Análisis de datos para la evaluación del rendimiento y optimización de las ventas de carros de marca Peugeot en el Ecuador.

Abstract

This research work is based on analyzing the performance and optimization of sales of Peugeot vehicles in Ecuador. After an exhaustive analysis we could notice that currently here in Ecuador is not given so much importance to artificial intelligence in companies, this is why there is a need to increase machine learning techniques to analyze the performance of sales of Peugeot cars, and with this information can develop recommendations for their optimization. To be able to successfully perform this analysis, we first reviewed key concepts to understand in more depth the models to be used, then applied these concepts in practice by RStudio where a k-means model was first performed where we managed to segment customers into 3 groups and then based on this information we were able to predict the sales in dollars of the next two years for each segment and thus see which group of customers was generating more revenue for the company and which was the segment that bought the least cars of this brand. In the end as results we obtained that the segment that most cars Peugeot bought was the high class 3 segment, but we decided to give different recommendations to increase the sales of each of these different groups of customers, focusing a little more on the segment with more sales and maintaining the quality and essence of the brand.