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Micro-Degree Hospitality

Food and Beverage Production Management: Industry Report

United States restaurant and food service operations, with Canadian and global manufacturing context

  • Primarily United States (restaurant and food service operations), with supporting Canadian and global context for manufacturing, risk and food waste
  • Data period: Latest available data
  • 10 min read
  • 12 sources
  • Updated Oct 2026
  • Restaurant leaders reporting rising staff expenses 88percent of respondents Observed Not stated (likely United States), Latest available survey [12]
  • Senior decision-makers who feel in control of key risks 62percent of organizations surveyed Observed Global, Latest survey, compared with an earlier survey [4]

Summary

This report covers food and beverage production management in United States restaurant and food service operations. Canadian manufacturing and global risk data are used as supporting context 124. The latest available evidence points to cost pressure more than volume growth. Canadian food and beverage manufacturing sales are forecast to rise slightly while volumes fall, so price is doing most of the work 1. In United States restaurants, wages fell to 28.8 percent of sales as sales per employee outpaced wages 7. Even so, surveys show most operators face rising staff and food costs 126. Principal risks include input inflation, labor cost overruns, food waste and weak control of operating risks 49. The outlook favors operators that measure production costs, reduce waste and invest in traceability. Core indicators such as occupancy, covers, average check and seasonality are not available in the verified pack, so this report does not estimate them.

Key findings

  1. 1

    Price, not volume, is driving manufacturing sales

    Canadian beverage manufacturing sales rose 0.6 percent to $15.8 billion, driven entirely by higher selling prices 2. Food and beverage manufacturing volumes are forecast to fall 0.7 percent while sales rise 0.8 percent 1. This is a manufacturing finding and is not a direct measure of restaurant production.

    Confidence: Medium
  2. 2

    Restaurant labor productivity improved in the latest period

    Wages fell from 32.3 percent of sales to 28.8 percent of sales as sales per employee rose 66 percent and wages rose 52 percent 7. The figures come from a third-party calculation using government datasets, not a direct official table.

    Confidence: Medium
  3. 3

    Input and staffing cost pressure is widespread among operators

    88 percent of surveyed restaurant leaders reported rising staff expenses, and 86 percent reported higher food costs 12. In a separate survey, 80 percent of food business owners said rising food and ingredient costs hurt profitability 5. These are vendor and association surveys with different samples.

    Confidence: Medium
  4. 4

    Labor cost targets are often missed

    Only about 36 percent of surveyed restaurants hit their labor cost targets, while 44 percent spent more than planned 6. The sample was 511 restaurant professionals in United States, collected in a short February window.

    Confidence: Medium
  5. 5

    Operators report weak control of key risks, and waste figures are unverified

    Only 62 percent of senior decision-makers in a global survey, including restaurant and food service respondents, felt in control of key risks, down from 75 percent in the earlier survey 4. Commercial kitchens are estimated to waste 4 to 10 percent of purchased food 9, but this is a vendor claim with unclear methodology.

    Confidence: Qualitative

1Industry definition and scope

This report defines the field as the planning, costing, purchasing, preparation, quality control and waste management of food and beverages in commercial kitchens, central production units and beverage service. It covers restaurants, cafes, caterers and other food service operators. Where restaurant data is missing, the report draws on manufacturing sources 32, and it labels them as such.

Geography is primarily the United States. Canadian industry association data 12 and a global risk survey 4 are used only as context. The reporting period is the latest available data. Sources cover different calendar windows and survey dates, so their figures are not strictly comparable.

Terminology differs across sources. In restaurant benchmarks, labor cost usually means wages 7, and prime cost combines food and labor costs 8. Manufacturing sources use sales to mean revenue for a different sector scope, so this report keeps each term as published and does not merge them.

Scope was set by the course subject and by the sources that were available. Restaurant-specific market size data were not found, so manufacturing data are shown only as context.

Assumptions behind these figures

  • Restaurant labor cost is treated as wages only, following the calculation in S7.

2Market size, structure and value chain

Canadian beverage manufacturing sales rose 0.6 percent to $15.8 billion, driven entirely by higher selling prices 2. The sector includes more than 2,800 establishments, and over 95 percent employ fewer than 100 workers 2. This describes manufacturing scale. It does not measure United States restaurant or catering production.

Equipment spending points to upgrade activity. The United States material handling and conveyance equipment market for food and beverage was valued at $1.07 billion, up from $1.04 billion in the earlier period 3. New equipment orders are outpacing new facility construction, which suggests investment in existing lines rather than new sites 3.

