September 10, 2025

Optimizing Demand Forecasting: Classical Statistical Models vs. AI-Driven Approaches

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Comparison of forecasting methods reveals AI-driven approaches improve demand accuracy in retail, suggesting optimization strategies are crucial.

AI-driven approaches improve accuracy in demand forecasting, demonstrating superiority over classical models.
The research identified Fourier transformation combined with other methods as a leading forecasting model.
Distinct forecasting algorithms were tested, revealing ongoing challenges in selecting optimal prediction strategies.
Effective optimization strategies are essential to minimize stock outages and reduce costs in retail operations.

Zotic et al. (2025) studied this question.

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Comparison of forecasting methods reveals AI-driven approaches improve demand accuracy in retail, suggesting optimization strategies are crucial.