Estudo de caso utilizando a linguagem Python na Análise dos dados de vendas em uma loja de materiais de construção

Abstract

This paper explores essential strategies in inventory management, highlighting cross-selling, the use of Big Data tools, and effective inventory control practices. Initially, we address the relevance of cross-selling as a strategy that goes beyond increasing sales, providing a personalized experience to the customer. We discuss the positive influence of Big Data tools on data analysis and demand forecasting, emphasizing their contribution to improving operational efficiency, especially using Python programming. The discipline of inventory control is examined, focusing on its importance in cost optimization and maintaining the balance between supply and demand. By exploring the practical application of these concepts, we highlight the importance of demand forecasting and efficient inventory layout for cross-selling strategies. We conclude by recognizing that data analysis is the central element of these practices, providing crucial insights for informed decisions and continuous improvements.