"Forecast" model assists in inventory management by predicting future demand based on historical data, enabling businesses to optimize stock levels and meet customer needs efficiently.
What's more, a wizard is available to compute the anticipated quantities retrospectively with respect to a period in the past. Once the form is confirmed, the corresponding moves are created and spread homogeneously across the said period. This allows for other processes to take the forecasts into account and make informed decisions.
Tryton, the three-tiers high-level general-purpose application platform, forms the foundation of this solution. Under the license GPL-3, it is written in Python and uses PostgreSQL as its database engine. Tryton is, in fact, the core base of an open-source ERP that provides modularity, scalability, and security.
In summary, if you're after a software solution that will enable you to forecast stock movements with ease, trytond_stock_forecast is the way to go. This module is part of the broader ecosystem of Tryton, an open-source ERP that provides a foundation of scalability, modularity, and security.
Version 1.4.0: N/A