The pack does not give a verified total market size for United States restaurant or catering food production. Restaurant sales totals, occupancy and average check data were not found.

Our interpretation: the value chain runs from growers and manufacturers, through distributors and packaging suppliers, to operators who plan production, prepare food and serve it. Packaging is identified as a key cost risk for beverage manufacturers 2. Operators control menu design, purchasing, labor scheduling and waste, which together shape most of the controllable cost base 79.

Revenue models are not quantified in the pack. The sources give no verified split between dine-in, takeout, delivery and catering revenue.

Market figures are from manufacturing and equipment sources and are not restaurant revenue. No market share or concentration data were available in the pack.

Assumptions behind these figures

  • The value chain description is the writer's interpretation of the cited sources, not a finding stated by them.

3Customers, demand and adoption

The pack contains no verified demand measure for restaurant covers, visit frequency, repeat visits or booking mix. Customer ratings and online review metrics were not found, so customer demand is described only through operator surveys.

Operators are the buyers of production inputs and systems. In a survey of food business owners, 80 percent said rising food and ingredient costs negatively affected profitability 5. In the same source, only 48.5 percent of surveyed caterers planned to expand operations in the coming period, and 60.2 percent cited rising ingredient costs as their biggest challenge 5. The sample is drawn from the association's policyholders and its geography is not fully stated, so these figures should be read as indicative only.

Staffing is another major demand driver. Restaurant leaders reported rising staff expenses at high rates 12, and only about 36 percent of restaurants hit labor cost targets 6. Food inflation ranked as the primary challenge for 52 percent of respondents in another survey, ahead of labor 6.

Our interpretation: purchasing criteria are shifting toward cost predictability, supplier reliability and traceability. Food safety and traceability remain critical investment priorities for manufacturers 3. The pack does not measure how operators weigh these criteria in practice.

  • Restaurant leaders reporting rising staff expenses 88percent of respondents Observed Not stated (likely United States), Latest available survey [12]

Demand indicators are survey-based. The pack does not include transaction or booking data for food service.

Assumptions behind these figures

  • Survey shares are not additive, because each survey uses a different sample and timing.

4Competitive landscape and key players

The pack does not report the split between independent operators and chains in food service, and it gives no verified market share data. Competitive comparison is therefore limited to the types of organizations that publish data and tools for food service production.

Survey and software publishers include 7shifts with Centiment, which surveyed 511 restaurant professionals 6, and Restaurant365, which reported results from a survey covering more than 6,200 locations 12. Both are vendor reports, so their findings may reflect the commercial interests of their providers. Calculation and benchmark providers include BoostPoint, which calculated labor ratios from government data 7, and CostLab, which publishes benchmarks on its blog with unclear methodology 8.

Industry and risk bodies are a different model. The Food and Consumer Goods Council of Canada publishes sector reports 12. The Food Liability Insurance Program publishes surveys of its policyholders 5. WTW publishes a global risk survey covering growers, processors, brewers, soft drink makers, restaurants and food service firms 4.

Waste-focused initiatives also compete for attention. The U.S. Food Waste Pact tracks unsold food rate and food efficiency rate by department for signatory food service and retail sites 10. This is a benchmarking structure. The pack does not show measured outcomes for signatories.

Our interpretation: concentration and pricing power cannot be assessed from the pack. The strongest evidence on competitive pressure comes from cost data, which shows that many operators face similar input and labor pressures 512.

  • Senior decision-makers who feel in control of key risks 62percent of organizations surveyed Observed Global, Latest survey, compared with an earlier survey [4]

Companies are compared by publication type and sample, not by revenue or share. Operator-level competitor data were not found in the pack.

Assumptions behind these figures

  • Provider types are described from their publication models, not from market data.

5Technology, operations and workforce

Labor productivity is the clearest operating measure in the pack. Sales per employee rose 66 percent while wages rose 52 percent between the earlier and latest periods, which moved the wage-to-sales ratio from 32.3 percent to 28.8 percent 7. The calculation comes from United States government data, but it is a third-party calculation and not an official table.

Benchmarks show the range that operators are often compared against. Prime cost under 65 percent of revenue is cited as an industry benchmark, and full-service casual dining labor is commonly benchmarked at 30 to 35 percent of revenue 8. These are estimated benchmarks from a vendor blog with unclear methodology.

Operating investment is shifting toward upgrades. Manufacturers are prioritizing upgrades and line expansions amid economic uncertainty 3. The pack does not show how much food service operators are investing in kitchen technology, automation or production planning software.

