HomeGuides › Social Impact
Guides

The IDB #SinDesperdicio initiative and the role of restaurants: myth vs reality

Diego F. Parra By Diego F. Parra · Updated 2026-07-10· Social Impact
The IDB #SinDesperdicio initiative and the role of restaurants: myth vs reality — Masterestaurant
Quick verdict

Verdict: The IDB #SinDesperdicio initiative and the role of restaurants is not an image campaign: it is a multi-stakeholder platform aligned with SDG target 12.3 (halving food waste by 2030) in which a gastronomic MSME can participate by measuring its food loss and waste (FLW) with a replicable method. The myth says the independent restaurant is a passive actor that only donates leftovers; the reality is that the restaurant is the measurement node where waste becomes data, credit risk and operational savings. A typical Latin American restaurant wastes 4%-10% of the food it buys, and that shrinkage is hidden food cost eroding the contribution margin. This guide shows, step by step, how to move from ignored leftovers to an audited baseline and a report compatible with multilateral banking.

🧭 GuideStep-by-step guide with a measurable outcome per step· 14 min read· 2026-07-10

The IDB #SinDesperdicio initiative is a regional platform launched by the IDB Group that brings together public sector, private sector, academia and civil society to tackle food loss and waste (FLW) in Latin America and the Caribbean, the region that proportionally wastes the most food per person on the planet. The independent restaurant, backbone of the gastronomic MSME, is both a source of waste and a very high-return point of intervention.

For the development economist, food waste is not an isolated environmental issue: it is a vector cutting across SDG 12 (responsible consumption and production, target 12.3), SDG 8 (decent jobs destroyed when the MSME fails due to runaway food cost) and SDG 9 (data infrastructure and innovation). Every kilo a restaurant discards without measuring is evaporated working capital and a credit-risk signal no financial statement captures.

This document translates the restaurant's micro-operation —the kitchen trash bin— into the macroeconomic indicator it moves, and delivers a measurement procedure an owner can run in a week without external consultants, generating the baseline evidence that multilateral banking requires to finance circular economy and short supply chains (SSC).

Side-by-side comparison

Side-by-side comparison

Restaurant WITHOUT #SinDesperdicio methodRestaurant WITH #SinDesperdicio method
FLW measurement0 records; waste estimated by eyeDaily log in 4 categories; baseline in 7 days
Shrinkage over purchases8%-10% unrecorded (hidden food cost)20%-40% shrinkage reduction in 90 days
Margin impact-2 to -4 pts of contribution margin lost+2 to +3 pts recovered without raising prices
Traceability for bankingNo evidence; ineligible for green creditAuditable SDG 12.3 report; creditworthy
Supply chainLong wholesale chains, high in-transit lossShort chains (SSC) with measured local suppliers
Implementation costUSD 0 but continuous working-capital lossUSD 0-120 in tools; payback in 6-10 weeks

What is #SinDesperdicio and why should a restaurant owner care

#SinDesperdicio is a regional Grupo BID platform that connects the public sector, private sector, academia and civil society to attack food loss and waste (FLW) in Latin America and the Caribbean, the region that proportionally throws away more food per person than any on the planet. For an owner this is not philanthropy: it is access to a framework that multilateral banks endorse. The backdrop is heavy: 181.9 million people in the region cannot afford a healthy diet, per the FAO (SOFI 2024), while the gastronomic MIPYME —the sector's backbone, with 581,530 establishments in Mexico alone and roughly 2 million jobs (INEGI/CANIRAC 2022)— throws out product it already paid for. The first deliverable of this guide is understanding that every unmeasured kilo wasted is evaporated working capital. I have seen it in dozens of kitchens: food cost spikes and nobody knows why. That is where the method begins.

