
It integrates forecasting, business collaboration and performance control into a single structured process. It connects historical data, market signals and business criteria to build reliable and actionable demand.
All teams work on a single, consensual version of the demand, reducing friction and unproductive discussions.
Each setting is documented, allowing us to understand who modified what and why.
Clear review, validation and approval cycles are established with defined roles.
Each scenario allows us to evaluate how changes in volume or mix affect margin and profitability.
Algorithms that combine traditional methods and machine learning to improve accuracy.

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Incorporate market data, promotions or external variables to adjust for the short termIncorporate market data, promotions or external variables to adjust for the short term
Structured workflows that allow controlled and audited collaboration.
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Identify systematic patterns of error and opportunities for improvement.
It allows you to evaluate campaigns, price changes or launches before executing them.
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Plan for demand with greater precision and strategic alignment. With Pyplan, integrate statistical models, artificial intelligence and multifunctional collaboration into a single process that connects sales, operations and finance.

Capture changes in demand in real time and increase your short-term assertiveness

Assign fair and accurate trading quotas with integrated data and intelligent models
“Pyplan nos ha permitido ahorrar miles de horas al simplificar procesos complejos y facilitarla colaboración entre equipos”.
Ver casos de éxito
Nacional Gás transformed its planning by integrating demand, inventories and financial analysis into a unified and more collaborative model.

Necta modernized its natural gas planning by integrating demand, supply and operation into an intelligent model.

Cellera Farma integrated demand, supply and finance into a single model to decide with greater agility and predictability.