Workforce data are limited. The pack has no verified figures for skills, turnover, training or talent supply in food service production. Our interpretation: labor productivity gains reported in S7 are the most useful workforce indicator in the pack, but they cannot show whether the gains came from automation, scheduling or menu changes.

Labor cost indicators in the pack (United States, latest available data) [7]
Measure Value Value type Source and note
Wages as share of sales, earlier period 32.3 percent Observed S7, third-party calculation from government data
Wages as share of sales, latest period 28.8 percent Observed S7, third-party calculation from government data
Prime cost benchmark (food plus labor) Under 65 percent of revenue Estimated benchmark S8, vendor blog
Casual dining labor benchmark 30 to 35 percent of revenue Estimated benchmark S8, vendor blog

Table combines observed ratios from S7 with estimated benchmarks from S8. The two sources differ in method and should not be averaged.

Assumptions behind these figures

  • Benchmarks in S8 are treated as reference points, not as targets or standards.

6Regulation, standards, risk and sustainability

Jurisdiction: the relevant binding food safety and traceability rule for United States food operations is FSMA 204, which manufacturers are preparing to meet 3. The pack does not confirm which food service operators are in scope or the exact compliance details. Restaurants should check the current federal requirements directly, since this report is not legal advice.

Binding rules and voluntary programs should be kept apart. The U.S. Food Waste Pact is a voluntary signatory initiative 10. Benchmarks such as prime cost and labor share are industry reference points and are not regulatory limits 8. The Canadian manufacturing sources describe market conditions and do not set out regulatory requirements 12.

Operational risk is a central concern. Only 62 percent of senior decision-makers in a global survey felt in control of key risks 4. Packaging, trade and regulatory pressures are flagged as risks heading into the latest period for beverage manufacturers 2.

Sustainability and food waste figures are weak in method. Commercial kitchens are estimated to waste 4 to 10 percent of food purchased before it reaches a guest 9. The United States discards nearly 60 million tons of food a year, out of a global total of 2.5 billion tons, according to a news report citing RTS 11. A United States foodservice surplus of about $104 billion is cited from ReFED 9, and restaurants are reported to spend around $162 billion a year on waste-related costs, including packaging 11. The primary ReFED and UNEP figures were not directly retrieved, so these numbers are estimates from secondary sources.

The pack does not include verified health and safety incident data, privacy or ethics data, or social indicators for food service production. These gaps should be treated as open questions, not as evidence of low risk.

Regulatory status is stated from the source descriptions only. Binding rules, proposed rules and voluntary initiatives are labeled separately in the text.

Assumptions behind these figures

  • Waste estimates are reported as secondary claims and not as verified national statistics.

7Challenges, opportunities and case examples

The main constraint in the pack is input cost. Food costs and staff expenses rose for most surveyed operators 125, and food inflation ranked above labor as the top challenge for many respondents 6. The table below sets out the reported shares. The samples differ, so the figures are not additive or directly comparable.

Opportunities include labor productivity, equipment renewal and waste reduction. The wage-to-sales ratio improved in the latest period 7. Equipment spending is focused on upgrades and line expansions 3. Department-level waste benchmarking is available through the U.S. Food Waste Pact 10.

Case examples are limited to provider and survey examples. Restaurant365 reported survey results across more than 6,200 locations 12. 7shifts with Centiment reported that only about 36 percent of restaurants hit labor cost targets 6. The Food Waste Pact tracks unsold food rate by department for signatory sites 10. Comparable operator-level case examples, such as individual restaurant groups with measured results, were not found in the pack.

Our interpretation: the strongest near-term opportunity for operators is to link labor scheduling, purchasing and waste tracking in one production cost view. The pack does not show the outcome of this approach.

Reported cost and staffing pressure in surveys (United States unless noted; samples differ) [12]
Indicator Reported value Source Sample or note
Restaurant leaders reporting rising staff expenses 88 percent S12 More than 6,200 locations; geography not stated, likely United States
Respondents reporting higher food costs 86 percent S12 Same survey as above
Respondents naming food inflation as primary challenge 52 percent S6 511 restaurant professionals, United States
Food business owners saying rising food costs hurt profit 80 percent S5 Association policyholder survey; geography not fully stated
Restaurants hitting labor cost targets 36 percent S6 511 restaurant professionals, United States

Table is limited to survey shares with stated samples. Comparable operator-level metrics such as average check or occupancy were not available.

Assumptions behind these figures

  • Shares are reported as stated by each source and are not combined into an average.