Step 1: set your baseline by weighing waste for seven days

Set your baseline by weighing all waste for seven consecutive days, split into two labeled bins: pre-consumer (kitchen) and post-consumer (customer's plate). Measurable deliverable: a table of kilos per day and per category, plus the peso cost of that product from your purchase invoices. Without this number there is no demonstrable reduction and no access to circular-economy instruments; multilateral banks require a verifiable baseline before financing. An average restaurant discovers here that it throws away between 4% and 10% of what it buys, pure food cost hidden inside every plate. With 41.4% of Mexico's occupied workforce in micro-enterprises (INEGI, Economic Census 2024), we are talking about thousands of kitchens without this figure. Weigh with a $300 scale, do not eyeball it: «I think we throw away little» is exactly the intuition the method destroys. By the close of day 7 you hold your evidence.

Step 2: classify waste into pre-consumer and post-consumer

Classify every gram of waste as pre-consumer or post-consumer because each is attacked with a different lever and confusing them wastes effort. Pre-consumer is what dies in preparation: trim, overproduction, spoilage in the cooler, line errors; it is fought with menu engineering and tighter purchasing. Post-consumer is what the customer leaves on the plate; it is fought with portion size and dish redesign. Deliverable: two clear percentages —what fraction of your total waste is pre and what is post— with their associated cost. This cut is the one most owners skip, and that is why they fail: they donate more or buy less without knowing where the cash bleeds. In a context where SMEs are roughly 90% of firms and more than 50% of global employment (World Bank, SME Finance), this precision decides whether the business survives or collapses from runaway food cost. Turn your waste kilos into pesos using real purchase cost and set an explicit target aligned with SDG 12.3: halve food waste by 2030.

Step 3: turn kilos into pesos and set an SDG 12.3 target

Deliverable: a monthly amount of money thrown away and a numeric reduction target at 6 and 12 months, written down, not kept in your head. Here waste stops being environmental sentiment and becomes a line in the income statement. As Diego F. Parra often repeats at Masterestaurant, the mistake I see again and again is treating waste as an unavoidable fixed cost when it is the cheapest margin lever there is: you recover it without touching the sale price. A restaurant that cuts waste from 8% to 4% of purchases lifts its contribution margin several points at once. With applied AI —today only 4% of the region's firms use it versus more than 20% in Europe (CEPAL 2024)— demand forecasting sharpens purchasing even further. Attack each waste type with its specific lever and weigh again to verify the intervention worked. For pre-consumer: redesign your spec sheets, adjust the minimum purchase, use trim in stocks and broths, and reassign the ingredient about to spoil to a fast-turning dish.

Step 4: attack each waste type with its lever and verify

For post-consumer: shrink the portion of the plate that comes back half full or split it into two priced sizes. Deliverable: a second week of weighing that documents the real reduction in kilos and pesos against the baseline. This is what multilateral M&E demands: not the promise, but the data series with a before and after. Family farming is 81% of the region's agricultural holdings (FAO, 2024); buying short supply chains cuts in-transit waste and sustains that fabric. Without verification there is no reduction, only good intentions. The most common mistake is eyeballing waste instead of weighing it: «I think we throw away little» undervalues real waste by 30% to 50% in almost every kitchen I have audited. The second mistake is not separating pre from post-consumer, which leads to the wrong lever —cutting portions when the problem was kitchen overproduction—. The third is measuring one week, celebrating and quitting: without recurring weighing, waste returns.

Common mistakes when running this guide and how to avoid them

The fourth is loading payroll or rent onto plate cost to «justify» the waste; food cost and fixed expenses are separate accounts, and food cost per plate should not exceed 32%. The fifth is donating surplus before measuring: donating is noble, but without a baseline it generates no evidence the bank requires. With 638 to 720 million people going hungry in 2024 (SOFI 2025), surplus matters, but you measure first, then decide. You know everything is done right when you can show five concrete deliverables. One: a seven-day baseline with kilos and pesos per category. Two: the pre-consumer versus post-consumer cut with its two percentages. Three: the monthly amount of money thrown away and a written target aligned with SDG 12.3. Four: a second measurement documenting the real reduction against the baseline. Five: a decision per lever —which spec sheet changed, which portion shrank, which short-chain supplier came in—.

