Main CAR Sale Factor

Research into the main factors driving car sales seeks to understand consumer preferences and improve marketing strategies. Current investigations utilize machine learning techniques, particularly artificial neural networks like Self-Organizing Maps (SOMs) and deep learning architectures such as EfficientNets, to analyze large datasets of consumer behavior and identify key influential factors. These studies aim to provide manufacturers with actionable insights to optimize product development and increase sales, ultimately impacting the automotive industry's efficiency and competitiveness.