Abstract
The logistics and supply chain industry is undergoing a transformation with the integration of artificial intelligence (AI) and deep learning technologies. Neural networks, a subfield of AI, are playing a crucial role in optimizing supply chain management by providing accurate demand forecasting, inventory management, route optimization, and real-time decision-making. This article explores the applications of neural networks in logistics, focusing on their ability to enhance operational efficiency, reduce costs, and improve customer satisfaction. By leveraging neural networks, logistics companies can develop smarter, more adaptive supply chains that respond to dynamic market conditions and consumer needs.
All articles published in the American Journal of Artificial Intelligence and Neural Networks (AJAINN) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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