Closing checklist: how to know everything is done right

If you hold these five papers, you stopped guessing and started measuring, and that baseline evidence is exactly what multilateral banks ask for to finance circular economy. That is the restaurant's real role in #SinDesperdicio: not an image campaign, but data that protects your contribution margin and the formal employment it sustains —23.2% of Mexico's tourism jobs come from restaurants and bars (INEGI 2024)—. The #SinDesperdicio method turns waste from intuition ('I think we throw away little') into a data series with baseline, target and verification, which is what multilateral banking and M&E require to finance. The difference is not donating more, but MEASURING first: without measurement there is no demonstrable reduction nor access to circular-economy instruments. The restaurant with method separates shrinkage into pre-consumer (kitchen, prep) and post-consumer (customer plate), because each is tackled with a different lever: menu engineering vs. portion size.

Where they truly differ

The one that does not measure carries the hidden food cost of shrinkage in every dish; the one that measures recovers it and improves its contribution margin without touching the selling price, protecting the formal jobs it sustains.

Point by point

Comparative analysis: myth vs reality, criterion by criterion

Starting point
A · Restaurant WITHOUT #SinDesperdicio methodBy-eye estimate of waste
B · MasterestaurantAudited baseline in 7 days
Verdict: Without a baseline there is no demonstrable reduction; B is a prerequisite for any report to multilateral banking.
Main lever
A · Restaurant WITHOUT #SinDesperdicio methodDonate leftovers at day's end
B · MasterestaurantPrevent overproduction at prep
Verdict: Preventing beats donating: the 12.3 target hierarchy prioritizes not generating waste over managing it.
Financial impact
A · Restaurant WITHOUT #SinDesperdicio methodShrinkage as 'cost of business'
B · MasterestaurantShrinkage as recoverable food cost
Verdict: B recovers 2-3 margin pts without raising prices; A writes them off and pressures credit risk.
Access to financing
A · Restaurant WITHOUT #SinDesperdicio methodNo evidence, ineligible
B · MasterestaurantAuditable SDG 12.3 report
Verdict: Only traceable evidence makes the MSME eligible for green credit and circular economy.
Side-by-side comparison

The myth: the restaurant is a passive actorMyth

  • Believes #SinDesperdicio is only donating leftovers to a food bank.
  • Assumes measuring FLW requires expensive software or an external consultant.
  • Thinks shrinkage is an unavoidable 'cost of doing business', not a manageable metric.
  • Supposes only large chains can report to multilateral banking.

The reality: the restaurant is the measurement nodeMasterestaurant

  • The restaurant generates the primary FLW data feeding SDG target 12.3.
  • A manual 4-category log builds the baseline in 7 days, no software.
  • Measured shrinkage is recoverable food cost: 2-3 margin pts without raising prices.
  • The MSME with auditable evidence becomes eligible for green credit.
Side-by-side comparison

Side-by-side comparison

Restaurant WITHOUT #SinDesperdicio methodRestaurant WITH #SinDesperdicio method
FLW measurement0 records; waste estimated by eyeDaily log in 4 categories; baseline in 7 days
Shrinkage over purchases8%-10% unrecorded (hidden food cost)20%-40% shrinkage reduction in 90 days
Margin impact-2 to -4 pts of contribution margin lost+2 to +3 pts recovered without raising prices
Traceability for bankingNo evidence; ineligible for green creditAuditable SDG 12.3 report; creditworthy
Supply chainLong wholesale chains, high in-transit lossShort chains (SSC) with measured local suppliers
Implementation costUSD 0 but continuous working-capital lossUSD 0-120 in tools; payback in 6-10 weeks
The numbers that matter

