Análisis y pronóstico de las ventas para la optimización de tiempos de importación en la empresa IMPORGUIDSA mediante la aplicación del modelo de series de tiempos ARIMA.

Abstract

In a business environment marked by increasing globalization and changing market dynamics, sales management optimization and efficient inventory management have become fundamental pillars for the success and competitiveness of organizations. This research work focuses precisely on addressing these challenges in the operational context of the importer IMPORGUIDSA through an analytical approach based on the ARIMA (AutoRegressive Integrated Moving Average) model. The main purpose of this research is to provide a solid methodology to analyze and project IMPORGUIDSA's sales, allowing an accurate anticipation of market demands. With the implementation of the ARIMA model, we seek not only to forecast future sales trends, but also to optimize import times and inventory management in line with current market needs. With the implementation of the ARIMA model, the aim is not only to forecast future sales trends, but also to optimize import times and inventory management in line with current market needs. To carry out this analysis, the R Studio tool was used, which offers an efficient and powerful environment for data manipulation and visualization. Through detailed analysis of the data obtained, this research seeks to provide an informed view of customer buying patterns, seasonal patterns and market fluctuations. The results obtained will provide IMPORGUIDSA with valuable information to make informed strategic decisions, adapting its import and inventory management approach to effectively meet changing consumer demands.