Ciclicidad del flujo logístico en Alemania, Francia, Italia, Países Bajos, Reino Unido

Abstract

In international trade, the ability to anticipate demand is key to optimizing resources, reducing risks, and improving decision-making. Globalization and market variability mean that exporters face constant challenges, such as price fluctuations, regulatory changes, and shifts in consumer preferences. This monograph aims to implement predictive modeling techniques, such as linear regression, to anticipate export trends. Through the analysis of historical data, it seeks to build advanced analytical tools that allow for more accurate demand forecasting. To this end, tools such as Excel with Power Query and Power Pivot will be used, enabling the efficient integration and processing of large volumes of data. The ultimate goal is to provide an accessible and practical methodology for exporters, helping them improve their planning and increase their competitiveness in the international market.