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Mise en place in restaurants: myth vs reality, and which one fits your profile

Diego F. Parra By Diego F. Parra · Updated 2026-09-18· Operations
Mise en place in restaurants: myth vs reality, and which one fits your profile — Masterestaurant
Quick verdict

For MOST readers of this site —an independent restaurant with 20 to 40 tables running a mixed dine-in and delivery channel— the right answer is not the classic single-shift mise en place, but staggered prep in two cuts, anchored to the real order curve that Google Maps and the apps hand you. The popular version tells you to prep everything before 11:00 and hope; the staggered version holds 60 % of volume for the 11:30 cut and the remaining 40 % for a second setup at 17:00, right before the delivery peak that concentrates 38 % to 45 % of a Latin American operator's digital night revenue. Treating mise en place as a kitchen ritual is expensive: poorly sized, it pushes inventory waste to somewhere between 4 % and 9 % of food cost and, worse, drives prep time past the 22-minute mark where Rappi and Uber Eats quietly demote you in the local listing. If you are opening with fewer than 15 tables, keep the single printed run; if you operate three or more locations, you need prep driven by forecast rather than habit.

🥇 Best forA decision matrix by profile: what fits YOUR operation, and when not to pick the popular choice· 19 min read· 2026-09-18

On an ordinary Thursday at 19:40, a Peruvian restaurant in Bogotá had a spotless kitchen: everything cut since ten in the morning, labeled gastronorms, a calm brigade. It still lost 41 orders that night, because average prep time drifted to 27 minutes and Uber Eats pushed the listing below the fold for its zone. The kitchen was not the problem. The problem was a mise en place designed for 1998 dining-room service while 46 % of tickets already arrived through a screen.

That is the tension almost nobody resolves. Mise en place was born as French brigade discipline, built around two predictable peaks —lunch and dinner— with a guest already seated and willing to wait. You now have three and a half peaks: the dining-room lunch, the delivery window from 12:15 to 13:30 that apps compress artificially with promotions, dinner, and a trickle of scheduled orders no culinary-school recipe accounts for. Prepping for the old world with new demand is precisely what produces queues and waste at the same time.

There is a twist the industry digests badly: your local ranking depends on your prep. Google Business Profile weighs recent reviews and consistent hours; delivery apps weigh acceptance time, prep time and restaurant cancellation rate. All three are decided in the walk-in at eight in the morning. At Masterestaurant we have pushed this point for years because the average manager still treats mise en place as a kitchen matter, when in 2026 it is the cheapest local SEO lever available.

Side-by-side comparison

Side-by-side comparison

What most operators do (classic single-run morning prep)The better fit for THAT profile
Independent under 15 tables, 80 % dine-in, 3 to 5 staffSingle 9:00 run from the cook's memory, nothing recorded; waste measured zero times a monthKeep the single run BUT on a printed 12-line checklist with quantity and cut-off time; costs 0 USD, lands in 3 days and cuts waste from 6 % to 3.5 %
Independent 20-40 tables, mixed dine-in plus delivery, 8 to 14 staffEverything ready before 11:00, then improvised restocking during the night peakStaggered prep in two cuts (60 % at 11:30, 40 % at 17:00) tied to app history; prep time falls from 27 to 16 minutes in 4 weeks
Dark kitchen or 100 % delivery, 4 to 8 staffCopying the prep sheet of the physical restaurant the brand came fromPrep by platform SKU and time window, portioned to the gram; acceptance rate climbs above 96 % and avoids a penalty worth up to 20 % of visibility
Stalled business, 2 years open, margin under 6 %Cutting kitchen headcount to shrink payroll while prep stays identicalRe-engineer prep around the 8 dishes that drive 70 % of sales; recovers 2 to 4 margin points without touching headcount, in 6 weeks
Group of 3 or more locations, 30+ staffEach chef builds their own prep and head office audits once a quarterOne spec sheet with per-location forecast plus a weekly 20-minute audit; food cost variance across sites drops from 7 points to under 2
Opening within 90 days, team not yet hiredLeaving prep design for «once operations settle down»Write the 15 spec sheets BEFORE opening and train on them; saves 3,000 to 7,000 USD of waste in the first quarter

What is the best mise en place for a 20-to-40-table restaurant with delivery?

