Dynamic Inventory and Strategic Water Quality Management: AI-Powered Solutions for Economic and Environmental Impact

Аннотация

This study examines how AI can change dynamic inventory in the framework of strategic water quality management for economic and ecological impacts in the USA. As global demands for water resources escalate amidst urbanization and rising populations, traditional management approaches frequently fall short in adaptability and efficiency. These systems, when integrated into business operations, reduce waste, ensure compliance with environmental regulations, and further sustainability toward improving public health outcomes at considerably lower costs. It further discusses challenges in data quality, ethical considerations, and a call for collaborative engagement by stakeholders in the actual use of these new technologies. Moving forward with this increasing complexity of resource management, the application of AI represents a critical opportunity for striking a balance between economic growth and environmental stewardship. Keywords: Dynamic Inventory Management; Artificial Intelligence (AI); Water Quality Management; Economic Impact; Predictive Analytics