The numbers multilateral banking requires

12.3
SDG target mandating to halve per capita food waste by 2030
127M ton
Food lost and wasted per year in Latin America and the Caribbean
11.6%
Share of food production lost in the region each year
6%
Average food shrinkage over purchases in a restaurant that does not measure (4%-10% range)
8:1
Return reported by WRAP: for every USD invested in cutting waste, average savings
32%
Maximum food cost per dish in sound costing; unmeasured shrinkage pushes it above
Visualization
The numbers, visualized
The numbers, visualized12.3 SDG target mandating to halve per capita food waste by 2030; 127M ton Food lost and wasted per year in Latin America and the Carib; 11.6% Share of food production lost in the region each year; 6% Average food shrinkage over purchases in a restaurant that d; 8:1 Return reported by WRAP: for every USD invested in cutting w; 32% Maximum food cost per dish in sound costing; unmeasured shriSDG target mandating to halve per capita food waste by 203012.3Food lost and wasted per year in Latin America and the Caribbean127M TONShare of food production lost in the region each year11.6%Average food shrinkage over purchases in a restaurant that does not measure (4%-10% range)6%Return reported by WRAP: for every USD invested in cutting waste, average savings8:1Maximum food cost per dish in sound costing; unmeasured shrinkage pushes it above32%
Sources: United Nations, 2030 Agenda (SDG 12.3) · FAO 2024 · FAO / SOFA 2019 · Masterestaurant internal data · WRAP / Champions 12.3 2019Chart by masterestaurant.com
Real case

“The mistake I see over and over: the owner swears they 'barely throw away food', but when we weigh the kitchen bin for seven days, 9% of purchases show up in the trash. That 9% was the margin they were missing. They didn't need to sell more; they needed to stop throwing away measured money.”

— Diego F. Parra, restaurant consultant (Masterestaurant), technology ally of SATE Institute
How to apply it in your restaurant

How to integrate your restaurant into #SinDesperdicio: step-by-step guide

Prerequisites: scale, log and a 7-day window
Before starting you need three things: a kitchen scale (5-10 kg capacity), a simple log (paper or spreadsheet) with four categories, and one normal operating week as the measurement window. Deliverable: a printed log sheet with the four categories (prep shrinkage, expired/damaged product, overproduction, and customer-plate leftovers). Checkpoint: don't start on an atypical Monday or an event week; the baseline must reflect your average operation. Verification: if you have a calibrated scale and the sheet posted next to the trash bin, it's set up right.
Step 1 — Build the FLW baseline in 7 days
For seven days, your team weighs and logs in kilos every time something goes to the trash, classifying it into the four categories. Deliverable: total kilos wasted by category and by day, plus the percentage over the week's total purchases. Control figure: total shrinkage as % of purchases (aim to land in the real 4%-10% range). Common error: weighing only the 'big' items and forgetting small prep shrinkage, which usually adds up to more. Verification: if by day 7 you have a number per category and a shrinkage % over purchases, your baseline is ready.
Step 2 — Tackle overproduction with menu engineering
With the baseline in hand, identify which dishes generate the most overproduction (prepared food never sold). Cut prep batches, adjust demand forecasting by weekday, and remove low-rotation, high-shrinkage dishes from the menu. Deliverable: adjusted menu with 2-4 reformulated or removed dishes and recalculated prep batches. Control figure: the 'overproduction' category falling at least 25% versus baseline. Common error: cutting customer portions instead of adjusting internal prep. Verification: reweigh for a week and compare the category against the baseline.
Step 3 — Activate short supply chains (SSC)
Replace part of your long-chain wholesale purchases with local proximity suppliers, which cut in-transit loss and waste from product that arrives damaged. Deliverable: at least 2 local suppliers onboarded with an agreed measured frequency and volume. Control figure: reduction of the 'expired/damaged product' category and days of perishable inventory. Common error: switching all supply at once and leaving yourself without a backup. Verification: compare two weeks of perishable shrinkage post-SSC against the baseline; it should drop.
Step 4 — Report and become eligible for green credit
Consolidate your three measurements (baseline, post-menu, post-SSC) into a one-page report with baseline, target and reduction achieved, aligned with SDG target 12.3. Deliverable: an FLW reduction report with numerical verification and photographic evidence of the process. Control figure: total % shrinkage reduction versus baseline (initial target: 20%-40% in 90 days). Common error: reporting without keeping the baseline evidence, which invalidates the reduction. Verification: if a third party can reconstruct your calculation from your log, the report is auditable and makes you eligible for circular-economy instruments.
✦ AI applied

And with AI?

Apply AI to your restaurant's day-to-day to decide better and faster. Diego F. Parra is an expert in AI applied to restaurants.

