Supply chains are considered a fundamental component of the success of industrial and commercial organizations, as they include all processes related to the flow of materials and information from suppliers to end customers. With increasing market complexity and competition, it has become essential to seek intelligent solutions to improve supply chain efficiency. The advancement of artificial intelligence and intelligent algorithms has contributed significantly by providing effective tools for planning optimization, cost reduction, and improved responsiveness. Intelligent algorithms are a set of computational methods based on artificial intelligence techniques such as machine learning, genetic algorithms, and artificial neural networks. These algorithms are characterized by their ability to learn from data, adapt to changes, and make decisions that resemble human reasonin Intelligent algorithms play a vital role in improving supply chain performance through: 1. Accurate demand forecasting based on historical data. 2. Inventory management optimization and reduction of surplus or shortages. 3. Optimization of transportation and distribution processes by selecting cost-effective routes. 4. Real-time decision support. The use of intelligent algorithms in improving supply chains represents a strategic step toward achieving efficiency and sustainability in modern business environments. With continuous technological advancements, these algorithms are expected to play an increasingly important role in decision support and overall organizational performance improvement.