Improved Profitability Through Residual Value Analysis: Predictive Modeling for Vehicle Pricing and Market Strategies
Year: 2025
Type: article
Abstract: An innovative approach to residual value prediction in the automotive industry demonstrates how advanced machine learning techniques can improve valuation accuracy.Moving beyond traditional forecasting methods, sophisticated AI-driven models have transformed leasing operations, pricing strategies, and market performance.Through deep learning architectures and ensemble methods, significant improvements in prediction accuracy emerge across various vehicle segments, particularly in handling complex market dynamics and emerging technologies like electric vehicles.The integration of multiple data sources, real-time analysis, and specialized modeling techniques enhances residual value forecasting, offering practical solutions for automotive sector challenges.
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4411256251