Hybrid Models for Retail Demand Forecasting: Integrating Classical Time-series and Machine Learning Approaches
Amit Choubey · Asian Journal of Research in Computer Science · 2025
This paper presents an idea and implementation of using hybrid models in forecasting retail demand by integrating conventional approaches with machine learning. The objectives are to develop methodologies for building composite structures, sequential residual models, group stacki...
Open access
Research Article
10.9734/ajrcos/2025/v18i8744