8Outlook and strategic implications

Base case for the near to medium term: manufacturing sales are expected to grow mainly through prices rather than volume 1. In restaurants, labor share has fallen from its earlier level 7, but most operators still report cost pressure 126. Expect cost management to remain the central operating task rather than volume growth.

Upside case: productivity gains from scheduling, equipment upgrades and waste reduction could keep labor and food cost ratios in the benchmark ranges 83. This depends on operators measuring their own results, which the pack does not show.

Downside case: input and packaging cost pressure persists 25, and weak risk control leaves operators exposed to shocks 4. Waste and labor overruns would then erode margins that are already tight 69.

Practical implications: operators should track prime cost, labor share and waste by department, and should check which federal traceability rules apply to their supply chain 38. Suppliers should expect buyers to press on price and reliability. Industry bodies should publish consistent restaurant-level metrics, since the pack lacks them. Lenders and investors should not rely on this report for investment decisions.

Scenarios are qualitative. No forecast for restaurant sales, covers or occupancy is available in the pack.

Assumptions behind these figures

  • Scenarios are the writer's interpretation of the cited evidence and are not forecasts from the sources, except where S1 gives a forecast for manufacturing.

9Conclusion

The latest available evidence shows a food service sector under cost pressure, with some productivity gains in labor. The most defensible takeaways are that price and input costs dominate the agenda 112, labor share has improved in the latest period 7, and waste and risk control data remain weak 49. Core operating indicators for restaurants still need better public data.

Conclusion reflects only the verified pack and the limitations listed in the methodology callout.

How this was built

The report is primarily United States focused, with Canadian and global manufacturing and risk data used as context. Figures come from the source pack only. Vendor, blog and survey sources are labeled as such. Estimates and interpretations are separated from verified observations. No restaurant occupancy, average daily rate, revenue per available room, covers, average check, repeat-visit, booking-mix, seasonality, delivery share or independent-versus-chain data were in the pack, so none are reported.

Limits to keep in mind

  • Occupancy, average daily rate, revenue per available room, covers and customer ratings were not found for food service production. These are hotel or venue measures and were not substituted.
  • Average check, repeat visits, booking channels, delivery share and independent versus chain split were not verified.
  • Seasonality data for restaurants or catering were not found.
  • No official national tables (for example, from the Bureau of Labor Statistics or Census) were retrieved directly. The labor-to-sales ratio in S7 is a third-party calculation.
  • The S7 title states 28.9 percent of sales, while its body text states 28.8 percent. This report uses 28.8 percent from the body text.
  • Food waste figures in S9 and S11 are secondary or vendor claims with unclear methodology. The primary ReFED and UNEP figures were not retrieved.

Sources

  1. 1

    Food and Beverage Report: Are higher selling prices enough to support the industry?

    FCC (Food and Consumer Goods Council of Canada) Industry association

    fcc-fac.ca
  2. 2

    Beverage manufacturing: FCC Food and Beverage Report

    FCC (Food and Consumer Goods Council of Canada) Industry association

    fcc-fac.ca
  3. 3

    The State of Food Manufacturing

    Food Engineering (reporting on the PMMI and Food Production Solutions Association Processing State of the Industry Report) News report

    foodengineeringmag.com
  4. 4

    Global Food, Beverage & Agriculture Risk Report

    WTW Vendor report

    wtwco.com
  5. 5

    Food and Beverage Industry Trends and Statistics

    Food Liability Insurance Program (FLIP) Industry association

    fliprogram.com
  6. 6

    Restaurant Workforce Report (Restaurant Labor Cost & Profitability Survey)

    7shifts with Centiment Vendor report

    7shifts.com
  7. 7

    Restaurant Labor Costs: 28.9% of Sales

    BoostPoint (calculation from BLS and Census data) Market research

    boostpoint.com
  8. 8

    Restaurant Labor Cost Percentage: Benchmarks by Type

    CostLab (vendor blog) Vendor report

    costlab.ai
  9. 9

    Restaurant Food Waste Statistics: How Much Restaurants Waste and What It Costs

    Duck-hub (blog citing UNEP and ReFED) Vendor report

    duck-hub.com
  10. 10

    U.S. Food Waste PACT Data Report

    U.S. Food Waste Pact (ReFED-linked initiative) Industry association

    refed.org
  11. 11

    24 Eye-Opening Restaurant Food Waste Statistics

    The Restaurant HQ (citing RTS and ReFED) News report

    therestauranthq.com
  12. 12

    Labor and Sales Issues Are Top Hurdles for Restaurants

    Restaurant365 (vendor survey, reported via press release) Vendor report

    restaurant365.com
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