The best option for an independent operation with 20 to 40 tables and a mixed channel is staggered mise en place in two cuts, not a single morning run:

a base cut at 8:30 that covers dining-room demand through 15:00, and a second cut between 16:00 and 17:30 calculated against the POS sales-by-hour report. The logic is cash. If you prep at nine in the morning a product that only leaves the pass at nine at night, you load twelve hours of refrigeration, weight loss from dehydration and food-safety risk onto something you already paid for. With optimal food cost running between 28 % and 35 % according to the National Restaurant Association, every point lost to avoidable waste comes straight out of operating margin, and more than 85 % of restaurant surplus ends up in landfill or incineration according to ReFED in its U.S.

What is the best mise en place for a 20-to-40-table restaurant with delivery — in practice?

Food Waste Report 2025. The second cut adds no labor hours: it relocates them.

If more than 40 % of your tickets arrive through a screen, design your mise en place against the preparation time measured by Rappi, Uber Eats and DiDi Food, because that number decides your visibility, not your menu. The algorithms compare your real prep time against the zone average and reorder the listing accordingly; a Peruvian restaurant in Bogotá that hit a 27-minute average lost 41 orders in a single night with a spotless kitchen and everything prepped since ten. There lies the paradox almost nobody resolves: flawless mise en place by the classic manual, terrible commercial performance. The French brigade assumed two peaks with the guest already seated; you have three and a half, including the artificial 12:15 to 13:30 window that apps inflate with promotions. Cut the prep time of the six dishes carrying your delivery volume and leave the rest on base cut.

Best for managers who never opened the hourly report: the data is already paid for

Hourly forecasting suits you if today you size quantities with the intuition of your most senior cook, because the information you need is already paid for and you never download it: the POS sales-by-hour report and the delivery app dashboard. I got this wrong for years, recommending fixed production sheets by weekday, which work until the digital channel moves 46 % of tickets into windows no typical-day template ever contemplated. Build quantity against the rolling four-week average for that time slot, not against the daily total. The effect on the marginal efficiency of each prep labor hour shows up immediately, because you stop producing blind. At Masterestaurant, Diego F. Parra keeps hammering this point because the average manager treats mise en place as a kitchen matter, when in 2026 it is the cheapest local-positioning lever that exists. Three scenarios turn the double cut against you, and there the single morning run still wins.

When NOT to choose staggered mise en place?

First, a brigade of three or fewer on hot line: the second cut competes with the start of dinner service and you end up with your saucier chopping while orders land, which pushes prep time up exactly inside the window apps measure.

Second, a short menu built on long processes — six-to-eight-hour braises, ferments, cures — where no second cut exists because the product is decided before dawn. Third, operations under 15 % delivery sales with a flat dining-room flow, where the freshness gain never repays the coordination burden. Classic discipline wins in all three. And keep in mind the uncomfortable ReFED figure: nearly 70 % of foodservice surplus originates in customer plate waste, not in the walk-in cooler. Four signals tell you the scheme under evaluation will not survive its first full Friday. One: nobody can tell you how many kilos of each preparation leave the kitchen between 19:00 and 21:00 — if the answer is «it depends», there is no forecast, only habit.

Red flags when comparing two mise en place schemes

Two: gastronorms carry a production date but no cut hour, which makes auditing the real shelf life of intermediate product impossible. Three: the cold chain gets checked with a handheld thermometer twice a day, while wireless sensors read every 1 to 5 minutes according to Envigilance in its 2025 restaurant temperature monitoring report. Four: the standard recipe exists on paper but the cook produces «the usual». That fourth one is the worst, because it poisons the entire costing: against a 28 % to 35 % food cost target, producing from memory shifts you two or three points before anyone notices at month-end close. Running a hidden kitchen with no dining room changes the shape of the recommendation: single cut, but moved to the slot right before your peak rather than to the morning. More than 8,000 ghost kitchens operate in North America according to Emergen Research and Market Growth Reports in 2024, and over 70 % of them work with third-party platforms, which means your demand curve is the app's curve, one clean peak and a long valley.

Best for dark kitchens: a single cut, but a movable one

No dining-room service cushions your forecasting error, and no server suggests the special to move surplus. Whatever is left becomes waste or gets frozen and loses quality. Produce two hours ahead of the peak with 60 % of projected volume, and leave the remainder on a thirty-minute replenishment cut. This fits you if your average ticket rides on four or five rotating SKUs. Follow the chain all the way through, because that is where the discipline this scheme demands becomes obvious. The 16:30 cut slides to 17:10 because the protein supplier arrived late. By 19:00 the kitchen starts with 70 % of the mise en place ready, so the first twenty orders get built on the fly and prep time climbs from 14 to 22 minutes. The app detects the deviation against the zone average and reorders your position that same night. You lose orders, and with them the recent review that Google Business Profile weighs for your local ranking.

