The results reveal that advanced machine learning models significantly outperform traditional methods, providing superior accuracy and stability in forecasts. These findings underscore AI’s potential to address challenges such as fluctuating demand and inventory management in the distribution sector. The study recommends adopting Gradient Boosting models and implementing continuous monitoring systems to optimize SCM processes. This research highlights the critical role of AI in transforming supply chains in the distribution industry and emphasizes the need for skill development to fully harness technological benefits.

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AI-Driven Sales Forecasting: A Case Study in Supply Chain Optimization

  • Youness Gherabi,
  • Zakaria Benjouid,
  • Zoubida Benmamoun

摘要

The results reveal that advanced machine learning models significantly outperform traditional methods, providing superior accuracy and stability in forecasts. These findings underscore AI’s potential to address challenges such as fluctuating demand and inventory management in the distribution sector. The study recommends adopting Gradient Boosting models and implementing continuous monitoring systems to optimize SCM processes. This research highlights the critical role of AI in transforming supply chains in the distribution industry and emphasizes the need for skill development to fully harness technological benefits.