VA Proyecciones: Demand Forecasting Statistical Library

Context

In the inventory planning and distribution workflows of Vinos América, there was a requirement to accurately automate the demand forecasting of thousands of combinations of product_id + warehouse_id.

To solve this challenge in a robust and industrialized way, VA_Proyecciones was designed and implemented, an internal modular Python library specializing in demand classification, statistical modeling, and backtesting of time series.

[!NOTE]
Confidentiality and Intellectual Property Note:
Being a predictive analytics library at the core of the company’s business, the source code and connection variables are not public (not open-source) in order to protect formulas and the organization’s competitive advantages in distribution.