What would happen if the second cut slipped forty minutes on a Friday?

Next day the kitchen is spotless and the listing is still punished, because algorithms recover slowly. So the second cut is not an operational preference:

it is a fixed-hour commitment, and whoever cannot hold it should stay with the single run. Download the sales-by-hour report for the last four weeks and mark the two hours carrying the most revenue in each channel. You need no new software and no consultant: that report already sits in your POS and in the app dashboard, and 70 % of independents across the region never open it. With those two hours identified, take the six dishes representing the largest volume and calculate how much of each preparation gets consumed inside those windows. That, and nothing else, defines where your second cut goes. Cash flow is the leading cause of financial stress and closure among small businesses according to Inc., and mise en place is one of the very few places where you decide spending twelve hours in advance.

The first thing to do on Monday

That decision margin is exactly what the single morning run hands over to your supplier and to the trash. The first difference is where the number comes from. Classic prep is sized by the oldest cook's instinct; the version that works in 2026 is sized with the sales-by-time-band report your POS and your delivery dashboard already give you for free. Roughly 70 % of independent restaurants in the region never download it. Once you size by forecast instead of habit, the marginal efficiency of every prep labor-hour rises, because you stop cutting at nine in the morning what will be plated at nine at night. Second comes the timing of the cut, and this is where the local digital engine takes over. Rappi, Uber Eats and DiDi Food measure your actual prep time against the promised one; run late systematically and the system ranks you lower within your radius, so you lose impressions without ever finding out, because no notification exists to tell you.

The differences that actually move cash

A second prep cut at 17:00 is not a kitchen whim. It defends your position in a ranking that decides how many eyes see your brand that night. Third is traceability, which most operators dismiss as paperwork until they need it. With date, hour and owner on the label, food handling stops being a statement of good intentions and becomes a record you can show a health inspector, an angry reviewer or your own business partner. Worth admitting: for years I argued that in small operations the record-keeping was bureaucracy, and I was wrong. The paper costs minutes; not having it gets paid in a single one-star review that mentions food poisoning. Fourth is what the operation depends on. With prep held in memory, the restaurant depends on one person, and the day that person does not show up the service degrades visibly to the guest. With spec sheets and checklists, running the restaurant without the owner becomes possible, because the knowledge lives in a document rather than a head.

The differences that actually move cash — in practice

That is, ultimately, the only useful definition of operational maturity I know: you leave for two weeks and food cost moves less than a point.

Point by point

Criterion-by-criterion comparison

When prep is cut
A · What most operators do (classic single-run morning prep)One single run before 11:00, inherited from classic dining-room service
B · MasterestaurantTwo or three cuts anchored to the real order peak, with the second at 17:00
Verdict: Staggered wins on mixed channel: prep time falls from 27 to 16 minutes in four weeks. Under 15 tables with no delivery, the single run is still correct.
Where the quantity comes from
A · What most operators do (classic single-run morning prep)The judgment of whoever is on shift, with no history and no record
B · MasterestaurantSix weeks of sales by day and time band, cross-checked against the app dashboard
Verdict: Forecast wins outright. The data already exists and is free, and swapping instinct for history trims waste from 8 % to 4 % of food cost in most operations.
Traceability and food safety
A · What most operators do (classic single-run morning prep)Occasional labels, no hour or owner, verification by smell
B · MasterestaurantDate, hour, temperature and signature on every gastronorm
Verdict: The record wins. With one in ten people falling ill each year from contaminated food per WHO, the cost of paper is repaid by avoiding a single review that mentions food poisoning.
Dependence on people
A · What most operators do (classic single-run morning prep)Knowledge lives inside the most senior cook
B · MasterestaurantSpec sheets with gram weight, photo and timing, used as kitchen training material
Verdict: Spec sheets win, because they enable running the place without the owner. The test is simple: food cost moves less than a point when that person is out for two weeks.
Physical menu versus QR menu in the setup
A · What most operators do (classic single-run morning prep)Replacing the menu with a QR code to «save on printing» and prepping against the digital card
B · MasterestaurantKeeping the physical menu for dining-room service and using the QR as a complement for delivery, accessibility and price updates
Verdict: BOTH win, with different roles. The physical menu governs service rhythm and suggestive selling, which is what tells the kitchen what to over-prep; the QR gives you price updates and analytics. Dropping the physical menu lowers average ticket.
What gets measured at end of shift
A · What most operators do (classic single-run morning prep)Whether the kitchen «looks tidy» and whether product lasted
B · MasterestaurantApp-reported prep time, weighed waste and food cost per dish
Verdict: Measurement wins. Without weighed waste for at least fourteen consecutive days, any prep cut is a bet and any discussion with the chef is opinion.
Side-by-side comparison

