2026 Vol.9 Apr.N02

• Title: Research on Automobile Demand Forecasting System Based on Integrated Learning and Portrait Analysis
• Name: Keran Wang, Longfeng Wang *
• Company: Liaoning Petrochemical University, Fushun 113001 China
• Abstract:

  To address the challenges of automotive industry development and demand identification, this study developed an automotive profiling and prediction system. By analyzing consumer preferences and demands, integrating multi-source data processing and machine learning technologies, and employing an ensemble learning framework with Bayesian optimization for parameter tuning, the system achieved a 90.2% prediction accuracy. Capable of real-time data input, visual profiling, and demand forecasting, it demonstrated 37% improvement in marketing response rates and 28% enhancement in recommendation relevance in practical applications. This research provides a scalable intelligent solution for supply-demand analysis and product development in the automotive industry.

  
  

• Keyword: automobile demand forecasting; user profiling analysis; ensemble learning; Bayesian optimization; intelligent recommendation system
• DOI: 10.12250/jpciams2026090404
• Citation form: Keran Wang, Longfeng Wang .Research on Automobile Demand Forecasting System Based on Integrated Learning and Portrait Analysis[J]. Computer Informatization and Mechanical System,2026,Vol.9,pp.

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