Dataset_AI_Supply_Optimization

This dataset contains 36,000 records with 10 variables related to supply chain optimization using AI. It includes key logistics data such as product category, quantity sold, route distance, transit time, transportation cost, and traffic conditions. Additionally, environmental factors like temperature and precipitation are provided, enabling predictive analysis and route optimization. The dataset supports studies on AI-driven supply chain efficiency, cost reduction, and decision-making.