The myth: mise en place is a kitchen ritualThe popular pick

  • Everything gets prepped in one morning run, because «that is how it has always been done».
  • Quantity is set by whoever is on shift, from memory, with no forecast and no history.
  • Nothing is recorded: no signed sheet, no cut-off time, no owner per station.
  • Leftovers are kept «just in case» and nobody weighs what gets dumped on Monday.
  • Delivery is served with the same prep as the dining room, as if an app order were just another plate.
  • When service collapses, the reflex is to hire someone else instead of reviewing the setup.

The reality: it is a forecasting system with a knifeMasterestaurant

  • Quantity comes from the last 6 weeks of sales by day and time band, not from a hunch.
  • Prep is cut in two or three moments, with the second cut glued to your zone's delivery peak.
  • Every station has its sheet with quantity, cut-off, temperature and the signature of whoever built it.
  • Portioning to the gram on your 8 best sellers is what holds food cost under 32 %.
  • Food safety becomes verifiable: date, hour and owner on every label.
  • The output metric is not «it looks tidy», it is the prep time the app reports back.
Side-by-side comparison

Side-by-side comparison

What most operators do (classic single-run morning prep)The better fit for THAT profile
Independent under 15 tables, 80 % dine-in, 3 to 5 staffSingle 9:00 run from the cook's memory, nothing recorded; waste measured zero times a monthKeep the single run BUT on a printed 12-line checklist with quantity and cut-off time; costs 0 USD, lands in 3 days and cuts waste from 6 % to 3.5 %
Independent 20-40 tables, mixed dine-in plus delivery, 8 to 14 staffEverything ready before 11:00, then improvised restocking during the night peakStaggered prep in two cuts (60 % at 11:30, 40 % at 17:00) tied to app history; prep time falls from 27 to 16 minutes in 4 weeks
Dark kitchen or 100 % delivery, 4 to 8 staffCopying the prep sheet of the physical restaurant the brand came fromPrep by platform SKU and time window, portioned to the gram; acceptance rate climbs above 96 % and avoids a penalty worth up to 20 % of visibility
Stalled business, 2 years open, margin under 6 %Cutting kitchen headcount to shrink payroll while prep stays identicalRe-engineer prep around the 8 dishes that drive 70 % of sales; recovers 2 to 4 margin points without touching headcount, in 6 weeks
Group of 3 or more locations, 30+ staffEach chef builds their own prep and head office audits once a quarterOne spec sheet with per-location forecast plus a weekly 20-minute audit; food cost variance across sites drops from 7 points to under 2
Opening within 90 days, team not yet hiredLeaving prep design for «once operations settle down»Write the 15 spec sheets BEFORE opening and train on them; saves 3,000 to 7,000 USD of waste in the first quarter
The numbers that matter

The numbers you decide with

32%
maximum food cost per dish in the Masterestaurant standard; above that, prep is mis-sized
13%
of food produced is lost between harvest and retail worldwide
1in 10
people fall ill every year from eating contaminated food, per global surveillance
76%
of consumers read reviews before choosing a local restaurant in their area
45%
of a typical restaurant's total cost sits in food plus beverage, the line mise en place governs
20min
target prep time to hold position in delivery app listings
Visualization
The numbers, visualized
The numbers, visualized32% maximum food cost per dish in the Masterestaurant standard; ; 13% of food produced is lost between harvest and retail worldwid; 1in 10 people fall ill every year from eating contaminated food, pe; 76% of consumers read reviews before choosing a local restaurant; 45% of a typical restaurant's total cost sits in food plus bever; 20min target prep time to hold position in delivery app listingsmaximum food cost per dish in the Masterestaurant standard; above that, prep is mis-sized32%of food produced is lost between harvest and retail worldwide13%people fall ill every year from eating contaminated food, per global surveillance1IN 10of consumers read reviews before choosing a local restaurant in their area76%of a typical restaurant's total cost sits in food plus beverage, the line mise en place governs45%target prep time to hold position in delivery app listings20min
Sources: Masterestaurant internal data · FAO 2024 · World Health Organization 2024 · BrightLocal Local Consumer Review Survey 2024 · National Restaurant Association 2025Chart by masterestaurant.com
Real case