Masterestaurant tools & method

The technology ecosystem that instruments the measurement

The Twin Ecosystem Model separates roles: SATE Institute sets the development agenda, measures impact and operates the programs; Masterestaurant S.A.S., as technology ally and software owner, provides the platform that turns the manual log into a manageable information system (MIS).

These tools do not replace the discipline of measuring: they scale it, trace it and make it reportable to multilateral banking with auditable evidence of FLW and its impact on margin.

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 the book «From Slave to Owner» (Amazon) · International keynote speaker for the HORECA sector.

FAQ

Frequently asked questions

What is the IDB #SinDesperdicio initiative and what is the role of restaurants?
It is a regional IDB Group platform that brings together public, private and social actors against food loss and waste (FLW) in Latin America and the Caribbean, aligned with SDG target 12.3. The restaurant's role is to be the measurement node: it generates the primary waste data, reduces it with method and reports it as auditable impact evidence.

What is the IDB #SinDesperdicio initiative and what is the role of restaurants?

It is a regional IDB Group platform that brings together public, private and social actors against food loss and waste (FLW) in Latin America and the Caribbean, aligned with SDG target 12.3. The restaurant's role is to be the measurement node: it generates the primary waste data, reduces it with method and reports it as auditable impact evidence.

Do I need expensive software to measure waste in my gastronomic MSME?
No. The baseline is built in seven days with a kitchen scale and a four-category log, at no software cost. The ecosystem technology comes later, to scale and trace the measurement and make it reportable to multilateral banking, but the discipline of weighing and logging is what produces the data that matters.

Do I need expensive software to measure waste in my gastronomic MSME?

No. The baseline is built in seven days with a kitchen scale and a four-category log, at no software cost. The ecosystem technology comes later, to scale and trace the measurement and make it reportable to multilateral banking, but the discipline of weighing and logging is what produces the data that matters.

How is food waste related to a restaurant's credit risk?
Unmeasured shrinkage is working capital that evaporates and hidden food cost that erodes the contribution margin, leaving no trace in the financial statements. A restaurant that measures and reduces its FLW demonstrates operational control, better liquidity and lower credit risk, which makes it eligible for green credit and circular-economy instruments.

How is food waste related to a restaurant's credit risk?

Unmeasured shrinkage is working capital that evaporates and hidden food cost that erodes the contribution margin, leaving no trace in the financial statements. A restaurant that measures and reduces its FLW demonstrates operational control, better liquidity and lower credit risk, which makes it eligible for green credit and circular-economy instruments.

How much can a restaurant recover by applying this method?
A restaurant that does not measure wastes between 4% and 10% of its purchases. With the log, menu engineering and short supply chains, a typical 20%-40% reduction of that shrinkage in 90 days recovers 2 to 3 contribution-margin points without raising prices, protecting the formal jobs the operation sustains.

How much can a restaurant recover by applying this method?

A restaurant that does not measure wastes between 4% and 10% of its purchases. With the log, menu engineering and short supply chains, a typical 20%-40% reduction of that shrinkage in 90 days recovers 2 to 3 contribution-margin points without raising prices, protecting the formal jobs the operation sustains.

Data & sources

Sector data 2026 (official sources)

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

MetricBenchmark 2026Source
Peso de la industria restaurantera en México12.2% de las unidades económicas; 581,530 establecimientos; ~2 millones de empleosINEGI / CANIRAC 2022
Microempresas restauranteras en México96 de cada 100 unidades son microempresas y emplean a 70 de cada 100 personas del sectorINEGI 2022
Empleo femenino en restaurantes México55.8% del empleo del sector son mujeres (vs 44.2% hombres)INEGI 2022
Empleo en hostelería España 20241.84 millones de trabajadores en 2024 (+5.4% vs 2023)Hostelería de España 2024
Restaurantes y bares España (empleo y PIB)1.32 millones de trabajadores; ~112 mil millones EUR; 4.8% del PIBHostelería de España 2024
Peso de la hostelería en el PIB de España6.7% del PIB; más de 300,000 establecimientos; 157,379 millones EUR de facturaciónHostelería de España 2024

Grow your restaurant with the Masterestaurant method

Applied in +8.400 restaurants across 43 countries.

MR Comparison Engine v0.9.173