Feasibility Calculator: When Technology Becomes Logistics’ Best Ally

The simulation begins with the input of information such as the size of the site, estimated construction costs and expected rental rates. Based on this data, the system projects expenses, construction timelines and the potential pace of warehouse occupancy.

The analysis considers factors such as rent-free periods granted to tenants, commercial commissions, taxes and maintenance costs. Expenses related to property taxes and condominium fees can also be included for periods when part or all of the property remains vacant.

By combining these variables, the technology makes it possible to estimate the project’s financial return and compare it with alternative investments. The objective is not simply to calculate a final result, but also to identify which factors have the greatest impact on the project’s viability.

“It works by simulating the ‘real life’ of a logistics project. We enter basic information such as the size of the site, estimated construction costs and the target rental rate. From there, the calculator does the heavy lifting: it projects construction time and costs, simulates the warehouse leasing pace, including rent-free periods and commissions, and deducts taxes and maintenance costs. In the end, it clearly shows what the investor’s return will be, comparing the project directly with safer alternatives such as fixed-income investments,” Barreto explains.

One application of this type of tool is stress testing. The person responsible for the analysis can assess, for example, what would happen if construction costs increased by 10%, if the schedule were delayed or if the warehouse took six months longer than expected to be leased.

As assumptions are changed, the financial indicators are recalculated. This makes it possible to determine whether the project remains viable under less favorable conditions and to estimate how much room there is to absorb unexpected events.

The analysis can also reveal situations in which a site that initially appears inexpensive becomes unattractive once approval, construction, maintenance and vacancy expenses are included. Likewise, it can help identify projects that are overly dependent on optimistic rental projections or rapid occupancy.

Feasibility simulators can make the decision-making process faster and more standardized, but their results depend directly on the quality of the data and assumptions used. Outdated cost estimates or rental projections that do not reflect current market conditions can produce unrealistic assessments.

For this reason, these tools should be viewed as a form of support rather than a replacement for engineering, architecture, market, licensing and legal analyses. Their main role is to organize information, make risks more visible and allow different hypotheses to be assessed before capital is committed.

In a sector characterized by large investments and long-term projects, the ability to simulate different scenarios helps developers and investors better understand the conditions required for a logistics development to remain financially sustainable.