Mexico
We evaluate projects in Mexico. The load unit there is the tarima, the local pallet, and that changes the survey more than it looks: a pallet that is not standard forces the sizing onto the worst of its variants. On the regulatory side we have identified NOM-006-STPS, which governs the handling and storage of materials, but we have not confirmed its exact scope over high-bay storage, so we do not publish it as though we had. Nor do we publish a Mexican cost per square meter: without a consultancy and a date, a figure like that is an opinion. What we can do today is evaluate your operation with your data and tell you what can be improved with what you already have. In Mexico the question that pays off earliest is usually how many pallet variants coexist in the same warehouse: when there are three or four, the problem is not volume but standardization, and that gets solved before buying anything. If your operation is there, write to us with the floor plan, the product list and the peak movements: that is enough to evaluate from here.
What is missing for it to have a pageCost per square meter with a source, confirmed scope of NOM-006-STPS, and the import regime.
Colombia
We evaluate projects in Colombia, where the load unit is the estiba. For Colombia we do not yet have any market, regulatory or customs data verified with a source, and we would rather say so than fill a page with generalities that would serve equally well for the country next door. That does not change what can be done: the first step of a project — sorting out the layout, defining storage locations, reviewing slotting and standardizing the load unit — depends on no market data at all, and it is usually the one that returns the most per unit invested. What we do need from your side is the same as in any other country: the floor plan with dimensions and clear height, the product list with its load unit, and the movements of a representative period, measured at peak rather than on average. With that the diagnosis is done remotely, and it does not depend on us having published the Colombian cost per square meter.
What is missing for it to have a pageAll three.
Peru
We evaluate projects in Peru, where the pallet is also called parihuela. For Peru we have no verified data of our own on the cost of floor space, the applicable regulations or the import regime, and that is why there is no page. What we do know is what to ask: how many storage locations you have today, what the real clear height is up to the lowest point of the roof, and how many movements per hour the operation sustains at peak rather than on average. That is enough to start evaluating from here. There is one detail of the Peruvian survey worth anticipating: when the parihuela and the standard pallet coexist in the same warehouse, the system is sized on the least favorable variant, so knowing the real mix changes the result. None of that depends on a published market figure: it depends on your numbers, and those you already have.
What is missing for it to have a pageAll three.
Brazil
We evaluate projects in Brazil, and it is the country where the language genuinely changes the work: armazém, empilhadeira, palete. There is a vocabulary trap worth knowing from the survey onward, because it changes what is being measured: in Portuguese estoque is the goods and inventário is the process of counting them, and they are not synonyms. On the regulatory side we have identified NR-11, which governs the transport, movement, storage and handling of materials, but we have not yet confirmed the official text in force. We have neither cost per square meter nor an import regime verified. A Brazil page, moreover, is not translated from Spanish: it comes from its own search research and requires review by a native speaker before publication. In the meantime we evaluate all the same: if your operation is in Brazil, the survey is done with the floor plan, the palete you use and the peak movements, and the conversation happens in whichever language suits you. What we will not do is publish a machine-translated page with another country’s data inside it.
What is missing for it to have a pageCost per square meter, the official text of NR-11, the import regime, and a native Portuguese reviewer.
Uruguay
We evaluate projects in Uruguay, which shares its warehouse vocabulary with Argentina. It is the country where proximity to the Mendoza base shows most in day-to-day coordination, and even so we have no verified data of our own for it: no cost per square meter with a consultancy and a date, no regulation with its number, no import regime. Without that there is no page, and a Uruguayan page that repeated the Argentine figures would be exactly the mistake this section avoids. The Uruguayan market has a different scale, a different cost structure and a different customs regime, and assuming otherwise because the vocabulary matches is the kind of shortcut that shows up in the first meeting. If your warehouse is in Uruguay, the survey is done the same way and with the same data: the floor plan, the load unit and the peak movements.
What is missing for it to have a pageAll three.
Central America
We evaluate projects in Central America. Here there is a question that comes before the data: which countries. Central America is not a country but a group, and the regulatory and customs framework changes from one to the next, so a single page would have to say which one it is talking about in every paragraph. Until the scope is defined and the data for each country exists, a section is what corresponds. If your operation is in the region, write to us anyway: the survey is done with the data of your warehouse, not that of the country. What does change from one country in the region to another is the regime under which the equipment enters, and that gets resolved with the appropriate customs broker in each case, not with a generalization written in advance. Tell us where the warehouse is, what floor area and what clear height it has, and we evaluate from there.
What is missing for it to have a pageWhich countries make up the region, and then the three data points for each.