Cash flow projection, internal accounting audits, and economic feasibility analysis for large-scale commercial projects. BaltoroFP turns financial data into strategic decisions.
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Statistical models that anticipate liquidity with up to a 12-month horizon, reducing working capital by 12% in commercial chains.
Automatic alerts on budget deviations that allow correcting cost overruns before they impact the net margin.
Monte Carlo simulation and multiple regression to adjust prices and costs, achieving improvements of up to 3.5% in high-volatility environments.
Dashboards that break down items by project, branch, or cost center, with CPI and SPI indicators integrated into ERP systems.
Evaluation of large-scale commercial projects with revenue, cost, and financing scenarios for informed investment decisions.
Weekly reports with deviation analysis, cash trends, and risk alerts, ready to present to management.
Companies that already optimize their financial planning with our modeling and auditing tools.
“We reduced working capital by 12% after implementing their cash flow projections. The statistical model adjusted perfectly to our seasonality.”
“Real-time budget deviation alerts allowed us to correct material cost overruns before they affected the project margin.”
“The Monte Carlo simulation gave us visibility into high-inflation scenarios. We adjusted prices and improved net margin by 3.5 points.”
Choose the level of analysis that fits your project
For companies starting their financial control with cash flow projections.
Statistical analysis and margin optimization for commercial projects.
Comprehensive consulting for large-scale financial planning.
Clear answers on cash flow projection, internal audits, and statistical modeling.
Retail companies with multiple branches, construction firms with complex budget items, and logistics companies operating in high-volatility environments. Modeling allows anticipating profitability and adjusting prices before they impact results.
Through control dashboards that consume real-time accounting item data. Alerts are configured by CPI (Cost Performance Index) thresholds and automatically sent to the finance team to correct deviations before they affect the net margin.
In commercial chains with more than 50 branches, accuracy reaches 88% over 90-day horizons, reducing working capital by up to 12%. The key is adjusting seasonality parameters with historical data of at least 24 months.
No. It is implemented continuously through automatic alerts on material and labor items. In a real case of a construction company, this allowed reducing cost overruns by 8% without interrupting the work.
Mean absolute error (MAE), coefficient of determination (R²), and backtesting with historical data are used. In high-inflation environments, Monte Carlo simulation helps quantify uncertainty and adjust pricing decisions.