Territorial prefeasibility for new restaurants (MTIE): mistakes vs the right method

The busiest corner is the one that broke the business

The most visible thing about a territory is also the least predictive: sidewalk traffic. That confusion accounts for a large share of early closures. In Medellín an owner committed to five years on a corner thick with pedestrians and pulled the shutters in month eleven, carrying a 180-million-peso debt; the walkers were real, but they were on their way to three shopping centres less than a kilometre off, which kept the spending of that district. His register never reached the 42,000-peso check the financial model demanded. Stack the cost pressure on top: ACODRES measured a 9.8% rise in menu prices across Colombia in 2025, needed to sustain 98,000 jobs, and a model built tight on day one cannot absorb that. MTIE prefeasibility measures WHERE the money settles, not how many shoes cross the pavement.

The four variables you measure before signing, and in that order

Four variables decide whether a new site holds: supply density per block, the spending power of households inside the polygon, rent load against projected sales, and the food cost you can actually hold with the suppliers who truly climb to that door. Sequence weighs as much as the list. Begin with what those households can spend and with the share of that money which has historically gone to eating out, because it sets the CEILING for the whole operation; move to installed supply, which splits that ceiling among competitors; negotiate rent last. Under table service, rent should stay below 10% of projected sales, and no plate should cost more than 32%, a tolerable maximum and never a target. Diego F. Parra insists on that sequence with every Masterestaurant client: first the money that exists, then who takes it.

Prefeasibility is a revocable verdict, not a handsome report

A date separates prefeasibility from an autopsy, not a quantity of information. A flawless study arriving after the signature documents the burial. MTIE exists to hand down a verdict while the letter of intent is still alive, when the owner can still push the chair back without paying a peso, and that right to leave beats any five-year sales projection. Take the Medellín case and close the study a fortnight before signing: the leak of spending toward the big retail anchors shows up, the viable check drops from 42,000 to roughly 28,000 pesos, the model fails to balance, the owner hunts another address and the contract never happens. Eleven months of trading, a full payroll and 180 million in debt hung on a date, not on one more data point.

The public cost of every twelve-month closure

Somewhere between eight and fourteen formal positions, all funded with public money, vanish whenever a restaurant shuts at the twelve-month mark, which is why SATE Institute files this under local economic development instead of the entrepreneur's private business. The financial reading runs drier: a weak file does not produce one isolated bad opening, it produces provisions on the lender's balance sheet. A bank pricing a hospitality credit line stays indifferent to the chef's talent; what moves the number is whether the unit landed where the market could sustain it. Nor is sector employment a minor matter: over 67% of U.S. adults have worked in restaurants at some point, 78% among Generation Z (National Restaurant Association, 2026). Every closure erases entry doors to the labour market that no other industry reopens at the same pace.

Where these benchmarks come from and how far they reach?

State the measuring stick. Employment and consumer-behaviour figures here come from the National Restaurant Association and the U.S.

Bureau of Labor Statistics (6.2 million people aged 16 to 19 in the workforce in 2024, 900,000 more than in 2019), while price and cost-pressure data for Colombia belong to ACODRES 2025. Masterestaurant S.A.S., the company behind the MTIE software and technology partner of the model, adds the operating layer: real input cost by zone, hour-by-hour sales curves, occupancy benchmarks gathered in live service. Three limits, and I will not bury them: U.S. data portrays a consumption structure unlike Latin America's and serves as directional reference, never as a parameter; polygon income is estimated from census and cadastral records, which age badly; and no benchmark replaces a local quote.

How to read these numbers in YOUR operation?

What separates the three scenarios is not the size of the dream, it is the rent each structure can carry. Small venue, up to 40 seats and one strong service:

rent load must not pass 8% of projected sales, because without volume fixed costs never dilute, and at 32% food cost your break-even slides three months out under a price jump like the 9.8% ACODRES measured in 2025. Mid-size operation, 60 to 120 seats over two services: 10% is tolerable provided the polygon supports a check 20% above the block average. And a group with three or more units? Negotiate rent pegged to sales and push purchasing power into food cost, because the advantage sits in input scale. Work out your threshold before you set foot in the space.

Presence is not capture: two thousand pedestrians are not two thousand guests

Two thousand people crossing your corner are not two thousand guests when the purpose of the trip is to get somewhere else, and that misreading is the second most frequent fault in the studies I review. Sidewalk headcount tells you nothing; the useful sum multiplies household disposable income inside the polygon by the percentage that household has devoted, year after year, to eating away from home, then divides by the supply units already installed per block. Then shift the sum again, because habits moved: 37% of adults order delivery at least once a week and over 40% do it three to five times a month (UpMenu, 2024). A growing slice of neighbourhood spending no longer walks toward any corner. If your model lives on foot traffic, your competitor is an app.

The real tension: the best location is usually the one you cannot afford

Few owners resolve this paradox well, and every one of them meets it: the polygon with the strongest disposable income charges the steepest rent, so the address that guarantees demand is exactly the one that breaks the 10% occupancy line. The bridge is not hard bargaining, it is a change of format. A short menu, fast turnover and food cost under 30% let a small unit carry a rent a broad-carte restaurant could never hold at that same door: expensive territory gets paid in table speed, not in menu price. The other route is rent indexed to turnover, which hands part of the territorial risk back to the landlord. My recommendation carries no hedge: above 12% of sales in projected rent, stop collecting arguments and find another address. That figure has buried more restaurants than any bad recipe.

Where the decision breaks?

The first break is calendar, not rigour: once the lease is signed, the finest report in the world explains the loss and cannot prevent it.

MTIE therefore works against a revocable letter of intent that can still be torn up at no cost. While that paper is breathing, leaving is free, and an exit that clean weighs more on the balance sheet than any sheaf of projections. Second break: presence confused with capture. Why someone walks your block decides whether they come in, and hunger is rarely the reason; what you can project on is the income households inside the perimeter are free to spend, and the slice of it that historically goes to eating out. At Masterestaurant the sequence is not up for discussion, and Diego F. Parra repeats it until people tire of hearing it: territory first, concept second.

Where the decision breaks — in practice?

A concept gets fixed in six weeks; the wrong address gets fixed by breaking a contract that runs five years. Third, and this one stings:

the polygon that pays best charges rents incompatible with that 10% occupancy line. We settle it with a division rather than a debate about taste, the RATIO of capturable sales to rent load. Run the numbers and the winner is almost always the second ring, three or four blocks behind the premium strip, where rent falls 30 to 40% while capture gives up only 12 to 18 points. A note on menus, which weigh more in prefeasibility than people expect: if the project includes QR, the PHYSICAL menu stays. The screen handles home delivery, accessibility, price updates and analytics; paper runs service pacing and suggestive selling, which is where the check comes from. Removing it costs 6 to 11% of average check in suggestions nobody made, so the sales threshold of the whole study climbs.