“They told us the kitchen was the problem, so we hired two more prep cooks: payroll went up 1,900 USD a month and prep time stayed at 26 minutes. With Masterestaurant we split prep into two cuts, 60 % at 11:30 and the rest at 17:00, and portioned the eight dishes that make 71 % of our sales. Six weeks later prep time was 15 minutes, waste fell from 8.2 % to 3.9 % of food cost, and Uber Eats returned us to the first block of the listing in our zone: we went from 310 to 498 monthly orders without a single extra peso in ads. We sent the two extra cooks back to the original roster.”

— Operations manager of a 34-table Peruvian restaurant in Bogotá, mixed dine-in and delivery
How to apply it in your restaurant

How to choose in 5 questions

What share of your tickets arrives through a screen?
Pull the last 60 days and add Rappi, Uber Eats, DiDi Food and WhatsApp orders. Under 20 %, stay with the single run plus a printed checklist: splitting prep will not repay the effort. Between 20 % and 50 %, move to two cuts with the second glued to your digital peak. Above 50 %, stop thinking like a dining-room restaurant: prep has to be organized by platform SKU and time window, because at that point prep time is literally your ranking.
Is your food cost above 32 %?
Calculate it dish by dish rather than globally, because the average hides the two or three plates bleeding your margin. If more than a quarter of your menu sits above 32 %, the priority is not better buying or harder negotiation with the supplier: it is portioning your fastest movers to the gram, which is the highest-yield prep intervention there is. A restaurant with 45 % of cost in food and beverage recovers two to four margin points from standardized portioning alone, without touching prices.
Can the kitchen open without your best cook?
Try it next Tuesday unannounced and measure what breaks. If service degrades visibly, you do not have mise en place, you have a person: the knowledge lives in a head rather than a document, and that is a continuity risk, not a virtue. The fix is writing spec sheets for your fifteen main dishes with photo, gram weight and timing, then using those sheets as kitchen training material. The proof it worked is boring: food cost does not move when that person is out.
How many times a month do you weigh waste?
If the answer is zero, no prep decision you make will be verifiable and you will be arguing opinions with your chef for years. Start with the minimum: weigh what gets thrown out, once a day, for fourteen days, written on a sheet taped to the bin. That data surfaces the two or three products being over-prepped, and that is where you trim quantities without fear of running short. Without measurement, cutting prep is a bet; with it, arithmetic.
Does your Google profile match the real operation?
Check whether your Google Business Profile hours match the hour you can genuinely serve with prep complete, because a guest arriving at 11:15 to a half-built kitchen writes the two-star review that takes weeks to offset. Align hours to real capacity, switch on the delivery attribute and answer every review from the last ninety days. With 76 % of consumers reading reviews before choosing, that coherence between what the profile promises and what leaves the pass is worth more than any campaign.
✦ AI applied

And with AI?

Forecast demand, adjust purchasing and automate operations checklists. Diego F. Parra is an expert in AI applied to restaurants.

Masterestaurant tools & method

Ecosystem tools to build this

None of this needs expensive software, though it does need the numbers in one place. These three Masterestaurant pieces cover diagnosis, growth and cash, which are the three questions a manager faces when deciding how much prep to build on a Tuesday.

Diego F. Parra

Diego F. Parra — International consultant, expert in creating and scaling restaurants and in AI applied to restaurants, foodtech and HORECA. Methodology applied in 8.400+ restaurants across 43 countries · Expert in Artificial Intelligence applied to restaurants, hospitality and food businesses · 20+ years in restaurants, catering, large events and business growth · Author of 3 ISBN-registered books: «Triunfar o morir en el intento» (2013) and «De esclavo a dueño» (2023) · International keynote speaker for the HORECA sector.

