This report analyzes sales turnover irregularities in the International toy supply chain. Notably, sales linked to a U.S Sales Representatives display erratic patterns lacking linear trends or predictable frequency. Monte Carlo simulations reveal flawed modeling assumptions, resulting in unsustainable bias and uncorrelated variables such as quantity and price. These patterns indicate systemic issues in data quality or manipulation. The sales data, largely from U.S. entities manufacturing in China, reflects sparse and inconsistent transactional behavior. Frequency modulation without seasonal logic further challenges forecasting accuracy. Tax inconsistencies and potential regulatory oversights also raise concerns over pricing structure integrity. A corrected simulation approach is recommended to restore credibility and enhance decision-making reliability.

examen parte uno

ainda estou aprimorando o código.

Carolina Quintero Grajales Mariana Salazar Arenas Juan Manuel Berrio Rodas