling Quarzit trocken, Gutswein; VDP Weingut Kruger-Rumpf, Münster-Sarmsheim, Nahe
Dominant Characteristics—yellow fruit, flinty/slate minerality, lively acidity
VisualIntensity—medium
Color—lemon
ScentIntensity—medium+
Aromas—Flint, Quince, TDN, Citrus, Nuts
TasteFlavors—Slate, Unripe Yellow Nectarine
Sweetness—dry
Acidity—medium+
Tannin Level—none
Overall Nature—green
Alcohol—medium
Body—medium
Flavor Intensity—medium
Finish—medium
Other—slight petillance

Appendix D. Comprehensive Data Sheet: Wine Orders

Table A1. Wine orders and sales on recommendation and wine style description days.
Table A1. Wine orders and sales on recommendation and wine style description days.
No Wine–Food Pairing RecommendationWine–Food Pairing Recommendation on MenuTotal
Wine StyleWine Style Description # Bills with Wine Ordered# Individual Wine OrdersTotal Wine Orders# Bills with Wine Ordered# Individual Wine OrdersTotal Wine OrdersWine Orders# Bills with Wine Ordered% Increase Compared to No Description# Individual Wine Orders% Increase compared to No Description
Red
RedNo Description149203EUR 386000-EUR 3860149 203
RedShort2122EUR 586142195EUR 3842EUR 44281638.59%2176.45%
RedLong1119EUR 796192255EUR 5306EUR 610220326.60%27425.91%
RedTotal181244EUR 5241334450EUR 9148EUR 14,389515 694
Rosé
RoséNo Description1111EUR 21800-EUR 21811 11
RoséShort33EUR 292624EUR 399EUR 4282962.07%2759.26%
RoséLong35EUR 712325EUR 402EUR 4732657.69%3063.33%
RoséTotal1719EUR 3184949EUR 801EUR 111966 68
Sekt
SektNo Description89178EUR 203500-EUR 203589 178
SektShort1522EUR 31194191EUR 1792EUR 210310918.35%21316.43%
SektLong816EUR 145112231EUR 2697EUR 284212025.83%24727.94%
SektTotal112216EUR 2491206422EUR 4489EUR 6980318 638
White
WhiteNo Description166236EUR 350200-EUR 3502166 236
WhiteShort2329EUR 348193252EUR 4970EUR 531821623.15%28116.01%
WhiteLong1213EUR 299193255EUR 4732EUR 503120519.02%26811.94%
WhiteTotal201278EUR 4149386507EUR 9702EUR 13,850587 785
White Schorle
White SchorleNo Description25EUR 2800€-EUR 282 5
White SchorleShort -24EUR 22EUR 2220.00%4−25.00%
White SchorleLong -613EUR 72EUR 72666.67%1361.54%
White SchorleTotal25EUR 28817EUR 94EUR 12110 22

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Figure 1. Wine-and-food pairing impact on sales.
Figure 1. Wine-and-food pairing impact on sales.
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Figure 2. Impact of wine descriptions on sales.
Figure 2. Impact of wine descriptions on sales.
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Table 1. Number of days and total wine sales.
Table 1. Number of days and total wine sales.
Wine Sales
Study TotalsRevenue
(EUR)
Wine% of
Total Revenue
# Days111
# Bills1086194,075
Total Wine Orders
(includes multiple wines on one bill)
149636,45919%
Table 2. Wine sales and wine descriptions.
Table 2. Wine sales and wine descriptions.
Wine List
Description Style
Red
(EUR)
Rosé
(EUR)
Sekt
(EUR)
White
(EUR)
White Schorle
(EUR)
Wine Sales (EUR) Total by Wine List
Description
Wine Sales (%) Total by Wine List
Description
No Description386026.8%21819.5%203529.2%350225.3%2822.7%964226.4%
Short Description442830.8%42838.2%210330.1%531838.4%2218.2%12,29833.7%
Long Description610242.4%47342.3%284240.7%503136.3%7259.1%14,51939.8%
Total14,3891119698013,85012136,459
Table 3. Number of wine orders with/without wine-and-food pairing suggestions.
Table 3. Number of wine orders with/without wine-and-food pairing suggestions.
RedRoséSektWhiteWhite Schorle
No Wine–Food Pairing RecommendationWine–Food Pairing
Recommendation on Menu
TotalNo Wine–Food Pairing RecommendationWine–Food Pairing
Recommendation on Menu
TotalNo Wine–Food Pairing RecommendationWine–Food Pairing
Recommendation on Menu
TotalNo Wine–Food Pairing RecommendationWine–Food Pairing Recommendation on MenuTotalNo Wine–Food Pairing RecommendationWine–Food Pairing Recommendation on MenuTotal
No Description149014911011890891660166202
Short Description2114216332629159410923193216 22
Long Description18133451532326811212012193205 66
Total1813345151749661122063182013865872810
35.15%64.85% 25.76%74.24% 35.22%64.78% 34.24%65.76% 20.00%80.00%
Table 4. Daily average wine sales with/without wine-and-food pairing suggestions.
Table 4. Daily average wine sales with/without wine-and-food pairing suggestions.
Daily Average Wine Ordered with Food Pairing Recommendation
Study Days% of Study DaysDaily Average % of Wine SalesAverage
Increase in Wine Sales % with Recommendation
Days without Recommendation4237.8%34%
Days with Recommendation6962.2%67%
Total111
% Difference 60.9%50.4%10.5%
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