FAQ

Questions that land every week

I am an independent with 12 tables and no delivery — should I split prep into two cuts?
No. Under 15 tables and almost entirely dine-in, the second cut adds complexity with no return. Stay with the single run and add one printed twelve-line checklist carrying quantity and cut-off time: it costs nothing, lands in three days and typically trims waste from 6 % to 3.5 % of food cost.

I am an independent with 12 tables and no delivery — should I split prep into two cuts?

No. Under 15 tables and almost entirely dine-in, the second cut adds complexity with no return. Stay with the single run and add one printed twelve-line checklist carrying quantity and cut-off time: it costs nothing, lands in three days and typically trims waste from 6 % to 3.5 % of food cost.

I run a 100 % delivery dark kitchen — should I copy a dining-room prep sheet?
Do not copy it: a dining-room kitchen preps for seated guests while you prep for algorithm windows. Organize prep by platform SKU and time band, portioned to the gram, and track prep time as your primary metric. Holding it under twenty minutes is what protects your position in the listing for your zone.

I run a 100 % delivery dark kitchen — should I copy a dining-room prep sheet?

Do not copy it: a dining-room kitchen preps for seated guests while you prep for algorithm windows. Organize prep by platform SKU and time band, portioned to the gram, and track prep time as your primary metric. Holding it under twenty minutes is what protects your position in the listing for your zone.

I own three locations — should each chef build their own prep?
Not if you want to compare sites. With free-form prep, food cost variance between locations reaches seven points and you never know whether the neighborhood or the cook is the problem. One spec sheet, a per-location forecast and a weekly twenty-minute audit usually pull that variance under two points within a quarter.

I own three locations — should each chef build their own prep?

Not if you want to compare sites. With free-form prep, food cost variance between locations reaches seven points and you never know whether the neighborhood or the cook is the problem. One spec sheet, a per-location forecast and a weekly twenty-minute audit usually pull that variance under two points within a quarter.

How long does mise en place take in a mid-size restaurant?
In a 20 to 40 table mixed-channel operation, between 3 and 4.5 labor-hours a day split across two cuts. What almost nobody prices is the cost of the badly placed hour: cutting at nine what gets plated at nine degrades product, raises inventory waste and forces you to redo work you already paid for.

How long does mise en place take in a mid-size restaurant?

In a 20 to 40 table mixed-channel operation, between 3 and 4.5 labor-hours a day split across two cuts. What almost nobody prices is the cost of the badly placed hour: cutting at nine what gets plated at nine degrades product, raises inventory waste and forces you to redo work you already paid for.

Does mise en place affect my ranking on Google Maps and the apps?
Yes, directly and measurably. Apps sort listings using prep time and cancellation rate, both decided during the morning setup; Google Business Profile weighs recent reviews, and reviews talk about delays. A kitchen that leaves on time produces better reviews, and with 76 % of consumers reading them before choosing, that is traffic.

Does mise en place affect my ranking on Google Maps and the apps?

Yes, directly and measurably. Apps sort listings using prep time and cancellation rate, both decided during the morning setup; Google Business Profile weighs recent reviews, and reviews talk about delays. A kitchen that leaves on time produces better reviews, and with 76 % of consumers reading them before choosing, that is traffic.

Data & sources

Sector data 2026 (official sources)

Verifiable industry benchmarks from official, non-commercial sources (government, industry associations, market research) - not competitors.

MetricBenchmark 2026Source
Participación de la mujer en la fuerza laboral restaurantera de México60% de la fuerza laboralINEGI / CANIRAC
Ratio de rotación de inventario de comida (benchmark)4 a 8 veces por mesSculpture Hospitality (regla de la industria)
Cuota de DoorDash en entregas de comida (EE. UU.)67% de las ventas observadas (marzo 2024, con Caviar)Bloomberg Second Measure 2024
Cuota de Uber Eats en entregas de comida (EE. UU.)23% de las ventas observadas (marzo 2024)Bloomberg Second Measure 2024
Cuota nacional de DoorDash a fin de 2024 (EE. UU.)60,7% (Uber Eats 26,1%; Grubhub 6,3%)Earnest Analytics 2024
Tiempo total en drive-thru de QSR (EE. UU.)Mejoró de 6:13 (2022) a 5:29 (2024)Intouch Insight 2024

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Author: Diego F. Parra  ·  Publisher: MASTERESTAURANT®
Content created with AI assistance, reviewed by the MASTERESTAURANT editorial team.
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