This project applies ABC and XYZ inventory classification to the Brazilian Olist e-commerce dataset. ABC analysis identifies products according to their revenue contribution, while XYZ analysis evaluates demand predictability using monthly sales data. The two methods are combined to create a 9-category ABC–XYZ matrix, providing insights into inventory value, demand variability, and appropriate inventory management priorities.

Caso C&A - Selección de Vivienda para Compañía Internacional

Kriging vs IDW spatial interpolation of June 2026 max temperature across 24 weather stations in Sri Lanka.

Outline and introduction