In the face of increasingly complex and volatile supply chains, artificial intelligence has emerged as a strategic lever for businesses. By analyzing vast amounts of real-time data, AI enables process optimization, improved demand forecasting accuracy, and disruption anticipation. From production to logistics and inventory management, AI is profoundly transforming various segments of the supply chain. Companies adopting these technologies gain agility, reduce costs, and enhance customer satisfaction. This study delves into the specific segments of the supply chain impacted by AI between 2018 and 2024, as well as the prevalent techniques employed during this period.

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Optimizing Supply Chain Performance with AI: Case Studies and Trends (2018–2024)

  • Es-safy Nawal,
  • Fouraiji Hicham,
  • Messaoudi Najat

摘要

In the face of increasingly complex and volatile supply chains, artificial intelligence has emerged as a strategic lever for businesses. By analyzing vast amounts of real-time data, AI enables process optimization, improved demand forecasting accuracy, and disruption anticipation. From production to logistics and inventory management, AI is profoundly transforming various segments of the supply chain. Companies adopting these technologies gain agility, reduce costs, and enhance customer satisfaction. This study delves into the specific segments of the supply chain impacted by AI between 2018 and 2024, as well as the prevalent techniques employed during this period.